News and Events

Hasan, M.R., Raja, A. & Bazzan, A. Auton.
“A Context-aware Convention Framework for Large-Scale Networks” in Autonomous Agents and Multi-Agent Systems. DOI link

KONG, T.Y., PAJOOHESH, H., and HERMAN, G.T., String-averaging algorithms for convex feasibility with infinitely many sets, Inverse Problems, Vol. 35, 2019, 045011 (37pp). DOI link

J. Wei, C. Liu, Z. Zhu, L. Cain, V. Velten, "Vehicle engine classification using normalized tone-pitch indexing and neural computing on short remote vibration sensing data", Expert System with Applications, Vol. 115, 276-286, 2019. DOI link

M. Chao, J. Wei, Y. Lo, K. Rosenzweig, "Extraction of Lung Tumor On KV Projection Images for Noninvasive Real Time Tumor Motion Tracking with the Transfer Learning Deep Segmentation Net Jury Committee Algorithm", AAPM'19 (Designation: Oral presentation).

M. Chao, J. Wei, Y. Lo, J. Penagaricano, "Parameterization of Percolation Cluster Models to Assess the Radiation Induced Complication of the Parotid Gland in Head and Neck Radiotherapy", AAPM'19 (Designation: Oral Presentation).

J. Wei, A. Mowshowitz, "Laser Doppler Vibrometer with Aritificial Intelligence: A Valuable Tool in the Fight Against Crime and Terrorism", Police Chief, Sept. 2019. Police Chief

Epstein, S. L. and R. Korpan 2019. Planning and Communication with a Learned Spatial Model. In Proceedings of 14th International Conference on Spatial Information Theory (COSIT 2019).

“Error detection in sequential laser sensor input”, G. Gatto, O. Hadjiliadis, Proceedings of the 18th conference on Applied Stochastic models and data analysis, June 11-14, Florence, Italy, 2019.

Qi Zhao, Zheng Peng and Xiaoyan Hong, A Named Data Networking Architecture Implementation to Internet of Underwater Things, in The Fourteenth ACM International Conference on Underwater Networks and Systems (WUWNet 2019), Atlanta, GA, USA, 2019. DOI link

Yun Ye, Zheng Peng, Arun Raj Kumar P, Vasudevan A R and Xiaoyan Hong, Active Jamming for Eavesdropping Prevention in Underwater Wireless Networks, in The Fourteenth ACM International Conference on Underwater Networks and Systems (WUWNet 2019), Atlanta, GA, USA, 2019.

Dmitrii Dugaev and Zheng Peng, RA-MAC: A Relay Assisted MAC Protocol for Energy-efficient Underwater Wireless Sensor Networks, in The Fourteenth ACM International Conference on Underwater Networks and Systems (WUWNet 2019), Atlanta, GA, USA, 2019.

Danyang Zhang, Huadong Ma and Linqiang Pan, “A Gamma-signal-regulated Connected Components Labeling Algorithm”, Pattern Recognition, vol. 91, 2019, pp. 281-290. DOI link

Soumi Maiti and Michael I Mandel. Parametric resynthesis with neural vocoders. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019.

Soumi Maiti and Michael I Mandel. Speech denoising by parametric resynthesis. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 6995--6999, 2019 DOI link

Michael I Mandel, Vikas Grover, Mengxuan Zhao, Jiyoung Choi, and Valerie Shafer. The bubble-noise technique for speech perception research. Perspectives of the ASHA Special Interest Groups, 2019. to appear.

Berk, E.A., & Filatova, E. (2019). Incendiary News Detection. FLAIRS Conference.

Di Crescenzo, G., Khodjaeva, M., Kahrobaei, D., & Shpilrain, V. (2019). Delegating a Product of Group Exponentiations with Application to Signature Schemes.

Flores, Ramón, Delaram Kahrobaei, and Thomas Koberda. "Algorithmic problems in right-angled artin groups: complexity and applications." Journal of Algebra 519 (2019): 111-129. DOI link

Kahrobaei, Delaram, and Keivan Mallahi-Karai. "Some applications of arithmetic groups in cryptography." Groups Complexity Cryptology 11.1 (2019): 25-33. DOI link

Wood, A., Shpilrain, V., Najarian, K., & Kahrobaei, D. (2019). Private naive bayes classification of personal biomedical data: Application in cancer data analysis. Computers in biology and medicine, 105, 144-150. DOI link

Gryak, J., Kahrobaei, D., & Martinez-Perez, C. (2019). On the conjugacy problem in certain metabelian groups. Glasgow Mathematical Journal, 61(2), 251-269. DOI link

X. Rong, C. Yi, and Y. Tian, Unambiguous Scene Text Segmentation with Referring Expression Comprehension, IEEE Transactions on Image Processing, Vol. 29, Issue: 1, Page(s): 591-601, Dec. 2020. DOI:10.1109/TIP.2019.2930176

L. Jing*, Y. Chen*, and Y. Tian (* indicates equal contributions), Coarse-to-fine Semantic Segmentation from Image-level Labels, IEEE Transactions on Image Processing, Vol. 29, Issue: 1, Page(s): 225-236, Dec. 2020. DOI:10.1109/TIP.2019.2926748

S. Yu, T. Huang, D. Wang, B. P. Lynn, D. Sayd, V. Silivanov, Y. S. Park, Y. Tian, and H. Su, Design and Control of a High-Torque and Highly-Backdrivable Hybrid Soft Exoskeleton for Knee Injury Prevention during Squatting, IEEE Robotics and Automation Letters, Accepted, 2019. DOI: 10.1109/LRA.2019.2931427

Y. Xian and Y. Tian, Self-Guiding Multimodal LSTM - When We Do Not Have a Perfect Training Dataset for Image Captioning, IEEE Transactions on Image Processing, Volume: 28, Issue: 11, Page(s): 5241-5252, Nov. 2019. DOI: 10.1109/TIP.2019.2917229

Z. Petrou and Y. Tian, Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Issue: 9, Pages: 6865-6876, September 2019. DOI: 10.1109/TGRS.2019.2909057

B. Li, J. P. Munoz, X. Rong, Q. Chen, J. Xiao, Y. Tian, A. Arditi, and M. Yousuf, Vision-based Mobile Indoor Assistive Navigation with Obstacle Avoidance for Blind People, IEEE Transactions on Mobile Computing, Vol. 18, No. 3, Pages 702-714, March, 2019. https://doi.org/10.1109/TMC.2018.2842751

B. Planche, X. Rong, Z. Wu, S. Karanam, H. Kosch, Y. Tian, and J. Ernst, Incremental Scene Synthesis, Thirty-third Conference on Neural Information Processing Systems (NeurIPs), 2019.

O. Akin, Y. Tian, L. Jing, B. Reichman, F. Nurili, C. Duzgol, T. Ilica, and O. Aras, A Real-time Gaze Tracking System to Analyze Spatial and Temporal Attention Characteristics of Radiologists in Routine Clinical Practice, Radiological Society of North America (RSNA), 2019.

H. Wang, X. Rong, L. Yang, S. Wang, and Y. Tian, Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes, The British Machine Vision Conference (BMVC), 2019.

S. Yu, T. Huang, D. Wang, B. P. Lynn, D. Sayd, V. Silivanov, Y. S. Park, Y. Tian, and H. Su, Design and Control of a High-Torque and Highly-Backdrivable Hybrid Soft Exoskeleton for Knee Injury Prevention during Squatting, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.

J. Liu, L. Cao, O. Akin, and Y. Tian, 3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.

J. Tan*, L. Jing*, Y. Huo, O. Akin, and Y. Tian (* indicates equal contributions), LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network, Special Session on Deep Learning Methods for Medical Image Analysis, IEEE International Conference on Industrial Informatics (INDIN): Industrial Applications of Artificial Intelligence, 2019.

Y. Chen, L. Jing, E. Vahdani, L. Zhang, M. He, and Y. Tian, Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019, The Workshop AI City Challenge in conjunction with CVPR 2019.

H. Wang, X. Rong, and Y. Tian, Towards Accurate Instance-Level Text Spotting With Guided Attention, IEEE International Conference on Multimedia and Expo (ICME), 2019.

- Zhang S, Xie L* (2019) Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation. arXiv preprint arXiv:1907.02204

- Liu Q, He D, Xie L* (2019) Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature. PLoS Comp Biol, in press

- Ayed M, Lim H, Xie L* (2019) Biological representation of chemicals using latent target interaction profile. BMC Bioinformatics, in press

- Lim H., Xie L (2019) Omics Data Integration and Analysis for Systems Pharmacology. Methods Mol Biol, 1939:199-214

- Xie L, Xie L* (2019) Pathway-centric structure-based multi-target compound screening for anit-virulence drug repurposing. Int. J. Mol. Sci. 20(14):3504

- Menden MP, Wang D, Mason MJ, et al (2019) Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomics screen. Nat. Commun. 10(1):2674

- Lim H, Di H, Qiu Y, Krawczuk P, Sun X, Xie L* (2019) Rational discovery of dual-indication multi-target PDE/kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. PLoS Comp. Biol. 15(6): e1006619

- Zhao Z, Xie L, Bourne PE (2019) Structural insights into characterizing binding sites in EGFR kinase mutants. J Chem Inf Model, 59(1):453-462 Neng-Fa Zhou: In Pursuit of an Efficient SAT Encoding for the Hamiltonian Cycle Problem, The 18th workshop on Constraint Modelling and Reformulation, 1-12, 2019.

S. H. Geizhals and D. Sokol. Finding maximal 2-dimensional palindromes. Information and Computation, 266, 161-172, 2019. https://doi.org/10.1016/j.ic.2019.03.001

Zhong, W., and Gu, F. A multi-level deep learning system for malware detection, Expert Systems with Applications, Elsevier, 133: 151-162, 2019.

Zhang, X., and Gu, F. Adaptive particle sampling and resampling in parallel/distributed particle filters, HPC 2019, 2019 Spring Simulation Multi-Conference, 12: 1-12, 2019.

Zhang, X., Xiao, J., and Gu, F. Applying support vector machine to electronic health records for cancer classification, MSM 2019, 2019 Spring Simulation Multi-Conference, 2: 1-9, 2019.

S. H. Geizhals and D. Sokol. Finding maximal 2-dimensional palindromes. Information and Computation, 266, 161-172, 2019. https://doi.org/10.1016/j.ic.2019.03.001

A. Amir, G.M. Landau, S. Marcus, and D. Sokol. Two-Dimensional Maximal Repetitions, LIPIcs-Leibniz International Proceedings in Informatics 112, pages 2:1--2:14, 26th Annual European Symposium on Algorithms (ESA) 2018.

Period Recovery of Strings over the Hamming and Edit Distances. Amihood Amir, Mika Amit, Gad M Landau and Dina Sokol. Theoretical Computer Science, (710), 2-1, 2018.

F.J. Vazquez-Abad, S. Bernabel, D. Dufresne, D. Amen, T. Ward (2019), “Deep Learning for Mental Illness Detection using brain SPECT imaging”, submitted.

F.J. Vazquez-Abad, D. Dufresne, T. Flynn (2019) “Dynamic mollifiers to deal with discontinuities in machine learning”, submitted.

T. Flynn; F.J. Vazquez-Abad (2019) “A Simultaneous Perturbation Weak Derivative Estimator for Stochastic Neural Networks”, accepted for publication.

Fumio Someki, Masafumi Ohnishi, Mikael Vejdemo-Johansson, and Kazuhiko Nakamura. “Reliability, Validity, Factor Structure, and Measurement Invariance of the Japanese Conners’ Adult ADHD Rating Scales (CAARS)”. In: Journal of Psychoeducational Assessment (2019). doi: 10.1177/0734282919842030.

Mikael Vejdemo-Johansson, Justin Curry, and Julie Corrigan. “Mental Health in the Mathematics Community”. In: AMS Notices (to appear 2019).

Jesse Berwald, Marian Gidea, and Mikael Vejdemo-Johansson. “Automatic Recognition and Tagging of Topologically Different Regimes in Dynamical Systems”. In: Discontinuity, Non- linearity, and Complexity 3.4 (2015), pp. 413–426.

Dan Hirsch, Ingemar Markström, Meredith L. Patterson, Anders Sandberg, and Mikael Vejdemo-Johansson. “More Ties than We Thought”. en. In: PeerJ Computer Science 1 (May 2015), e2. issn: 2376-5992. doi: 10.7717/peerj-cs.2.

Mikael Vejdemo-Johansson, Florian T. Pokorny, Primoz Skraba, and Danica Kragic. “Co- homological Learning of Periodic Motion”. en. In: Applicable Algebra in Engineering, Communication and Computing 26.1-2 (Mar. 2015), pp. 5–26. issn: 0938-1279, 1432-0622. doi: 10.1007/s00200-015-0251-x.

"Four-coloring P6-free graphs", M. Chudnovsky, S. Spirkl and M. Zhong. In Proceedings of 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2019), 1239-1256.

"Complexity of Ck-Coloring in Hereditary Classes of Graphs", M. Chudnovsky, S. Huang, P. Rzążewski, S. Spirkl and M. Zhong. In Proceedings of 27th Annual European Symposium on Algorithms (ESA 2019).

"Approximately Coloring Graphs Without Long Induced Paths", M. Chudnovsky, O. Schaudt, S. Spirkl, M. Stein and M. Zhong. Algorithmica, 81 (2019), 3186–3199

Xiao, Y., Zeng, L., Chen, H., & Li, T. (2019). Prototyping Flow-Net Logging for Accountability Management in Linux Operating Systems. IEEE Access, 7, 131172–131187. https://doi.org/10.1109/ACCESS.2019.2937637

Chen, H., Damevski, K., Shepherd, D., & Kraft, N. A. (2019). Modeling hierarchical usage context for software exceptions based on interaction data. Automated Software Engineering, 1–24. https://doi.org/10.1007/s10515-019-00265-3

Chen, H., Coogle, J., & Damevski, K. (2019). Modeling Stack Overflow tags and topics as a hierarchy of concepts. Journal of Systems and Software, 156, 283–299. https://doi.org/https://doi.org/10.1016/j.jss.2019.07.033

Chen, H., Ciborowska, A., & Damevski, K. (2019). Using Automated Prompts for Student Reflection on Computer Security Concepts. In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (pp. 506–512). New York, NY, USA: ACM. https://doi.org/10.1145/3304221.3319731

A.Satyanarayana, R.Lansiquot, C.Rosalia. “Using Prescriptive Data Analytics to Reduce Grading Bias and Foster Student Success”, 49th IEEE Annual Frontiers in Education (FIE ’19), Cincinnati, OH, Oct 16th – Oct 19th, 2019.

A.Satyanarayana, K.Goodlad, J.Sears, P.Kreniske, M.Diaz and S.Cheng, “Using Natural Language Processing Tools on Individual Stories from First Year Students to Summarize Emotions, Sentiments and Concerns of Transition from High School to College”, 126th ASEE Annual Conference 2019, Tampa, FL, June 15th – June 19th 2019.

A.Satyanarayana, and L.Baron, “A Peer based Tutoring and Mentoring Model for First Year Computer Science Courses Based on Strategies Used by Songbirds for Learning”, 50th ACM Special Interest Group on Computer Science Education (SIGCSE ’19), February 27– March 2nd, 2019, Minneapolis, Minnesota, USA.

G. Di Crescenzo, M. Khodjaeva, D. Kahrobaei, V. Shpilrain, Delegating a Product of Group Exponentiations with Application to Signature Schemes, Number-Theoretic Methods in Cryptology 2019 (NuTMiC 2019), June 24-27 2019, Paris, France

G. Di Crescenzo, M. Khodjaeva, D. Kahrobaei, V. Shpilrain, Secure Delegation to a Single Malicious Server: Exponentiation in RSA-type Groups, in: 5th IEEE Workshop on Security and Privacy in the Cloud, pages 1-9, Washington DC, SPC, June 10-12, 2019.

M. Khodjaeva, M. Obaidat, D. Salane, Mitigating Threats and Vulnerabilities of RFID in IoT through Secure Delegation of Exponentiation to a Single Malicious Server, the book chapter, the book name: Security, Privacy and Trust in the IoT Environment, Springer 2019.

Mehdi Bagherzadeh and Raffi Khatchadourian. Going big: A large-scale study on what big data developers ask. In Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019, pages 432–442, New York, NY, USA, August 2019. ACM, ACM. (74/303; 24.4% acceptance rate).

Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, and Syed Ahmed. Safe automated refactoring for intelligent parallelization of Java 8 streams. Technical Report 544, City University of New York (CUNY) Hunter College, 695 Park Ave, New York, NY 10065 United States, July 2019.

Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, and Syed Ahmed. Safe automated refactoring for intelligent parallelization of Java 8 streams. In International Conference on Software Engineering, ICSE ’19, pages 619–630, Piscataway, NJ, USA, May 2019. ACM/IEEE, IEEE Press. (109/529; 20.6% acceptance rate).

Greg Olmschenk, Zhigang Zhu, and Hao Tang. Generalizing semi-supervised generative adversarial networks to regression using feature contrasting. Computer Vision and Image Understanding, vol 186, Elsevier, September 2019 (https://doi.org/10.1016/j.cviu.2019.06.004)

Jie Wei, Chi-Him Liu, Zhigang Zhu, Lindsay R. Cain, Vincent J. Velten. Vehicle Engine Classification Using Normalized Tone-Pitch Indexing and Neural Computing on Short Remote Vibration Sensing Data. Expert Systems With Applications (ESWA), Elsevier, Vol 115, Jan 2019, pp 276-286

J. Venerella, L. Sherpa, T. Franklin, H. Tang and Z. Zhu. Integrating AR and VR for Mobile Remote Collaboration. The 18th IEEE Int. Symposium on Mixed and Augmented Reality(ISMAR 2019), Beijing (China), on October 14-18, 2019

L. Chen, Y. Zou, Y. Chang, J. Liu, B. Lin and Z. Zhu, Multi-level scene modeling and matching for smartphone-based indoor localization. The 18th IEEE Int. Symposium on Mixed and Augmented Reality (ISMAR 2019), Beijing (China), on October 14-18, 2019

Ling Zhang and Zhigang Zhu, Unsupervised Feature Learning for Point Cloud Understanding by Contrasting and Clustering Using Graph Convolutional Neural Networks, International Conference on 3D Vision (3DV), September 16-19, 2019.

Greg Olmschenk, Zhigang Zhu, and Hao Tang. “Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling”. In:(Conference unlisted for blinding). 2019, Submitted.

Ling Zhang, Zhigang Zhu, Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering with Graph Convolutional Neural Network, CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics, June 16-20, 2019

Greg Olmschenk, Jin Chen, Hao Tang, Zhigang Zhu. Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. IEEE Conference on Computer Vision and Pattern Recognition: Learning with Imperfect Data Workshop, pp 21-28, June 2019

E. B. Çoban, E. Filatova, Incendiary News Detection, 2019. In the Proceedings of the 32nd International FLAIRS Conference, FLAIRS-32, Sarasota, FL.

Hasan, M.R., Raja, A. & Bazzan, A., “A Context-aware Convention Framework for Large-Scale Networks” in Autonomous Agents and Multi-Agent Systems. 33(1): pp 1-34, DOI link: https://link.springer.com/article/10.1007%2Fs10458-018-9397-9

C. Chum, X. Wei, and X. Zhang. A split Bloom filter for better performance. J. of Applied Security Research (Routledge), 2019, pp.1-14. DOI: 10.1080/19361610.2019.1613090. Published online 03 Oct 2019.

G. Zhao and X. Zhang. Re-ranking web data per knowledge domain. Int. J. of Service and Knowledge Management, 3(1), 2019, pp. 66-84.

Mehmet Bicer and Xiaowen Zhang. An efficient, hybrid, double-hash string-matching algorithm. Proc. of the 15th IEEE Long Island Systems, Applications and Technology Conf. (LISAT 2019), Farmingdale, NY, May 3, 2019, pp. 1-5.

A. Ovchinnikov, G. Pogudin, and P.Thompson, Input-output equations and identifiability of linear ODE models, arXiv:1910.03960

W. Li, A. Ovchinnikov, G. Pogudin, and T. Scanlon, Elimination of unknowns for systems of algebraic differential-difference equations, arXiv:1812.11390

A. Ovchinnikov, G. Pogudin, and N.T. Vo, Bounds for elimination of unknowns in systems of differential-algebraic equations, arXiv:1610.04022.

H. Hong, A. Ovchinnikov, G. Pogudin, and C. Yap, Global identifiability of differential models, arXiv:1801.08112.

A. Ovchinnikov, G. Pogudin, and T. Scanlon, Effective difference elimination and Nullstellensatz, accepted for publication in the Journal of the European Mathematical Society, arXiv:1712.01412.

J. Nagloo, A. Ovchinnikov, and P. Thompson, Commuting planar polynomial vector fields for conservative Newton systems, accepted for publication in Communication in Contemporary Mathematics, arXiv:1802.00831, doi:10.1142/S0219199719500251.

A. Minchenko and A. Ovchinnikov, Triviality of differential Galois cohomologies of linear differential algebraic groups, Communications in Algebra 47 (12) (2019), 5094-5100.

H. Hong, A. Ovchinnikov, G. Pogudin, and C. Yap, SIAN: software for structural identifiability analysis of ODE models, Bioinformatics 35 (16) (2019), 2873–2874.

Inthiam, J., Mowshowitz, A., and Hayashi, E. Mood perception model for social robot based on facial and bodily expression using a hidden Markov model, Journal of Robotics and Mechatronics 31 (4), 2019, pp. 629-638.

Ghorbani , M., Dehmer, M., Mowshowitz, A., Tao, J., and Emmert-Streib, F. The Hosoya entropy of graphs revisited, Symmetry 2019 11(1013), 2019; doi:10.3390/sym11081013.

Dehmer, M., Chen, Z, Shi, Y., Zhang, Y., Tripathi, S., Ghorbani, M., Mowshowitz, A, and Emmert-Streib, F., On efficient network similarity measures, Applied Mathematics and Computation 362, 1 December 2019, Article 124521.

Ghorbani, M., Dehmer, M., Rajabi-Parsa, M., Mowshowitz, A., and Emmert-Streib, F., On properties of distance-based entropies on fullerene graphs, Entropy 21, 482, 2019, pp. 1-18; doi:10.3390/e21050482

Ghorbani, M., Dehmer, M., Rajabi-Parsa, M., Emmert-Streib, F., and Mowshowitz, A. Hosoya entropy of fullerene graphs, Applied Mathematics and Computation 352 ,2019, pp. 88–98.

Dehmer, M., Tripathi, S., Chen, Z., Emmert-Streib, F., Mowshowitz, A., Shi, Y., and Zhang, Y..Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach, Information Sciences 471, January 2019, pp. 19-28.

Inthiam, J., Hayashi, E., Jitviriya, W., and Mowshowitz, A. Mood estimation for human-robot interaction based on facial and bodily expression using a Hidden Markov Model, IEEE/SICE International Symposium on System Integration (SII 2019), January 14-16, 2019, Sorbonne Université, Paris, France.

J. Wei, M. Chao, "A constrained linear regression optimization algorithm for diaphragm motion tracking with cone beam CT projections", Physica Medica: European Journal of Medical Physics, vol. 46, 7-15, Feb., 2018. DOI link

M. Chao, J. Wei, G. Narayanasamy, Y. Yuan, Y. Lo, J. Penagaricano, "Three-dimensional Cluster Formation and Structures in Heterogeneous Dose Distributions of Intensity Modulated Radiation Therapy", Radiotherapy and Oncology (the Green Journal), 127(2): 197-205, May, 2018. DOI link

J. Wei, L. Zhang, B.M. Fu, "Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion", Int. J. of Imaging and Graphics, 18(1): 1-22, 2018. DOI link

J. Wei, C. Liu, H. Clouse, "Spectral eigen index: military vehicle fingerprinting using eigen analysis in spectral domain", Pattern Recognition Letters, Vol. 112, 98-103, 2018. DOI link

M. Chao, J. Wei, et. al. "Dose Based Predictive Model of Normal Tissue Complication in Head and Neck Radiation Therapy", Medical Physics, 45(6), 2018.

Aroor, A., S. L. Epstein and R. Korpan 2018. Online learning for crowd-sensitive planning. In Proceedings of AAMAS-2018, Stockholm. Nominated for best robotics paper.

Korpan, R. and S. L. Epstein 2018. Toward Natural Explanations for a Robot’s Navigation Plans. In Proceedings of the Workshop on Explainable Robot Systems, HRI-2018, Chicago, IL.

Kralik, J. D., J. H. Lee, P. S. Rosenbloom, P. C. Jackson, S. L. Epstein, O. J. Romero, R. Sanz, O. Larue, H. R. Schmidtke, S. W. Lee and K. McGreggor. Metacognition for a Common Model of Cognition. Procedia Computer Science 145: 730-739. Also in Proceedings of BICA-2018. DOI link

Yuan Dong, Lina Pu, Yu Luo, Zheng Peng, Haining Mo, Yun Meng, Yi Zhao and Yuzhi Zhang, Receiver-Initiated Handshaking MAC Based on Traffic Estimation for Underwater Sensor Networks, Sensors, vol. 18, no. 11, 2018. DOI link

Li Wei, Zigeng Wang, Jun Liu, Zheng Peng and Jun-Hong Cui, Power Efficient Deployment Planning for Wireless Oceanographic Systems, IEEE Systems Journal, vol. 12, no. 1, pp. 516 -- 526, 2018. DOI link

Viet Anh Trinh, Brian McFee, and Michael I Mandel. Bubble cooperative networks for identifying important speech cues. In Proceedings of Interspeech, pages 1616--1620, 2018. DOI link

Ali Raza Syed, Viet Anh Trinh, and Michael I. Mandel. Concatenative resynthesis with improved training signals for speech enhancement. In Proceedings of Interspeech, pages 1195--1199, 2018. DOI link

Soumi Maiti, Joey Ching, and Michael I. Mandel. Large vocabulary concatenative resynthesis. In Proceedings of Interspeech, pages 1190--1194, 2018. DOI link

Michael I Mandel, Shoko Araki, and Tomohiro Nakatani. Multichannel clustering and classification approaches. In Emmanuel Vincent, Tuomas Virtanen, and Sharon Gannot, editors, Audio Source Separation and Speech Enhancement, chapter 12. Wiley, 2018. DOI link

Cabo, C., & Satyanarayana, A. (2018, February). Building a Community of First Year Students Improves Student Retention and Performance in Computing Courses. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (pp. 1084-1084). ACM. DOI link

Cabo, C., & Satyanarayana, A. (2018, October). Promoting Students’ Social Interactions Results in an Improvement in Performance, Class Attendance and Retention in First Year Computing Courses. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-8). IEEE.

Cabo, C. (2018, October). Effectiveness of Flowcharting as a Scaffolding Tool to Learn Python. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE. DOI link

Difallah, D., Filatova, E., & Ipeirotis, P. (2018, February). Demographics and dynamics of mechanical Turk workers. In Proceedings of the eleventh acm international conference on web search and data mining (pp. 135-143). ACM. DOI link

Gryak, Jonathan, Robert M. Haralick, and Delaram Kahrobaei. "Solving the Conjugacy Decision Problem via Machine Learning." Experimental Mathematics (2018): 1-13. DOI link

Y. Ye, X. Yang, and Y. Tian, Discovering Spatio-Temporal Action Tubes, Journal of Visual Communication and Image Representation, Volume 58, January 2019, Pages 515-524. DOI:10.1016/j.jvcir.2018.12.019

M. A. Halstead, S. Denman, S. Sridharan, Y. Tian, and C. Fookes, Multimodal Clothing Recognition for Semantic Search in Unconstrained Surveillance Imagery, Journal of Visual Communication and Image Representation, Volume 58, January 2019, Pages 439-452. https://doi.org/10.1016/j.jvcir.2018.12.001

Z. Petrou, Y. Xian, and Y. Tian, Towards Breaking the Spatial Resolution Barriers: An Optical Flow and Super-Resolution Approach for Sea Ice Motion Estimation, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 138, Pages 164-175, April 2018.

L. Jing, X. Yang, and Y. Tian, Video You Only Look Once: Overall Temporal Convolutions for Action Recognition, Journal of Visual Communication and Image Representation, Volume 52, Pages 58-65, April 2018. https://doi.org/10.1016/j.jvcir.2018.01.016

C. Zhang, Y. Tian, X. Guo, and J. Liu, DAAL: Deep Activation-based Attribute Learning for Action Recognition in Depth Videos, Computer Vision and Image Understanding, Volume 167, February 2018, Pages 37-49, DOI: 10.1016/j.cviu.2017.11.008.

M. Halstead, S. Denman, C. Fookes, Y. Tian and M. Nixon, Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II, 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2018.

J. Liu and Y. Tian, Recognizing Elevator Buttons and Labels for Blind Navigation, The Workshop Women in Computer Vision in conjunction with CVPR 2018.

Y. Ye, Y. Tian, M. Huenerfauth, and J. Liu, Recognizing American Sign Language Gestures from within Continuous Videos, The 8th IEEE Workshop on Analysis and Modeling of Faces and Gestures (AMFG) in conjunction with CVPR 2018.

R. Duan, S. Yu, G. Yue, R. Foulds, C. Feng, Y. Tian, H. Su, Real-Time Robust 3D Plane Extraction for Wearable Robot Perception and Control, Design of Medical Devices Conferences (DMD), Minneapolis, 2018.

S. Yu, R. Duan, H. Cui, T. Huang, C. Feng, Y. Tian, Z. Zhu, H. Su, Interaction-Safe Humanoid Robot for Augmented Reality-Assisted Telemanipulation, Waste Management Symposia on Nuclear and Industrial Robotics, Remote Systems and Other Emerging Technologies, March, 2018.

Y. Xian, Y. Wang, Y. Tian, Y. Xu, and J. Bankoski, Multi-Level Machine Learning-based Early Termination in VP9 Partition Search, Visual Information Processing and Communication Conference, IS&T International Symposium on Electronic Imaging (EI), 2018.

- Wang A, Lim H, Cheng SY, Xie L* (2018) ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer Therapy. IEEE/ACM Trans Comput Biol Bioinform. 15(6):1960-1967

- He Y, Ji J, Xie L, Zhang X, Xue F (2018) A new insight into underlying disease mechanism through semi-parametric latent differential network model. BMC Bioinformatics. 19(S17):492

- Poleksic A, Xie L* (2018) Predicting serious rare adverse reactions of novel chemicals. Bioinformatics. 34(16):2835-2842

- Lim HS, Xie L* (2018) Target Gene Prediction of Transcription Factor Using a New Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm. In Proceedings of the 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, pp1-10

- Lim HS, Poleksic A, Xie L* (2018) Exploring landscape of drug-target-pathway-side effect associations. AMIA Jt Summits Transl Sci Proc. pp132-141.

Dor Atzmon, Roni Stern, Ariel Felner, Glenn Wagner, Roman Barták, Neng-Fa Zhou: Robust Multi-Agent Path Finding. SOCS 2018: 2-9

A. Amir, G.M. Landau, S. Marcus, and D. Sokol. Two-Dimensional Maximal Repetitions, LIPIcs-Leibniz International Proceedings in Informatics 112, pages 2:1--2:14, 26th Annual European Symposium on Algorithms (ESA) 2018.

Period Recovery of Strings over the Hamming and Edit Distances. Amihood Amir, Mika Amit, Gad M Landau and Dina Sokol. Theoretical Computer Science, (710), 2-1, 2018.

Zhang, X., Mohamed, A., Nguyen, L., and Gu, F. Performance analysis of parallel/distributed particle filters, TMS/DEVS 2018, , 761-771, 2018 (TMS/DEVS best paper award).

Gu, F. On-demand data assimilation of large-scale spatial temporal systems using sequential Monte Carlo methods, Simulation Modelling Practice and Theory, Elsevier, 85:1-14, 2018.

S Bhunia, E Miles, S Sengupta and F Vazquez-Abad, “CR-Honeynet: A Cognitive Radio Learning and Decoy Based Sustenance Mechanism to Avoid Intelligent Jammer” (2018) IEEE Transactions on Cognitive Communications and Networking, Vol 4, No 3, 567 – 581.

J. Frederico Carvalho, Mikael Vejdemo-Johansson, Danica Kragic, and Florian T. Pokorny. “An Algorithm for Calculating Top-Dimensional Bounding Chains”. en. In: PeerJ Computer Science 4 (May 2018), e153. issn: 2376-5992. doi: 10.7717/peerj-cs.153.

Mikael Vejdemo-Johansson. “Algorithms in A∞-Algebras”. In: Georgian Mathematical Journal 25.4 (2018), pp. 629–635.

"Scheduling When You Don't Know the Number of Machines", C. Stein and M. Zhong. In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018), 1261-1273.

"Triangle-free graphs with no six-vertex induced path", M. Chudnovsky, P. Seymour, S. Spirkl and M. Zhong. Discrete Math, 341 (2018), 2179-2196.

"Three-coloring and list three-coloring graphs without induced paths on seven vertices", F. Bonomo, M. Chudnovsky, P. Maceli, O. Schaudt, M. Stein and M. Zhong. Combinatorica, 38 (2018) , 779-801.

Damevski, K., Chen, H., Shepherd, D. C., Kraft, N. A., & Pollock, L. (2018). Predicting Future Developer Behavior in the IDE Using Topic Models. IEEE Transactions on Software Engineering, 44(11), 1100–1111. https://doi.org/10.1109/TSE.2017.2748134

Fu, B., Xiao, Y., & Chen, H. (2018). FNF: Flow-net based fingerprinting and its applications. Computers & Security, 75, 167–181. https://doi.org/https://doi.org/10.1016/j.cose.2018.02.005

A.Satyanarayana, R.Natarajan, and L.Baron, “How Songbirds Learn to Sing Provides Suggestions for Designing Team Projects for Computing Courses”, ASEE Mid-Atlantic Section Fall 2018 Conference, October 26-27th, 2018.

C. Cabo and A.Satyanarayana, “Promoting students’ social interactions results in an improvement in performance, class attendance and retention in first year computing courses”, 48th IEEE Annual Frontiers in Education (FIE’18), San Jose, California, October 4th–6th, 2018.

A.Satyanarayana, J.Kusyk and Y-W.Chen, “Design of Cloud Based Robots using Big Data Analytics and Neuromorphic Computing”, 31st IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2018), Quebec, Canada, May 13-16th 2018.

J. Bivens, A.Satyanarayana, J. Chen, “Pros and Cons of Using Data Analytics for Predicting Academic Performance in Computer Science Courses”, 49th ACM Special Interest Group on Computer Science Education (SIGCSE ’18), February 21–24, 2018, Baltimore, MD, USA (BoF discussion).

C. Cabo and A.Satyanarayana, “Building a Community of First Year Students Improves Student Retention and Performance in Computing Courses”, 49th ACM Special Interest Group on Computer Science Education (SIGCSE ’18), February 21–24, 2018, Baltimore, MD, USA (Poster).

G. Di Crescenzo, M. Khodjaeva, D. Kahrobaei, V. Shpilrain, Efficient and Secure Delegation to a Single Malicious Server: Exponentiation over Non-Abelian Groups, in: International Congress on Mathematical Software -- ICMS 2018, Lecture Notes Comp. Sc. 10931 (2018), 137—146, July 24-27, 2018, University of Notre Dame, Indiana, USA.

Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, and Syed Ahmed. A tool for optimizing Java 8 stream software via automated refactoring. In International Working Conference on Source Code Analysis and Manipulation, SCAM ’18, pages 34–39. IEEE, IEEE Press, September 2018. Engineering Track. (9/17; 53% acceptance rate). Distinguished Paper Award.

Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, and Syed Ahmed. Towards safe refactoring for intelligent parallelization of Java 8 streams. In International Conference on Software Engineering: Companion Proceedings, ICSE ’18, pages 206–207, New York, NY, USA, May 2018. ACM/IEEE, ACM.

Raffi Khatchadourian and Hidehiko Masuhara. Proactive empirical assessment of new language feature adoption via automated refactoring: The case of Java 8 default methods. In International Conference on the Art, Science, and Engineering of Programming, volume 2 of Programming ’18, pages 6:1–6:30. AOSA, March 2018.

F. Hu, H. Tang, A. Tsema, Z. Zhu, "Computer Vision for Sight: Computer Vision Techniques to Assist Visually Impaired People to Navigate in an Indoor Environment", In COMPUTER VISION FOR ASSISTIVE HEALTHCARE, Giovanni Maria Farinella and Marco Leo (Eds.), Computer Vision and Pattern Recognition Series, Elsevier, May 2018, pp 1-49

Vishnu Nair, Manjekar Budhai, Greg Olmschenk, William H. Seiple, Zhigang Zhu, Personalized indoor navigation via multimodal sensors and high-level semantic information, Sixth International Workshop on Assistive Computer Vision and Robotics (ACVR). Munich, Germany, 9th September 2018 (Oral and Poster Presentation)

F. Abtahi, T. Ro, W. Li & Z. Zhu. Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study. IEEE Winter Conference on Application of Computer Vision (WACV), March 12-14, 2018, Lake Tahoe, NV/CA, pp 10-19

G. Olmschenk, H. Tang & Z. Zhu. Crowd Counting With Minimal Data Using Generative Adversarial Networks For Multiple Target Regression. IEEE Winter Conference on Application of Computer Vision (WACV), March 12-14, 2018, Lake Tahoe, NV/CA, pp 1151-1159

D. Difallah, E. Filatova, P. Ipeirotis, Demographics and Dynamics of Mechanical Turk Workers, 2018. In the Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), Los Angeles, CA

- Shoufu Luo, Jeremy D. Seideman, and Sven Dietrich, “Fingerprinting Cryptographic Protocols with Key Exchange using an Entropy Measure”, in Proceedings of the 12th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE 2018), 10 pp, IEEE CS Security and Privacy Workshops, San Francisco, CA, May 2018.

X. Wei, L. Geng, and X. Zhang. Web Browser Based Data Visualization Scheme for XBee Wireless Sensor Network. Trans. on Networks and Communications, 6(5), 2018, pp. 59-69.

C. Chum, B. Fine, and X. Zhang. A survey: Shamir threshold scheme and its enhancements. Infinite Group Theory - From the Past to the Future, World Scientific Publishing, February 2018, pp. 19-41. ISBN: 978-981-3204-04-1.

Christopher McMahon and Xiaowen Zhang. Modern network security practices: using rainbow tables to solve organizational issues. Proc. of the 39th IEEE Sarnoff Symposium (Sarnoff 2018), Newark, NJ, Sept 24-25, 2018, pp. 1-5.

Grace Zhao and Xiaowen Zhang. Domain-specific ontology concept extraction and hierarchy extension. Proc. of the 2nd Int. Conf. on Natural Language Processing and Information Retrieval (NLPIR 2018), Bangkok, Thailand, Sept 7-9, 2018, pp. 60-64. (ACM DL)

Brian Weber and Xiaowen Zhang. Parallel hash collision search by rho method with distinguished points. Proc. of the 14th IEEE LISAT 2018, Farmingdale, NY, May 4, 2018, pp. 1-7.

Gülüstan Doğan, T Brown, E Dagobert, M Ascazubi, J Manorge, Data Analytics Of Building Automation Systems: A Case Study, International Journal Of Intelligent Systems And Applications In Engineering, April 2018 issue, Issn:2147-6799 www.Atscience.Org/Ijisae[Atscience.Org]

R. Gustavson, A. Ovchinnikov, and G. Pogudin, New order bounds in differential elimination algorithms, Journal of Symbolic Computation 85 (2018) 128–147.

A. Minchenko and A. Ovchinnikov, Calculating Galois groups of third order linear differential equations with parameters, Communications in Contemporary Mathematics 20 (2018), 1750038 [25 pages].

Dehmer, M., Chen, Z., Mowshowitz, A., Jodlbauer, H., Emmert-Streib, F., Shi, Y., Tripathi, S., and Chengyi, X. On the degeneracy of Randić entropy and related graph measures, Information Sciences, 2018, https://doi.org/10.1016/j.ins.2018.11.011

Inthiam, J., Hayashi, E., Jitviriya, W., and Mowshowitz, A. Development of an Emotional Expression Platform based on LMA-Shape and Interactive Evolution Computation. The 4th International Conference on Control, Automation and Robotics (ICCAR 2018), Auckland, New Zealand, April 20-23, 2018.

Mowshowitz, A., Tominaga, A., and Hayashi, E. Robot navigation in forest management. Journal of Robotics and Mechatronics 30(2), 2018, pp, 223-230.

Mowshowitz, A., Mitsou, V., Bent, G. Evolving networks and their vulnerabilities. In: Dehmer, M., et al. editors, Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective, CRC Press, 2018, pp. 173-192..

Dehmer, M., Chen, Z., Emmert-Streibe, F., Shi,Y., Tripathie, S., and Mowshowitz, A. Properties of graph distance measures by means of discrete inequalities. Applied Mathematical Modeling 59, 2018, pp. 739–749.

KONG, T.Y., Critical kernels, minimal non-simple sets, and hereditarily simple sets in binary images on n-dimensional polytopal complexes, in: P.K. Saha, G. Borgefors, and G. Sanniti di Baja, Eds., Skeletonization: Theory, Methods, and Applications, Academic Press, London, 2017, pp. 211 – 256. DOI link

G. Li, J. Wei, M. Kadbi, et. al., "A novel super-resolution approach to time-resolved volumetric 4DMRI with high spatiotemporal resolution for multi-breathing cycle motion assessment", International Journal of Radiation Oncology, Biology, Physics (the Red Journal), 98(2): 454-462, 2017. DOI link

G. Li, J. Wei, D. Olek, M. Kadbi, N. Tyagi, K. Zakian, J. Mechalakos, J. Deasy, M. Hunt, "Direct comparison of respiration-correlated four-dimensional magnetic resonance imaging (4DMRI) reconstructed based on concurrent internal navigator and external bellows", International Journal of Radiation Oncology, Biology, Physics (the Red Journal), 97(3): 596-605, 2017. DOI link

M. Chao, J. Wei, Y. Yuan, G. Narayanasamy, Y. Lo, J. Penagaricano, "Examination of Dose Volume Effects of Intensity Modulated Radiation Therapy (IMRT) Planning: Toward Biologically Conformal Optimization", Medical Physics, 44(6), 2017.

M. Chao, Y. Yuan, J. Wei, Y. Lo, "Robust Tumor Identification by Convolutional-Deconvolutional Neural Networks for Motion Tracking On Thoracic Cone Beam CT Projections", Medical Physics, 44(6), 2017.

Aroor, A. and S. L. Epstein 2017. Toward Crowd-Sensitive Path Planning. In Proceedings of AAAI Fall Symposium on Human-Agent Groups: Studies, Algorithms, and Challenges, Arlington, VA, AAAI.

Aroor, A., S. L. Epstein and R. Korpan 2017. MengeROS: A Crowd Simulation Tool for Autonomous Robot Navigation. In Proceedings of AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, Arlington, VA, AAAI.

Epstein, S. L. 2017. Navigation, Cognitive Spatial Models, and the Mind. In Proceedings of AAAI Fall Symposium on A Standard Model of the Mind, Arlington, VA, AAAI.

Korpan, R., S. L. Epstein, A. Aroor and G. Dekel 2017. WHY: Natural Explanations from a Robot Navigator. In Proceedings of AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration, Arlington, VA.

“Quickest Detection In The Wiener Disorder Problem With Post-Change Uncertainty,” H. Yang, O. Hadjiliadis and M. Ludkovski, Stochastics, issue 3–4, vol. 89, pp. 654–685 (2017) DOI link

“Data Driven Stochastic Approximation for Change Detection,” T. Flynn, O. Hadjiliadis, I. Stamos and F.J.Vasquez-Abad, Proceedings of the Winter Simulation Conference, December 3–6, Las Vegas, NV, 2017. DOI link

Robert Martin, Sanguthevar Rajasekaran and Zheng Peng, Aqua-Sim Next Generation: An NS-3 Based Underwater Sensor Network Simulator, in 12th ACM International Conference on Underwater Networks and Systems (WUWNet), Halifax, Canada, 2017. DOI link

Yu Luo, Lina Pu, Zheng Peng and Jun-Hong Cui, Receiver-Initiated Spectrum Management for Underwater Cognitive Acoustic Network, IEEE Transactions on Mobile Computing, vol. 16, no. 1, pp. 198-212, 2017. DOI link

Yunfei Tan, Di Zhang, Fei Xu and Danyang Zhang*, “Motion Deblurring Based on Convolutional Neural Network”, in the proceedings of 12th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2017), pp. 623-635, 2017. DOI link

Sy, Bon K., “SEM Approach for TPB: Application to Digital Health Software and Self-Health Management,” 2017 International Symposium on Health Informatics and Biomedical Systems, Las Vegas, Dec 14 – 16, 2017. DOI link

Soumi Maiti and Michael I Mandel. Concatenative resynthesis using twin networks. In Proceedings of Interspeech, pages 3647--3651, 2017. DOI link

Ali Syed, Andrew Rosenberg, and Michael I Mandel. Active learning for low-resource speech recognition: Impact of selection size and language modeling data. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017. DOI link

Johanna Devaney and Michael I Mandel. An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017. DOI link

Michael I Mandel and Jon P Barker. Multichannel spatial clustering using model-based source separation. In Shinji Watanabe, Marc Delcroix, Florian Metze, and John R. Hershey, editors, New Era for Robust Speech Recognition: Exploiting, Deep Learning, chapter 3. Springer, 2017. DOI link

Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, and Dong Yu. Discriminative beamforming with phase-aware neural networks for speech enhancement and recognition. In Shinji Watanabe, Marc Delcroix, Florian Metze, and John R. Hershey, editors, New Era for Robust Speech Recognition: Exploiting, Deep Learning, chapter 4. Springer, 2017. DOI link

Yanofsky, Noson S. "Theoretical Computer Science for the Working Category Theorist." arXiv preprint arXiv:1710.03090 (2017). arXiv

Akiba, Tomoyosi, Bon Sy, and Ayman Zeidan. "ICD-10 code retrieval based on distributional semantics of diagnosis descriptions." 2017 International Conference on Advanced Informatics, Concepts, Theory, and Applications (ICAICTA). IEEE, 2017. DOI link

Method for enhancing patient compliance with a medical therapy plan and mobile device therefor, Patent pending, Serial No. 62/565,812; Inventor: Bon K. Sy; Priority date: Sept 29, 2017.​ Google Patents

Toce, A., Mowshowitz, A., Kawaguchi, A., Stone, P., Dantressangle, P., & Bent, G. (2017). An efficient hypercube labeling schema for dynamic Peer-to-Peer networks. Journal of Parallel and Distributed Computing, 102, 186-198. DOI link

Platkiewicz, J., Stark, E., & Amarasingham, A. (2017). Spike-centered jitter can mistake temporal structure. Neural computation, 29(3), 783-803. DOI link

Filatova, E. (2017, May). Sarcasm detection using sentiment flow shifts. In The Thirtieth International Flairs Conference. Semantic Scholar

Y. Xian, Z. Petrou, Y. Tian, and W. Meier, Super-Resolved Fine Scale Sea Ice Motion Tracking, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55 , Issue 10, 2017.

X. Yang and Y. Tian, Super Normal Vector for Human Activity Recognition with Depth Cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 5, pp. 1028-1039, May 2017.

Z. Petrou and Y. Tian, High Resolution Sea Ice Motion Estimation With Optical Flow Using Satellite Spectroradiometer Data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 3, March 2017.

Y. Xian, X. Rong, X. Yang, and Y. Tian, Evaluation of Low-Level Features for Real-World Surveillance Event Detection, IEEE Transactions on Circuits and Systems for Video Technology, pp. 624-634, Vol. 27, No. 3, March 2017.

L. Jing, Y. Ye, X. Yang, and Y. Tian, 3D Convolutional Neural Network with Multi-Model Framework for Action Recognition, IEEE International Conference on Image Processing (ICIP), 2017.

J. Liu and Y. Tian, Recognizing Elevator Buttons and Labels for Blind Navigation, IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER), 2017.

J. P. Mũnoz, B. Li, X. Rong, J. Xiao, Y. Tian, and A. Arditi, An Assistive Indoor Navigation System for the Visually Impaired in Multi-Floor Environments, IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER), 2017 (Best Paper Award.)

R. Acharya, C. Zhang, and Y. Tian, Learning Alphabets and Numbers from Hand Motion Trajectories for Visually Impaired Children, IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER), 2017.

W. Fernandez*, Y. Xian*, and Y. Tian (* indicates equal contribution), Image-Based Barcode Detection and Recognition to Assist Visually Impaired Persons, IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER), 2017.

Z. Petrou and Y. Tian, Prediction of Sea Ice Motion with Recurrent Neural Networks, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

Z. Petrou, Y. Xian, and Y. Tian, Increasing Spatial Resolution of Sea Ice Motion Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

X. Rong, C. Yi and Y. Tian, Unambiguous Text Localization and Retrieval for Cluttered Scenes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

- Poleksic A, Turner C, Dalal R, Gray P, Xie L* (2017) Mining FDA resources to compute population-specific frequencies of adverse drug reactions. IEEE International Conference on Bioinformatics and Biomedicine 2017 (BIBM2017), pp1809-1814

- Liu Q, Chen C, Gao A, Tong HH, Xie L* (2017) VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in Genome-Wide Association Studies: applied to Alzheimer’s Disease. IEEE International Conference on Bioinformatics and Biomedicine 2017 (BIBM2017), pp2177-2182

- Ni ZH, Yuksel AC, Ni XY, Mandel MI, L. Xie L* (2017) Confused or not Confused? Disentangling Brain Activity from EEG Data Using Bidirectional LSTM Recurrent Neural Networks. In Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, pp241-246

- Zhao Z, Liu Q, Bliven S, Xie L*, Bourne PE (2017) Determining cysteines available for covalent inhibition across the human kinome. J Med Chem. 60 (7):2879

- Ji JD, He D, Feng Y, He Y, Xue F, Xie L* (2017) JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinformatics. 33(19):3080-3087 - Zhao Z, Xie L*, Bourne PE (2017) Insights into the binding mode of MEK type-III inhibitors. A step towards discovering and designing allosteric kinase inhibitors across the human kinome. PLoS One. 12(6):e0179936

- Chen C, Tong HH, Xie L, Ying L, He Q. (2017) Cross-Dependency Inference in Multi-layered Networks: A Collaborative Filtering Perspective. ACM Trans Knowl Discov Data, 11(4):42

- Zhao Z, Liu Q, Bliven S, Xie L*, Bourne PE (2017) Determining cysteines available for covalent inhibition across the human kinome. J Med Chem, 60(7):2879-288

- Xie L*, Draizen EJ, Bourne PE (2017) Harnessing big data for systems pharmacology. Annu Rev Pharmacol Toxicol. 57:245-262

Roman Barták, Lukás Chrpa, Agostino Dovier, Jindrich Vodrázka, Neng-Fa Zhou: Modeling and solving planning problems in tabled logic programming: Experience from the Cave Diving domain. Sci. Comput. Program. 147: 54-77 (2017)

Neng-Fa Zhou, Håkan Kjellerstrand: Optimizing SAT Encodings for Arithmetic Constraints. CP 2017: 671-686

Neng-Fa Zhou, Roman Barták: Efficient Declarative Solutions in Picat for Optimal Multi-Agent Pathfinding. ICLP (Technical Communications) 2017: 11:1-11:2

Roman Barták, Neng-Fa Zhou, Roni Stern, Eli Boyarski, Pavel Surynek: Modeling and Solving the Multi-agent Pathfinding Problem in Picat. ICTAI 2017: 959-966

Neng-Fa Zhou, Jonathan Fruhman: Canonicalizing High-Level Constructs in Picat. PADL 2017: 19-33

M. Amit, M. Crochemore, G.M. Landau, D. Sokol. Locating maximal approximate runs in a string. Theoretical Computer Science, 700, pages 45-62, 2017.

2D Lyndon words and applications. (R) S Marcus, D Sokol - Algorithmica, (1), 116-133, 2017.

D'Alotto, L., Finite and Infinite Computations and a Classification of Two-Dimensional Cellular Automata Using Infinite Computations, Parallel Computing Technologies, LNCS 10421, Ed. Malyshkin, V., Springer, (2017), pp. 183 - 195

D'Alotto, L., Sergeyev, Y., D., Cellular Automata and Grossone Computations, Information and Complexity, Eds. Burgin, M. and Calude, C. S., World Scientific Series in Information Studies Vol. 6, World Scientific, (2017), Ch 13, pp. 316 - 337.

Dai, M., He, W., Tian, X., Giraldi, A.M., and Gu, F. Working with communities on social media: varieties in the use of Facebook and Twitter by local police, Online Information Review, Emerald Publishing, 41(6): 782-796, 2017. (Outstanding Paper in the 2018 Emerald Literati Awards)

Yu, N., Yu, Z., Gu, F., and Pan, Y. Evaluating the impact of encoding schemes on deep auto-encoders for DNA annotation, 13th International Symposium on Bioinformatics Research and Applications (ISBRA 2017), 390-395, 2017.

Zhang, X., Huang, L., Ferguson-Hull, E., and Gu, F. Adaptive particle routing in parallel/distributed particle filter, HPC 2017, 2017 Spring Simulation Multi-Conference, 580-589, 2017.

Liao, S., Xiao, J., Xie, Y., and Gu, F. Towards use of electronic health records: cancer classification, MSM 2017, 2017 Spring Simulation Multi-Conference, 845-854, 2017.

Yu, N., Yu, Z, Gu, F., Li, T., Tian, X., and Pan, Y. Deep learning in genomic and medical image data analysis: challenges and approaches, Journal of Information Processing Systems, 13(2): 204-214, KIPS, 2017.

Gu, F. Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation, SIMULATION: Transactions of The Society for Modeling and Simulation International, 93(4): 343-360, SAGE Publishing, 2017.

M. Amit, M. Crochemore, G.M. Landau, D. Sokol. Locating maximal approximate runs in a string. Theoretical Computer Science, 700, pages 45-62, 2017.

2D Lyndon words and applications. (R) S Marcus, D Sokol - Algorithmica, (1), 116-133, 2017.

D'Alotto, L., Finite and Infinite Computations and a Classification of Two-Dimensional Cellular Automata Using Infinite Computations, Parallel Computing Technologies, LNCS 10421, Ed. Malyshkin, V., Springer, (2017), pp. 183 - 195

D'Alotto, L., Sergeyev, Y., D., Cellular Automata and Grossone Computations, Information and Complexity, Eds. Burgin, M. and Calude, C. S., World Scientific Series in Information Studies Vol. 6, World Scientific, (2017), Ch 13, pp. 316 - 337.

S Mneimneh, S Bhunia, F Vazquez-Abad and S Sengupta (2017) A Game-Theoretic and Stochastic Survivability Mechanism against Induced Attacks in Cognitive Radio Networks, Elsevier Pervasive and Mobile Computing, Volume 40, Pages 577-592.

"4-coloring P6-free graphs with no induced 5-cycles", M. Chudnovsky, P. Maceli, J. Stacho and M. Zhong. Journal of Graph Theory, 84 (2017), 262-285.

Zeng, L., Chen, H., & Xiao, Y. (2017). Accountable Administration in Operating Systems. International Journal of Information and Computer Security, 9, 157–179. https://doi.org/10.1504/IJICS.2017.10005900

Fu, B., Xiao, Y., & Chen, H. (2017). FNF: Flow-net Based Fingerprinting. In Proceedings of the ACM Turing 50th Celebration Conference - China (pp. 31:1–31:5). New York, NY, USA: ACM. https://doi.org/10.1145/3063955.3063986

G. Di Crescenzo, M. Khodjaeva, D. Kahrobaei, V. Shpilrain, Computing Multiple Exponentiations in Discrete Log and RSA Groups: From Batch Verification to Batch Delegation, in: Communications and Network Security (CNS), 2017 IEEE Conference on, 531—539.

G. Di Crescenzo, M. Khodjaeva, D. Kahrobaei, V. Shpilrain, Practical and Secure Delegation of Exponentiations over Discrete-Log Groups to a Single Malicious Server, 9th ACM Cloud Computing Security Workshop (CCSW 2017).

M. Khodjaeva, Secure Delegation of Exponentiations from Client to Single Malicious Server, (PhD thesis), The Graduate Center, CUNY, NY (2017).

Raffi Khatchadourian. Automated refactoring of legacy Java software to enumerated types. Automated Software Engineering, 24(4):757–787, December 2017.

Raffi Khatchadourian, Awais Rashid, Hidehiko Masuhara, and Takuya Watanabe. Detecting broken pointcuts using structural commonality and degree of interest. Science of Computer Programming, 150:56–74, December 2017.

Raffi Khatchadourian and Hidehiko Masuhara. Defaultification refactoring: A tool for automatically converting Java methods to default. In International Conference on Automated Software Engineering, ASE ’17, pages 984–989, Piscataway, NJ, USA, October 2017. ACM/IEEE, IEEE Press. (20/32; 63% acceptance rate).

Raffi Khatchadourian and Hidehiko Masuhara. Automated refactoring of legacy Java software to default methods. In International Conference on Software Engineering, ICSE ’17, pages 82–93, Piscataway, NJ, USA, May 2017. ACM/IEEE, IEEE Press. (68/398; 17% acceptance rate).

E. Molina, W. L. Khoo, H. Tang and Z. Zhu (2017). Video Image Registration. In Theory and Applications of Image Registration, First Edition. Arthur A Goshtasby. © 2017 John Wiley & Sons, Inc., August, 21, 2017

F. Hu, Z. Zhu, J. Mejia, H. Tang and J. Zhang. Real-time indoor assistive localization with mobile omnidirectional vision and cloud GPU acceleration, AIMS Electronics and Electronic Engineering, December, 2017, 1(1), 74-99.

Tang, H., Amuneke, T., Zou, H., Zhu, Z. Indoor Map Learning for the Visually Impaired, Journal on Technology and Persons with Disabilities, V5. June 2017

J. Gong, C. Feeley, H. Tang, G. Olmschenk, V. Nair, Z. Zhou, Y. Yu, K. Yamamoto, and Z. Zhu. Building Smart and Accessible Transportation Hubs with Internet of Things, Big Data Analytics, and Affective Computing. 2017 International Conference of Sustainable Infrastructure, October 22-25, 2017

G. Olmschenk, H. Tang and Z. Zhu. Pitch and Roll Camera Orientation From a Single 2D Image Using Convolutional Neural Networks. Proceedings of the 14th Conference on Computer and Robot Vision, Edmonton, Alberta, May 17-19, 2017.

Q. Chen, M. Khan, C. Tsangouri, C. Yang, B. Li, J. Xiao and Z. Zhu, CCNY Smart Cane, IEEE-CYBER 2017-The 7th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems, July 31 – August 4, 2017, Hawaii, USA

W. Li, F. Abtahi, Z. Zhu. Action Unit Detection with Region Adaptation, Multi­labeling Learning and Optimal Temporal Fusing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), July 21­26, 2017, Honolulu, Hawaii, USA

W. Li, F. Abtahi, Z. Zhu, L. Yin. EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection. The 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), May 30 –June 3, 2017 in Washington, DC.

Z. Zhu and J. Xiao, CCNY Joint Senior Design Program in Assistive Technology Across the Department Boundaries. The 2017 IEEE Integrated STEM Education Conference (ISEC’17), March 11, 2017, Princeton, New Jersey

C. Tsangouri, W. Li, Z. Zhu, F. Abtahi and T. Ro, An Interactive Facial-Expression Training Platform for Individuals with Autism Spectrum Disorder, 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), November 4-6, 2016 at MIT, Cambridge USA (in the top 6 nominations for Best Paper Award from the reviewers, CT’s oral presentation was voted Best Presentation in the machine learning/cloud computing track from the audience. WL and FA: PhD student mentors; ZZ and TR: faculty advisors).

J. Gong, C. Feeley, H. Tang, G. Olmschenk, V. Nair, Y. Yu, Z. Zhou, K. Yamamoto, and Z. Zhu. Building Smart Transportation Hubs with Internet of Things to Improve Services to People with Special Needs. Transportation Research Board (TRB) 96th Annual Meeting, January 8-12, 2017

E. Filatova, Sarcasm Detection using Sentiment Flow Shifts, 2017. In the Proceedings of the 30th International FLAIRS Conference, FLAIRS-30, Marco Island, FL.

- Marc C. Dacier, Hartmut Koenig, Radoslaw Cwalinski, Frank Kargl, and Sven Dietrich, “Security Challenges and Opportunities of Software-Defined Networking”, IEEE Security & Privacy 15(2), DOI:10.1109/MSP.2017.46, pp. 96–100, March/April 2017.

- Patrick Duessel, Christian Gehl, Ulrich Flegel, Sven Dietrich, and Michael Meier“, Detecting Zero-Day Attacks Using Context-Aware Anomaly Detection at the Application Layer”, International Journal of Information Security 16(5), Springer Verlag, (first online, July 2016, pp. 1–16), DOI:10.1007/s10207-016-0344-y, pp. 475-490, October 2017. - Sven Dietrich, "Cybersecurity and the Future", pp. 7-7, vol. 50, DOI:10.1109/MC.2017.114, April 2017.

X. Wei, L. Geng, and X. Zhang. An open source data visualization system for wireless sensor network. J. of Computer Science and Information Technology, 5(2), 2017, pp. 10-17.

Grace Zhao and Xiaowen Zhang. A domain-specific web document re-ranking algorithm. Proc. of the 6th IIAI International Congress on Advanced Applied Informatics, Hamamatsu, Japan, July 9-13, 2017, pp. 385-390. (IEEE Xplore)

Melisa Cantu, Joon Kim, and Xiaowen Zhang. Finding hash collisions using MPI on HPC clusters. Proc. of the 13th IEEE LISAT 2017, Farmingdale, NY, May 5, 2017, pp. 1-6.

M. Chan and X. Zhang. Reader leveled RFID localization approaches and their simulation. Proc. of the 13th IEEE LISAT 2017, Farmingdale, NY, May 5, 2017, pp. 1-6.

Vincent Chiriaco, Aubrey Franzen, Rebecca Thayil, and Xiaowen Zhang. Finding partial hash collisions by brute force parallel programming. Proc. of the 13th IEEE LISAT 2017, Farmingdale, NY, May 5, 2017, pp. 1-6.

C. Chum and X. Zhang. A new Bloom filter structure for searchable encryption schemes. Proc. of the 7th ACM Conference on Data and Application Security and Privacy (CODASPY 2017), Scottsdale, Arizona, March 22-24, 2017, pp. 143-145.

D. Pir, T. Brown, J.Krajewski (2017): “Driver sleepiness detection using wrapper-based acoustic between-groups, within-groups, and individual feature selection”, In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, April 22-24, 2017, Porto, Portugal, pp. 196-202. http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006294501960202[scitepress.org]

Dogan, G., Brown, T. (Dec 20-Dec 22 2017) Uncertainty Modeling in Wireless Sensor Networks, International Conference on Big Data and Internet of Things (BDIOT2017) 2017, London, UK https://dl.acm.org/citation.cfm?id=3175684[dl.acm.org]

C. Hardouin, A. Minchenko, and A. Ovchinnikov, Calculating Galois groups of differential equations with parameters and hypertranscendence, Mathematische Annalen 368 (1) (2017) 587–632.

A. Ovchinnikov and M. Wibmer, Tannakian categories with semigroup actions, Canadian Journal of Mathematics 69 (3) (2017) 687–720.

Toce, A., Mowshowitz, A., Kawaguchi, A., Stone, P., Dantressangle, P., and Bent, G. An efficient hypercube labeling scheme for dynamic Peer-to-Peer networks. J. Parallel Distrib. Comput. 102, 2017, pp. 186-198.

Mowshowitz, A. and Dehmer, M. A calculus for measuring the elegance of abstract graphs. Applied Mathematics and Computation 320, 2017, pp. 142–148

Chen, Z., Dehmer, M., Emmert-Streib, F., Mowshowitz, A., Shi, Y. Toward measuring network aesthetics based on symmetry. Axioms 6(2) 12, 2017; doi:10.3390/axioms6020012.

CIESIELSKI, K.C., HERMAN, G.T., and KONG, T.Y., General theory of fuzzy connectedness segmentations, Journal of Mathematical Imaging and Vision, Vol. 55, 2016, pp. 304 – 342. DOI link

A. Yuan, J. Wei, C. Gaebler, H. Huang, D. Olek, G. Li, "A novel respiratory motion perturbation model adaptable to patient breathing irregularities", International Journal of Radiation Oncology, Biology, Physics (the Red Journal), 96(5): 1087-1096, 2016. DOI link

M. Chao, J. Wei, T. Li, Y. Yuan, K. Rosenzweig, Y. Lo, "Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques", Physics in Medicine and Biology, Vol. 61, No. 8, pp. 3109-3126, 2016. DOI link

G. Li, J. Wei, et al., "Characterization of optical-surface-imaging (OSI)-based spirometry for respiratory surrogating in radiotherapy", Medical Physics Journal, Vol. 43, No.3, pp. 1348-1360, 2016. DOI link

J. Wei and M. Chao, "Diaphragm Motion Tracking Based On KV CBCT Projections with a Constrained Linear Regression Optimization", Medical Physics, 43(6), 2016. DOI link

M. Chao, J. Wei, Y. Yuan, Y. Lo, "Marker Free Lung Tumor Motion Tracking by An Active Contour Model On Cone Beam CT Projections for Stereotactic Body Radiation Therapy of Lung Cancer", Medical Physics, 43(6), 2016. DOI link

J. Wei, J. Penagaricano, G. Narayanasamy, M. Chao, "Three-Dimensional Cluster Model in Inhomogeneous Dose Distribution", Medical Physics, 43(6), 2016. DOI link

G. Li, D. Olek, J. Wei, et al. "Direct comparison of T2-based respiratory-correlated 4DMRI reconstructed from simultaneous internal navigator and external bellows", Medical Physics, 43(6), 2016. DOI link

G. Li, J. Wei, et al., "Feasibility of super-resolution time-resolved 4DMRI for multi-breath volumetric motion simulation in reaiotherapy planning", Med. Phys., 43(6), 2016.

S. Zhang, H. Huang, J. Wei, G. Li, "Clinical applicability of an optical-surface-imaging-based technique for spriometric measurement, breathing pattern monitoring and body drift correction", Med. Phys. 43(6), 2016. DOI link

J. Wei and G. Li, "A four-dimensional clinical multimodal image processing toolbox", Int. Conf. on the use of Computers in Radiation Therapy (ICCR'16), 2016.

Epstein, S. L. and E. Osisek (2016). I'll know it when I see it: Toward Cognitively Plausible Recommendations. Cognitum 2016. New York, NY.

“Trends and Trades,” M. Carlisle, O. Hadjiliadis and I. Stamos, Handbook of high-frequency trading and modeling in finance, Chapter 1. Editors: F. Viens, M. C. Mariani and I. Florescu, Publisher: John Wiley and Sons (2016). DOI link

Zhenfeng Jiang, Yanming Ma, Jiali Chen, Zigeng Wang, Zheng Peng, Jun Liu and Guitao Han, Towards Multi-functional Light-weight Long-term Real-time Coastal Ocean Observation System, in Proceedings of the 11th ACM International Conference on Underwater Networks & Systems (WUWNet'16), Shanghai, China, 2016. DOI link

Yu Luo, Lina Pu, Zheng Peng and Jun-Hong Cui, Dynamic Control Channel MAC in Underwater Cognitive Acoustic Networks, in IEEE International Conference on Computer Communications (INFOCOM'16), San Francisco, CA, USA, 2016. DOI link

Yu Luo, Lina Pu, Zheng Peng and and Zhijie Shi, RSS-Based Secret Key Generation in Underwater Acoustic Networks: Advantages, Challenges, and Performance Improvements, IEEE Communications Magazine, vol. 54, no. 2, pp. 32--38, 2016. DOI link

Michael I Mandel and Jon P Barker. Multichannel spatial clustering for robust far-field automatic speech recognition in mismatched conditions. In Proceedings of Interspeech, pages 1991--1995, 2016. DOI link

Michael I Mandel. Directly comparing the listening strategies of humans and machines. In Proceedings of Interspeech, pages 660--664, 2016. DOI link

Hakan Erdogan, John Hershey, Shinji Watanabe, Michael I Mandel, and Jonathan Le Roux. Improved MVDR beamforming using single-channel mask prediction networks. In Proceedings of Interspeech, pages 1981--1985, 2016. DOI link

Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Liang Lu, John Hershey, Michael L Seltzer, Guoguo Chen, Yu Zhang, Michael Mandel, and Dong Yu. Deep beamforming networks for multi-channel speech recognition. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 5745--5749. IEEE, mar 2016. DOI link

Johanna Devaney, Michael I Mandel, Douglas Turnbull, and George Tzanetakis, editors. Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR). New York, 2016.

Hasan, M. R., Bazzan, A. L., Friedman, E., & Raja, A. (2016, November). A multiagent solution to overcome selfish routing in transportation networks. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1850-1855). IEEE. DOI link

Vovsha, I., Salleb-Aouissi, A., Raja, A., Koch, T., Rybchuk, A., Radeva, A., ... & Wapner, R. (2016). Using kernel methods and model selection for prediction of preterm birth. arXiv preprint arXiv:1607.07959. MLR link

Raja, A., Hasan, M. R., Flowe, R., & Fernes, B. (2016). Modeling Uncertainty and Its Implications in Complex Interdependent Networks. Office of Acquisition Resources and Analysis, OUSD (AT and L) Washington United States. DTIC link

Z. Liu, C. Zhang and Y. Tian, 3D-based Deep Convolutional Neural Network for Action Recognition with Depth Sequences, Image and Vision Computing, Vol. 55, Part 2, pp. 93-100, November 2016. doi:10.1016/j.imavis.2016.04.004

Y. Xian and Y. Tian, Single Image Super-Resolution via Internal Gradient Similarity, Journal of Visual Communication and Image Representation, pp. 91-102, Vol. 35, Feb. 2016. DOI information: 10.1016/j.jvcir.2015.11.015

X. Rong, B. Li, J. P. Mũno, J. Xiao, A. Arditi and Y. Tian, Guided Text Spotting for Assistive Blind Navigation in Unfamiliar Indoor Environments, 12th International Symposium on Visual Computing (ISVC), 2016.

C. Zhang and Y. Tian, Automatic Video Description Generation via LSTM with Joint Two-stream Encoding, the 23rd International Conference on Pattern Recognition (ICPR), 2016.

C. Zhang and Y. Tian, Automatic Video Captioning via Multi-channel Sequential Encoding, Fourth International Workshop on Assistive Computer Vision and Robotics (ACVR) in conjunction with ECCV 2016. [Dataset]

B. Li, J. P. Mũnoz, X. Rong, J. Xiao, Y. Tian, and A. Arditi, ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind, Fourth International Workshop on Assistive Computer Vision and Robotics (ACVR) in conjunction with ECCV 2016.

X. Rong, C. Yi, and Y. Tian, Recognizing Text-based Traffic Guide Panels with Cascaded Localization Network, ECCV2016 workshop on Computer Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD) in conjunction with ECCV 2016. [Dataset]

X. Rong and Y. Tian, Adaptive Shrinkage Cascades for Blind Image Deconvolution, IEEE International Conference on Digital Signal Processing (DSP), 2016.

C. Zhang, Y. Tian, and M. Huenerfauth, Multi-Modality American Sign Language Recognition, IEEE International Conference on Image Processing (ICIP), 2016.

J. P. Munoz, B. Li, X. Rong, J. Xiao, Y. Tian, and A. Arditi, Demo: Assisting Visually Impaired People Navigate Indoors, the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016

L. Du, H. Lang, Y. Tian, C. Tan, J. Wu, and H Ling, Covert Video Classification by Codebook Growing Pattern, IEEE International Workshop on Moving Cameras Meet Video Surveillance: from Body Cameras to Drones (MCMVS) in conjunction with CVPR 2016

R. Munoz, X. Rong, and Y. Tian, Depth-aware Indoor Staircase Detection and Recognition for the Visually Impaired, The 3rd IEEE International Workshop on Mobile Multimedia Computing (MMC 2016) in conjunction with ICME 2016.

Y. Ye and Y. Tian, Embedding Sequential Information into Spatiotemporal Features for Action Recognition, IEEE CVPR2016 workshop RoF: Robust Features for Computer Vision 2016.

C. Zhang and Y. Tian, BCA: Bi-symmetric Component Analysis for Temporal Symmetry in Human Actions, IEEE International Conference on Multimedia and Expo (ICME), 2016.

Y. Ye, X. Rong, X. Yang, and Y. Tian, Region Trajectories for Video Semantic Concept Detection, ACM International Conference on Multimedia Retrieval (ICMR), 2016.

Y. Xian and Y. Tian. Resolution Enhancement in Single Depth Map and Aligned Image. IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

Z. Zhu, W. L. Khoo, C. Santistevan, Y. Gosser, E. Molina, H. Tang, T. Ro and Y. Tian. EFRI-REM at CCNY: Research Experience and Mentoring in Multimodal and Alternative Perception for Visually Impaired People. In IEEE 6th Integrated STEM Education Conference (ISEC '16), 2016.

- Hart T and Xie L* (2016) Providing data science support for systems pharmacology and its implications to drug discovery. Expert Opin Drug Discov., 11(3):241-256

- Lim HS, Gary P, Xie L*, A. Poleksic A (2016) Improved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem. Sci. Rep. 6:38860

- Dider S, Ji JD, Zhao Z, Xie L* (2016) Molecular mechanisms involved in the side effects of fatty acid amide hydrolase inhibitors: a structural phenomics approach to proteome-wide cellular off-target deconvolution and disease association. npj Sys Biol Appl, 2:16023

- Lim HS, Poleksic A, Yao Y, Tong HH, Zhuang L, Meng P., Xie L* (2016) Large scale off-target prediction using an accurate and efficient one-class collaborative filtering algorithm and its application to drug repurposing. PLoS Comp Biol. 12(10):e1005135

- Chiu SH, Xie L* (2016) Toward high-throughput predictive modeling of protein binding/unbinding kinetics. J Chem Inf Model, 56(6):1164–1174

- Allen GI, Amoroso N, Anghel G. et al. (2016) Crowdsourced estimation of cognitive decline and resilience in Alzermer’s disease. Alzheimer’s & Dementia, 12(6):645-53

- Zhao Z, Xie L, Xie L*, Bourne PE (2016) Delineation of polypharmacology across the human structural kinome using a functional site interaction fingerprint approach. J Med Chem. 59(9):4326–4341

- Lhota J, Xie L* (2016) Protein fold recognition using an improved single source k diverse shortest paths algorithm. Proteins, 84(4):467-72

- Hart T, Diber S, Han W, Xu H, Zhao Z, Xie L* (2016) Toward repurposing metformin as a precision anti-cancer therapy using structural systems pharmacology. Sci Rep., 6:20441

- Zhao Z, Martin C, Fan R, Bourne PE, Xie L* (2016) Drug repurposing to target Ebola virus replication and virulence using structural systems pharmacology. BMC Bioinformatics, 17(1):90

- Wang C, Hu G, Wang K, Brylinski M, Xie L, Kurgan L (2016) PDID: database of molecular-level putative protein-drug interactions in the structural human proteome. Bioinformatics, 32(4):579-86

- Chen C, Tong HH., Xie L, Ying L, He Q. (2016) FASCINATE: fast cross-layer dependency inference on multi-layered networks. Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2016), pp765-774.

Roman Barták, Agostino Dovier, Neng-Fa Zhou: Multiple-Origin-Multiple-Destination Path Finding with Minimal Arc Usage: Complexity and Models. ICTAI 2016: 91-97

Neng-Fa Zhou, Håkan Kjellerstrand: The Picat-SAT Compiler. PADL 2016: 48-62

Neng-Fa Zhou: Programming in Picat. RuleML 2016: 3-18

A. Amir, M. Amit, G. M. Landau and D. Sokol. Period Recovery over the Hamming and Edit Distances. Latin American Symposium on Theoretical Informatics, pages 55-67, 2016.

S. Geizhals and D. Sokol. 2D Palindromes. LIPIcs-Leibniz International Proceedings in Informatics: 54, pages 19:1--19:12, 27th Annual Symposium on Combinatorial Pattern Matching CPM 2016.

D'Alotto, L., Pizzuti, C., Characterization of one-dimensional cellular automata rules through topological network features, AIP Conference Proceedings (2016) 1776, Numerical Computations: Theory and Algorithms, pp. 090048-1 - 090048-4.

D'Alotto, L., Classifying cellular automata using grossone, AIP Conference Proceedings (2016) 1776, Numerical Computations: Theory and Algorithms, pp. 020003-1 - 020003-8.

Yu, N., Guo, X., Gu, F., and Pan, Y. Signalign: An ontology of DNA as signal for comparative gene structure prediction using information-coding-and-processing techniques, IEEE Transactions on NanoBioscience, 15(2): 119-130, IEEE, 2016.

Yu, N., Yu, Z., Li, B., Gu, F., and Pan, Y. A comprehensive review of emerging computational methods for gene identification, Journal of Information Processing Systems, 12(1): 1-34, KIPS, 2016.

Bai, F., Gu, F, Hu, X., and Guo, S. Particle routing in distributed particle filters for large-scale spatial temporal systems, IEEE Transactions on Parallel and Distributed Systems, 27(2): 481-493, IEEE, 2016.

Wu, S., Zhang, P., Li, F., Gu, F., and Pan, Y. A hybrid discrete particle swarm optimization-genetic algorithm for service-oriented manufacturing systems, Journal of Central South University, 23: 421-429, Springer, 2016.

Gu, F., Syeda, R., and Ai, C. Geo-referenced image data assimilation for wildfire spread simulation, ANSS 2016, 2016 Spring Simulation Multi-Conference, 78-85, 2016.

Xie, X., Verbraeck, A., and Gu, F. Data assimilation in discrete event simulations-A rollback based sequential Monte Carlo approach, TMS/DEVS 2016, 2016 Spring Simulation Multi-Conference, 522-529, 2016.

A. Amir, M. Amit, G. M. Landau and D. Sokol. Period Recovery over the Hamming and Edit Distances. Latin American Symposium on Theoretical Informatics, pages 55-67, 2016.

S. Geizhals and D. Sokol. 2D Palindromes. LIPIcs-Leibniz International Proceedings in Informatics: 54, pages 19:1--19:12, 27th Annual Symposium on Combinatorial Pattern Matching CPM 2016.

D'Alotto, L., Pizzuti, C., Characterization of one-dimensional cellular automata rules through topological network features, AIP Conference Proceedings (2016) 1776, Numerical Computations: Theory and Algorithms, pp. 090048-1 - 090048-4.

D'Alotto, L., Classifying cellular automata using grossone, AIP Conference Proceedings (2016) 1776, Numerical Computations: Theory and Algorithms, pp. 020003-1 - 020003-8.

Mikael Vejdemo-Johansson and Primoz Skraba. “Topology, BigData and Optimization”. In: Big Data Optimization: Recent Developments and Challenges. Springer, 2016, pp. 147–176.

"Obstructions for three-coloring graphs without induced paths on six vertices", M. Chudnovsky, J. Goedgebeur, O. Schaudt and M. Zhong. In Proceedings of 27th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2016), 1774-1783.

Zeng, L., Xiao, Y., Chen, H., Sun, B., & Han, W. (2016). Computer operating system logging and security issues: a survey. Security and Communication Networks, 9(17), 4804–4821. https://doi.org/10.1002/sec.1677

Lee, J.-S., Damevski, K., & Chen, H. (2016). Exploring Computer Science Students’ Learning of Sensor-Driven Mobile App Design: A Case Study. International Journal of Teaching and Case Studies, 3/4, 187–206. https://doi.org/10.1504/IJTCS.2016.080934

Damevski, K., Chen, H., Shepherd, D., & Pollock, L. (2016). Interactive Exploration of Developer Interaction Traces Using a Hidden Markov Model. In Proceedings of the 13th International Workshop on Mining Software Repositories (pp. 126–136). New York, NY, USA: ACM. https://doi.org/10.1145/2901739.2901741

A. Satyanarayana, “Performance modeling of CMOS inverters using support vector machines (SVM) and adaptive sampling”, Journal of Microprocessors and Microsystems (Elsevier) (2016), Volume 46(B), pp 193-201.

A. Satyanarayana and R.Chinchilla “Ensemble Noise Filtering for Streaming Data Using Poisson Bootstrap Model Filtering”, 13th International Conference on Information Technology – New Generations (ITNG 2016), Las Vegas, NV, April 2016, pp 869-879.

A. Satyanarayana and M. Nuckowski, “Data Mining using Ensemble Classifiers for Improved Prediction of Student Academic Performance”, ASEE Mid-Atlantic Section Spring 2016 Conference, George Washington University, Washington D.C, April 2016.

Raffi Khatchadourian, Olivia Moore, and Hidehiko Masuhara. Towards improving interface modularity in legacy Java software through automated refactoring. In Companion Proceedings of the International Conference on Modularity, MODULARITY Companion 2016, pages 104–106, New York, NY, USA, March 2016. ACM.

Gianpaolo Fasoli, Augustin Farrugia, Apoorva Govind, and Raffi Khatchadourian. Controlling use of shared content items based on client device, January 2016. US Patent 20,160,019,375; US Patent App. 14/634,405.

M. Vincent, H. Tang, W. L. Khoo, Z. Zhu, T. Ro. Shape Discrimination using the Tongue: Implications for a Visual-to-Tactile Sensory Substitution Device. Multisensory Research, 29(8), October 2016, pp. 773-798. DOI: 10.1163/22134808-00002542

W. L. Khoo, Z. Zhu, Multimodal and Alternative Perception for the Visually Impaired: A Survey, Journal of Assistive Technologies, Vol. 10 Iss: 1, pp.11-26, 2016. http://dx.doi.org/10.1108/JAT-04-2015-0014

H. Feng, N. Tsering, H. Tang, and Z. Zhu. Indoor Localization for the Visually Impaired Using a 3D Sensor. Journal on Technology and Persons with Disabilities. Vol. 4. Nov. 2016.

H. Tang, N. Tsering, F. Hu, and Z. Zhu. Automatic Pre-Journey Indoor Map Generation Using AutoCAD Floor Plan. Journal on Technology and Persons with Disabilities. Vol. 4. Oct. 2016

W. Li, F. Abtahi, C. Tsangouri and Z. Zhu, Towards an "In-the-Wild" Emotion Dataset Using a Game-based Framework. In Affect in the Wild Workshop, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16) Workshops (CVPRW).

Z. Zhu, W. L. Khoo, C. Santistevan, Y. Gosser, E. Molina, H. Tang, T. Ro and Y. Tian, EFRI-REM at CCNY: Research Experience and Mentoring for Underrepresented Groups in Cross-disciplinary Research on Assistive Technology. The 6th IEEE Integrated STEM Education Conference (ISEC’16), March 6, 2016, Princeton, New Jersey (one of the 5 H. Robert Schroeder Best Paper Award Nominees among 50 oral papers).

C.-S. Lin, Z. Zhu, and T. Ro, Dynamic Project-based STEM Curriculum Model for a Small Humanities High School. The 2016 IEEE Integrated STEM Education Conference (ISEC’17), March 5, 2016, Princeton, New Jersey.

F. Hu, N. Tsering, H. Tang, Z. Zhu, GB-D Sensor Based Indoor Localization for the Visually Impaired. The 31st Annual International Technology and Persons with Disabilities Conference (Research Track), San Diego, CA, U.S.A, Mar. 2016

Mohammad Hasan, Ana Bazzan, Eliyahu Friedman*, Anita Raja, "A Multiagent Solution to Overcome Selfish Routing In Transportation Networks", Proceedings of the IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Rio De Janeiro, Brazil, Nov 1-3, 2016.

Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Tom Koch*, Alex Rybchuk*, Axinia Radeva, Ashwath Rajan,Yiwen Huang, Hatim Diab, Ashish Tomar and Ronald Wapner, "Using Kernel Methods and Model Selection for Prediction of Preterm Birth", Proceedings of Machine Learning Research 56:55-72, Presented at the 1st Machine Learning for Healthcare Conference, August 19-20, 2016, Los Angeles, CA.

Anita Raja, Mohammad Hasan, Rob Flowe, Brendan Fernes, "Modeling Uncertainty and Its Implications in Complex Interdependent Networks", Proceedings of Naval Postgraduate Schools 13th Annual Acquisition Research Symposium, Monterey, CA, May 2016.

Mohammad Hasan and Anita Raja "Establishing Cooperation in Highly-Connected Networks Using Altruistic Agents", Proceedings of the IEEE/WIC/ACM Intelligent Agent Technology Conference 2015, December 6-9, 2015, Singapore.

Mohammad Hasan, Anita Raja and Ana Bazzan "Fast Convention in Dynamic Networks using Topological Knowledge" Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), pp 2067-2073, Jan 25-30, 2015, Austin, TX. (Acceptance Rate 26.67%)

- Sven Dietrich, Michael Brenner, and Katharina Krombholz, “Who are you now? Fading to multiple personas”, in Proceedings of “Who are you?! Adventures in Authentication” workshop at the Usenix Symposium On Usable Privacy and Security (SOUPS), Denver, CO, June 2016.

Vincent Chiriaco, Aubrey Franzen, Rebecca Thayil, and Xiaowen Zhang. Finding partial hash collisions by brute force parallel programming. Proc. of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, Sept 19-21, 2016, pp. 1-2. [2 pages poster paper]

Matthew Chan, Hassan Elsherbini, and Xiaowen Zhang. User density and spatial cloaking algorithm selection: improving privacy protection of mobile users. Proc. of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, Sept 19-21, 2016, pp. 1-2. [2 pages poster paper]

C. Chum and X. Zhang. A new multi-server scheme for private information retrieval. Contemporary Mathematics (AMS), Vol. 677–Algebra and Computer Science, 2016, pp. 45-50.

C. Chum, B. Fine, A. Moldenhauer, G. Rosenberger, and X. Zhang. On secret sharing protocols. Contemporary Mathematics (AMS), Vol. 677–Algebra and Computer Science, 2016, pp. 51-78.

David Guy Brizan, Kevin Gallagher, Arnab Jahangir, Theodore Brown, Predicting Citation Patterns: defining and determining influence, Scientometrics, 108 p183-200, 2016

Dara Pir, T Brown, J Krajewski (2016): “Wrapper-based acoustic group feature selection for noise-robust automatic sleepiness classification”, In CHiME 2016 - Proceedings of the 4th International Workshop on Speech Processing in Everyday Environments, September 13, San Francisco, CA, USA, pp. 78-81. http://spandh.dcs.shef.ac.uk/chime_workshop/chime2016/papers/CHiME_2016_paper_6.pdf[spandh.dcs.shef.ac.uk]

Shu-Yuan Wu, Brown T, Opinion Formation Using the Gür Game, Asian Simulation Conference, 2016/10/8, 368-377

Seo, E., Dogan, G., Abdelzaher, T., Brown, T. Root Cause Diagnosis in Error-propagating Networks, Wiley, Security and Communication Networks, 2016, pp.1297-1308

R.Gustavson, M. Kondratieva, and A. Ovchinnikov, New effective differential Nullstellensatz, Advances in Mathematics 290 (2016) 1138–1158.

O. Leon Sanchez and A. Ovchinnikov, On bounds for the effective differential Nullstellensatz, Journal of Algebra 449 (2016) 1–21.

R. Gustavson, A. Ovchinnikov, and G. Pogudin, Bounds for orders of derivatives in differential elimination algorithms, Proceedings of the ACM on International Symposium on Symbolic and Algebraic Computation, ISSAC 2016, ACM Press, 239–246.

HERMAN, G.T., KONG, T.Y., and CIESIELSKI, K.C., Fuzzy connectedness segmentation: A brief presentation of the literature, in: R.P. Barneva, B.B. Bhattacharya, and V.E. Brimkov, Eds., Combinatorial Image Analysis: 17th International Workshop (IWCIA 2015, Kolkata, India, November 2015), Proceedings, Springer, Cham, 2015, pp. 21 – 30. DOI link

J. Wei, B. Cai, L. Zhang and B.M. Fu, "Automatic classification and quantification of cell adhesion locations on the endothelium", Annals of Biomedical Engineering, 43(8), pp. 1803-1814, 2015. DOI link

G. Li, J. Wei, et al., "Automatic assessment of average diaphragm motion trajectory from 4DCT images through machine learning", Biomedical Physics & Engineering Express, Vol. 1, No. 4, 2015. DOI link

G. Li, H. Huang, J. Wei, et al., "Novel spirometry based on optical surface imaging", Medical Physics Journal, Vol. 42, No. 4, 2015 ( Medical Physics Letter 2015) (Featured as Today's Science Sparks in April, 2015, MSKCC). DOI link

G. Li, J. Wei, N. Tyagi, M. Hunt, J. Deasy, "First-order approximation of time-resolved 4DMRI from cine 2DMRI and respiratory-correlated 4DMRI", Medical Physica Journal, 42(6), 2015. DOI link

H. Huang, J. Wei, Q. Chen, C. Gaebler, G. Li, "Accuracy and dynamic range of optical-surface-imaging (OSI)-based spirometry", Medical Physics Journal, 42(6), 2015. DOI link

G. Li, C. Gaebler, H. Huang, A. Yuan, J. Wei "A framework of physical-law-based repiratory-perturbation modeling for motion prediction", Medical Physics Journal, 42(6), 2015. DOI link

Epstein, S. L., A. Aroor, M. Evanusa, E. Sklar and S. Parsons 2015. Learning Spatial Models for Navigation. COSIT 2015. DOI link

Epstein, S.L., Aroor, A., Evanusa, M., Sklar, E.I., Simon, S. Navigation with Learned Spatial Affordances. 2015. In Proceedings of CogSci 2015, pp.644-649. Pasadena, CA.

Epstein, S. L., M. Evanusa and A. Aroor 2015. In Preparation for Joint Action.

Epstein, S.L., A. Aroor, M. Evanusa, E.I. Sklar, and S. Parsons, (2015). Spatial Abstraction for Autonomous Robot Navigation. Cognitive Processing, 16(1):215-219. DOI link

“Robustness of the N-CUSUM Rule in a Wiener Disorder Problem,” H. Zhang, N. Rodosthenous and O. Hadjiliadis, Annals of Applied Probability, issue 6, vol. 25, pp. 3405–3433 (2015). Project EUCLID

"Online Classification in 3D Urban Datasets Based on Hierarchical Detection,” T. Flynn, O. Hadjiliadis and I. Stamos, Proceedings of the International Conference on 3D Vision (3DV), October 19–22, Lyon, France, 2015. DOI link

Yu Luo, Lina Pu, Zheng Peng, Zhong Zhou and Jun-Hong Cui, An Efficient MAC Protocol for Underwater Multi-user Uplink Communication Networks, Ad Hoc Networks, vol. 34, no. C, pp. 75--91, 2015. DOI link

Michael Zuba, Zhijie Shi, Zheng Peng, Jun-Hong Cui and Shengli Zhou, Vulnerabilities of Underwater Acoustic Networks to Denial-of-Service Jamming Attacks, Wiley Security and Communication Networks, vol. 8, no. 16, pp. 2635--2645, 2015. DOI link

Fei Dou and Zheng Peng, On-demand Pipelined MAC for Multi-hop Underwater Wireless Sensor Networks, in The 10th ACM International Conference on Underwater Networks & Systems (WUWNet'15), 2015. DOI link

Deblin Bagchi, Michael I Mandel, Zhongqiu Wang, Yanzhang He, Andrew Plummer, and Eric Fosler-Lussier. Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, pages 496--503, 2015. DOI link

Sreyas Srimath Tirumala and Michael I Mandel. Exciting estimated clean spectra for speech resynthesis. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015. DOI link

Michael I Mandel and Young Suk Cho. Audio super-resolution using concatenative resynthesis. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015. DOI link

Michael I Mandel and Nicoleta Roman. Enforcing consistency in spectral masks using markov random fields. In Proceedings of EUSIPCO, pages 2028--2032, 2015. DOI link

Method of Comparing Private Data without Revealing the Data, Patent issued (US9197637B2​) with a publication date 11/24/2015; Inventor: Bon K. Sy and Arun Prakash Kumara Krishnan; Priority date: July 08, 2011.​ Google Patents

Harrison, M. T., Amarasingham, A., & Truccolo, W. (2015). Spatiotemporal conditional inference and hypothesis tests for neural ensemble spiking precision. Neural computation, 27(1), 104-150. DOI link

Lansiquot, R. D., & Cabo, C. (2015). Concept Mapping Narratives to Promote CSCL and Interdisciplinary Studies. International Society of the Learning Sciences, Inc.[ISLS]. ISLS repository

Cabo, C. (2015). Post-repolarization refractoriness increases vulnerability to block and initiation of reentrant impulses in heterogeneous infarcted myocardium. Computers in biology and medicine, 65, 209-219. DOI link

Hasan, M. R., & Raja, A. (2015, December). Establishing Cooperation in Highly-Connected Networks Using Altruistic Agents. In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (Vol. 2, pp. 112-119). IEEE. DOI link

Hasan, M. R., Raja, A., & Bazzan, A. (2015, February). Fast convention formation in dynamic networks using topological knowledge. In Twenty-Ninth AAAI Conference on Artificial Intelligence. DOI link

C. Zhang and Y. Tian, Histogram of 3D Facets: A Depth Descriptor for Human Action and Hand Gesture Recognition, Computer Vision and Image Understanding, Volume 139, Pages 29-39, October 2015.

L. Tian, C. Yi, and Y. Tian, Detecting Good Quality Frames in Videos from Mobile Camera for Blind Navigation, Journal of Computer Vision and Image Processing, Vol. 5, No. 10, October 2015.

C. Yi and Y. Tian, Assistive Text Reading from Natural Scene for Blind Persons, Chapter in book Mobile Cloud Visual Media Computing: From Interaction to Service, by Springer, G. Hua and X. Hua (Eds), 2015.

S. Chen, X. Yang, and Y. Tian, Discriminative Hierarchical K-Means Tree for Large-Scale Image Classification, IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 9, 2015.

S. Chen and Y. Tian, Pyramid of Spatial Relatons for Remotely Sensed Land Use Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 4, pp1947-1957, April 2015.

Y. Ye, X. Rong, X. Yang, and Y. Tian. CCNY at TRECVID 2015: Video Semantic Concept Localization. NIST TRECVID Workshop, 2015.

B. Li, X. Zhang, J. P. Munoz, J. Xiao, X. Rong, and Y. Tian, Assisting Blind People to Avoid Obstacles: An Wearable Obstacle Stereo Feedback System based on 3D Detection, IEEE International Conference on Robotics and Biomimetics, 2015.

Y. Xian, X. Yang, and Y. Tian, Hybrid Example-based Single Image Super-Resolution, 11th International Symposium on Visual Computing (ISVC), 2015.

Z. Liu, X. Feng and Y. Tian, An Effective View and Time-invariant Action Recognition Method based on Depth Video, International Conference on Visual Communications and Image Processing (VCIP), 2015.

X. Zhang, B. Li, S.L. Joseph, J. Xiao, Y. Sun, Y. Tian, and C. Yi, A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hong Kong, 2015.

Y. Xian and Y. Tian, Robust Internal Exemplar-based Image Enhancement, IEEE International Conference on Image Processing (ICIP), 2015.

Y. Ye, X. Yang, and Y. Tian, Exploring Pooling Strategies based on Idiosyncrasies of Spatio-Temporal Interest Points, ACM International Conference on Multimedia Retrieval (ICMR), 2015.

- Liu YC, Tong HH, Xie L, Tang Y (2015) Supervised link prediction using random walks. In Social Media Processing, pp107-118.

- Tsai L.-C, Xie L, Dore K, Xie L, J. Del Rio JC, King CC, MartinezAriza G, Hulme C, Malinow R, Bourne PE, Newton AC (2015) Zeta inhibitory peptide disrupts electrostatic interactions that maintain atypical protein kinase C in its active conformation on the scaffold p62. J. Biol. Chem., 290(36):21845-56.

- Lhota J., Hauptman R., Hart T., Ng C., Xie L* (2015) A new method to improve network topological similarity search: applied to fold recognition. Bioinformatics. 31:2106-2114

- Xie L* and Bourne PE (2015) Developing multi-target therapeutics to fine-tune the evolutionary dynamics of the cancer ecosystem. Front. Pharmacol. 6:209. doi: 10.3389/fphar.2015.00209

D'Alotto, L., A classification of one-dimensional cellular automata using infinite computations, Applied Mathematics and Computation 225 (2015), Elsevier, pp. 15-24.

Gu, F., and Wang, X. Analysis of allele specific expression--a survey, Tsinghua Science and Technology, 20(5): 513-529, IEEE Xplore, 2015.

Gu, F., Butt, M., Ai, C., Shen, X., and Xiao, J. Adaptive particle filtering in data assimilation of wildfire spread simulation, 2015 Summer Simulation Multi-Conference, 159-168, 2015.

Yu, N., Guo, X., Gu, F., and Pan, Y. DNA as X: an information-coding-based model to improve comparative gene analysis, 11th International Symposium on Bioinformatics Research and Applications (ISBRA 2015), 366-377, 2015.

Gu, F. Adaptively perturbing localized state space in data assimilation of wildfire spread simulation, ANSS 2015, Spring Simulation Multi-Conference 2015, 254-263, 2015. (ANSS best paper runner-up)

Yu, N., Gu, F., Guo, X., and He, Z. A Fine-grained flow control model for cloud-assisted data broadcasting, 18th CNS, Spring Simulation Multi-Conference 2015, 324-331, 2015.

D'Alotto, L., A classification of one-dimensional cellular automata using infinite computations, Applied Mathematics and Computation 225 (2015), Elsevier, pp. 15-24.

Bhunia, Suman and Sengupta, Shamik and Vazquez-Abad, Felisa (2015) “Performance Analysis of CR-Honeynet to prevent Jamming Attack through Stochastic Modeling”’, Pervasive and Mobile Computing, No. 21, 133-149.

Erin Wolf Chambers and Mikael Vejdemo-Johansson. “Computing Minimum Area Homologies”. In: Computer Graphics Forum. Vol. 34. Wiley Online Library, 2015, pp. 13–21.

Zeng, L., Xiao, Y., & Chen, H. (2015). Auditing overhead, auditing adaptation, and benchmark evaluation in Linux. Security and Communication Networks, 8(18), 3523–3534. https://doi.org/10.1002/sec.1277

Wang, J., Damevski, K., & Chen, H. (2015). Sensor data modeling and validating for wireless soil sensor network . Computers and Electronics in Agriculture , 112(0), 75–82. https://doi.org/http://dx.doi.org/10.1016/j.compag.2014.12.016

Zeng, L., Xiao, Y., & Chen, H. (2015). Linux Auditing: Overhead and Adaptation. In Proceedings of the 2015 IEEE International Conference on Communications (ICC ’15) - Communication and Information Systems Security Symposium (pp. 7168–7173). https://doi.org/10.1109/ICC.2015.7249470

Zeng, L., Xiao, Y., & Chen, H. (2015). Accountable Logging in Operating Systems. In Proceedings of the 2015 IEEE International Conference on Communications (ICC ’15) - Communication and Information Systems Security Symposium (pp. 7163–7167). https://doi.org/10.1109/ICC.2015.7249469

Raffi Khatchadourian, Awais Rashid, Hidehiko Masuhara, and Takuya Watanabe. Detecting broken pointcuts using structural commonality and degree of interest. In International Conference on Automated Software Engineering, ASE 2015, pages 641–646, New York, NY, USA, November 2015. IEEE/ACM. (77/326; 23.6% acceptance rate).

Raffi Khatchadourian, Awais Rashid, Hidehiko Masuhara, and Takuya Watanabe. Fraglight: Shedding light on broken pointcuts in evolving aspect-oriented software. In Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity, SPLASH Companion 2015, pages 17–18, New York, NY, USA, October 2015. ACM.

Md. Arefin and Raffi Khatchadourian. Porting the NetBeans Java 8 enhanced for loop lambda expression refactoring to Eclipse. In Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity, SPLASH Companion 2015, pages 58–59, New York, NY, USA, October 2015. ACM.

W. Li, F. Abtahi, Z. Zhu, A deep feature based multi-kernel learning approach for video emotion recognition, Emotion Recognition in the Wild (EmotiW) Challenge 2015, the 17th ACM International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA. November 9-13th, 2015 (Top 5 in terms of performance among 60 submissions)

E. Molina, W. L. Khoo, F. Palmer, L. Ai, T. Ro, Z. Zhu, Vista Wearable: Seeing through Whole-Body Touch without Contact, The 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2015), August 10-14, 2015, Beijing China

G. Olmschenk, C. Yang, Z. Zhu, H. Tong and W. H. Seiple, Mobile Crowd Assisted Navigation for the Visually Impaired. The 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2015), August 10-14, 2015, Beijing China

W. L. Khoo, G. Olmschenk, Z. Zhu and T. Ro, Evaluating Crowd Sourced Navigation for the Visually Impaired in a Virtual Environment. IEEE 4th International Conference on Mobile Services (MS 2015), June 27 - July 2, 2015, New York, USA

W. Li, Z. Su, M. Li, Z. Zhu. A Deep-Learning Approach to Facial Expression Recognition with Candid Images. The 14th IAPR Conference on Machine Vision Applications (MVA 2015), Tokyo, May 18-22, 2015

G. Olmschenk, Z. Zhu. Mobile Real-Time Single Image 3D Corridor Reconstruction Using J-Linkage. The 14th IAPR Conference on Machine Vision Applications (MVA 2015), Tokyo, May 18-22, 2015

F. Abtahi, Z. Zhu, A. Burry. A Deep Reinforcement Learning Approach to Character Segmentation of License Plate Images. The 14th IAPR Conference on Machine Vision Applications (MVA 2015), Tokyo, May 18-22, 2015

C. Chum and X. Zhang. Implementations of a hash function based secret sharing scheme. J. of Applied Security Research (Routledge), 10(4), 2015, pp. 525-542.

Pradeep Adluru, Srikari Sindhoori Datla, and Xiaowen Zhang. Hadoop Eco System for Big Data Security and Privacy. Proc. of the 11th IEEE LISAT 2015, Farmingdale, NY, May 1, 2015, pp. 1-6.

Dara Pir, T Brown (2015): "Acoustic group feature selection using wrapper method for automatic eating condition recognition", In INTERSPEECH 2015 - Proceedings of the 16th Annual Conference of the International Speech Communication Association, September 6-10, Dresden, Germany, pp. 894-898. https://www.isca-speech.org/archive/interspeech_2015/papers/i15_0894.pdf[isca-speech.org]

Vazquez-Abad, F., Brown,T., Integrating Technology for a Self-regulated Public Bike Share, Transportation Technology Symposium, Innovative Mobility Solutions, Nov 20th, NYIT,2015

G. Dogan, Avincan,K. and Brown. T., DynamicMultProTru: An Adaptive Trust Model for Wireless Sensor Networks, 2015.

D Pir, Brown T.,Acoustic Group Feature Selection Using Wrapper Method for Automatic Eating Condition Recognition,, T. Interspeech, 2015.

Shu-Yuan Wu and T Brown. Opinion Formation under the Two-Step Flow Model and the Gur Game Framework. In The Sixth Annual Asian Conference on the Social Sciences (ACSS 2015). Japan, June 11-14, 2015.

A. Ovchinnikov and M. Wibmer, σ-Galois theory of linear difference equations, International Mathematics Research Notices 2015 (12) (2015) 3962–4018.

A. Minchenko, A. Ovchinnikov, and M.F. Singer, Reductive linear differential algebraic groups and the Galois groups of parameterized linear differential equations, International Mathematics Research Notices 2015 (7) (2015) 1733–1793.

Mowshowitz, A. and Dehmer, M. The Hosoya entropy of a graph. Entropy, 17, 2015, pp. 1054-1062; doi:10.3390/e17031054 Dehmer, M., Shi, Y. and Mowshowitz, A. Discrimination power of graph measures based on complex zeros of the partial Hosoya polynomial. Applied Mathematics and Computation, 250, 2015, pp. 352–355.

Wei Cheng, Yu Luo, Zheng Peng and Mardi Hastings, A Framework of Acoustic Channel Availability Prediction for Avoiding Interfering Marine Mammals, in Proceedings of the 9th ACM International Conference on Underwater Networks and Systems, Rome, Italy, 2014.

Yibo Zhu, Jun-Hong Cui, Zheng Peng and Zhong Zhou, Busy Terminal Problem and Implications for MAC Protocols in Underwater Acoustic Networks, in Proceedings of The 9th ACM International Conference on Underwater Networks and Systems (WUWNet'14), Rome, Italy, 2014.

Son Le, Jun Liu, Zheng Peng, Jiaxing Che, Yu Luo and Jun-Hong Cui, Seamark-assisted Inertial Navigation for Autonomous Underwater Vehicles, in Proceedings of The 9th ACM International Conference on Underwater Networks & Systems (WUWNet'14), Rome, Italy, 2014.

Andrew Tennenbaum, Maegan Dyakiw, Jun-Hong Cui and Zheng Peng, Application of Low Cost Optical Communication Systems to Underwater Acoustic Networks, in IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Philadelphia, PA, USA, 2014.

Lina Pu, Yu Luo, Haining Mo, Son Le, Zheng Peng, Jun-Hong Cui and Zaihan Jiang, Comparing Underwater MAC Protocols in Real Sea Experiments, Computer Communications, vol. 56, no. 1, pp. 47--59, 2014.

Yu Luo, Lina Pu, Zheng Peng, Zhijie Shi and Jun-Hong Cui, Exploring RSS Based Secret Key Generation in Underwater Acoustic Networks with Sea Experiments, UCONN CSE, UbiNet-TR14-01, 2014.

Zheng Peng, Li Wei, Zigeng Wang, Lei Wan, Michael Zuba, Jun-Hong Cui, Shengli Zhou, Zhijie Shi and James O'Donnell, Ocean-TUNE UCONN Testbed: A Technology Incubator for Underwater Communication and Networking, in IEEE Underwater Communications Networking (UCOMMS), Sestri Levante, Italy, 2014.

Yibo Zhu, Lina Pu, Zigeng Wang, Xiaoyan Lu, Robert Martin, Yu Luo, Zheng Peng and and Jun-Hong Cui, Underwater Acoustic Network Protocol Stacks: Simulator-based Vs. OS-based, in Proceedings of MTS/IEEE OCEANS'14, St. John's, Newfoundland and Labrador, Canada, 2014.

Yu Luo, Lina Pu, Zheng Peng, Yibo Zhu and Jun-Hong Cui, RISM: An Efficient Spectrum Management System for Underwater Cognitive Acoustic Networks, in Proceedings of IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 414--422, Singapore, 2014.

Yibo Zhu, Zheng Peng, Jun-Hong Cui and Huifang Chen, Toward Practical MAC Design for Underwater Acoustic Networks, IEEE Transactions on Mobile Computing, vol. 14, no. 4, pp. 872 - 886, 2014.

Jun Liu, Zhaohui Wang, Zheng Peng, Jun-Hong Cui and Lance Fiondella, Suave: Swarm Underwater Autonomous Vehicle Localization, in IEEE International Conference on Computer Communications (INFOCOM'14), Toronto, Canada, 2014.

Yu Luo, Lina Pu, Michael Zuba, Zheng Peng and Jun-Hong Cui, Challenges and Opportunities of Underwater Cognitive Acoustic Networks, IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 2, pp. 198 - 211, 2014.

Jun Liu, Zhaohui Wang, Michael Zuba, Zheng Peng, Jun-Hong Cui and Shengli Zhou, DA-Sync: A Doppler Assisted Time Synchronization Scheme for Mobile Underwater Sensor Networks, IEEE Transactions on Mobile Computing, vol. 13, no. 3, pp. 582 -- 595, 2014.

Haining Mo, Zheng Peng, Zhong Zhou and Jun-Hong Cui, A Two-phase Broadcast Scheme for Underwater Acoustic Networks, in IEEE GLOBECOM, Austin, TX, 2014.

Yibo Zhu, Son Le, Zheng Peng and Jun-Hong Cui, Distributed On-demand MAC Scheduling for Underwater Acoustic Networks, in Proceedings of IEEE GLOBECOM, 2014.

Cabo, C., & Lansiquot, R. D. (2014, October). Synergies between writing stories and writing programs in problem-solving courses. In 2014 IEEE Frontiers in Education Conference (FIE) Proceedings (pp. 1-9). IEEE.

Mohammad Rashedul Hasan, Sherief Abdallah and Anita Raja, Topology Aware Convention Emergence, Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), pp. 1593-1594 May 5- 9, 2014, Paris, France.

Anita Raja, Mohammad Hasan, Shalini Rajanna, Ansaf Salleb-Aouissi, "A Scalable Approach to Modeling Risk in the MDAP Network" Proceedings of Naval Postgraduate Schools 10th Annual Acquisition Research Symposium, pp 293-318, Monterey, CA.

Shanjun Cheng, Anita Raja and Linda Xie, “Dynamic Multi-agent Load Balancing Using Distributed Constraint Optimization Techniques”, Web Intelligence and Agent Systems: An International Journal (WIAS),Vol.12, No.2, pp 111-138, IOS Press, Netherlands, 2014.

IIia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar and Ronald Wapner. "Predicting Preterm Birth is Not Elusive: Machine Learning Paves the Way to Individual Wellness" Technical Report Series for AAAI 2014 Spring Symposium on “Big data becomes personal: Knowledge into Meaning” pp 82-89, March, 2014, Stanford, CA. Y. Tian, RGB-D Sensor-Based Computer Vision Assistive Technology for Visually Impaired Persons, Chapter in book Computer Vision and Machine Learning with RGB-D Sensors, by Springer, L. Shao, J. Han, P. Kohli, Z. Zhang (Eds), 2014. ISSN 2191-6586, ISBN 978-3-319-08650-7

C. Yi and Y. Tian, "Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration," IEEE Transactions on Image Processing, Vol. 23, No. 7, pp2972-2982, July 2014.

X. Yang, S. Yuan, and Y. Tian, "Assistive Clothing Pattern Recognition for Visually Impaired People," IEEE Transactions on Human-Machine Systems, Vol. 44, No. 2, pp234-243, April, 2014.

C. Yi, Y. Tian, and A. Arditi, Portable Camera-based Assistive Text and Product Label Reading from Hand-held Objects for Blind Persons,IEEE/ASME Transactions on Mechatronics, Vol. 19, No. 3, pp808-817, June 2014. http://dx.doi.org/10.1109/TMECH.2013.2261083

S. Wang, H. Pan, C. Zhang, and Y. Tian, RGB-D Image-Based Detection of Stairs, Pedestrian Crosswalks and Traffic Signs, Journal of Visual Communication and Image Representation (JVCIR), Vol. 25, pp263-272, 2014. http://dx.doi.org/10.1016/j.jvcir.2013.11.005

X. Yang and Y. Tian, Effective 3D Action Recognition Using Eigenjoints, Journal of Visual Communication and Image Representation (JVCIR), Special Issue on Visual Understanding and Applications with RGBD Cameras, Volume 25, Issue 1, January 2014. JVCI 2015 Best Paper Award.

Y. Xian, X. Rong, X. Yang, and Y. Tian, CCNY at TRECVID 2014: Surveillance Event Detection, NIST TRECVID Workshop, 2014.

X. Yang and Y. Tian, Polynormal Fisher Vector for Activity Recognition from Depth Sequences, SIGGRAPH ASIA 2014 workshop on Autonomous Virtual Humans and Social Robots (SG_AVH 2014), 2014.

X. Yang and Y. Tian, Action Recognition Using Super Sparse Coding Vector with Spatio-Temporal Awareness, European Conference on Computer Vision (ECCV'14), Part II, LNCS 8690, pp. 727--741. Springer International Publishing Switzerland, 2014.

Chenyang Zhang and Yingli Tian, Subject Adaptive Affection Recognition via Sparse Reconstruction, IEEE Workshop on Vision Meets Cognition, in conjunction with CVPR, 2014.

X. Rong, C. Yi, X. Yang, and Y. Tian, Scene Text Recognition in Multiple Frames based on Text Tracking, IEEE International Conference on Multimedia & Expo (ICME), 2014.

X. Yang and Y. Tian, Super Normal Vector for Activity Recognition Using Depth Sequences, The IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'14), 2014.

S. Bhunia, X. Su, S. Sengupta and F.J. Vazquez-Abad (2014) “Stochastic model for Cognitive Radio Networks under jamming attacks and honeypot-based prevention”, Distributed Computing and Networking, Lecture Notes in Computer Science, Volume 8314, 2014, pp 438-452. http://dx.doi.org/10.1007/978-3-642-45249-9-29.

F. Hu, Z. Zhu and J. Zhang, Mobile Panoramic Vision for Assisting the Blind via Indexing and Localization, Second Workshop on Assistive Computer Vision and Robotics, Zurich, Sept 12, 2014

W. Li, X. Li, M. Goldberg and Z. Zhu, Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor, Second Workshop on Assistive Computer Vision and Robotics, Zurich, Sept 12, 2014

Mohammad Rashedul Hasan, Sherief Abdallah and Anita Raja, Topology Aware Convention Emergence, Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), pp. 1593-1594 May 5- 9, 2014, Paris, France.

Anita Raja, Mohammad Hasan, Shalini Rajanna, Ansaf Salleb-Aouissi, "A Scalable Approach to Modeling Risk in the MDAP Network" Proceedings of Naval Postgraduate Schools 10th Annual Acquisition Research Symposium, pp 293-318, Monterey, CA.

Shanjun Cheng, Anita Raja and Linda Xie, “Dynamic Multi-agent Load Balancing Using Distributed Constraint Optimization Techniques”, Web Intelligence and Agent Systems: An International Journal (WIAS),Vol.12, No.2, pp 111-138, IOS Press, Netherlands, 2014.

IIia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar and Ronald Wapner. "Predicting Preterm Birth is Not Elusive: Machine Learning Paves the Way to Individual Wellness" Technical Report Series for AAAI 2014 Spring Symposium on “Big data becomes personal: Knowledge into Meaning” pp 82-89, March, 2014, Stanford, CA.

- Sven Dietrich, Jeroen van der Ham, Aiko Pras, Roland van Rijswijk-Deij, Darren Shou, Anna Sperotto, Aimee van Wynsberghe, and Lenore Zuck, “Ethics in data sharing: developing a model for best practice”, in Proceedings of the 2nd Cyber-security Research Ethics Dialog & Strategy (CREDS) Workshop, 5 pp, IEEE CS Security & Privacy Workshops, San Jose, CA, May 2014.

G. Zhao, X. Zhang, and A. Tansel. Open km-Learning: Using Semantic Web Technologies to Facilitate E-Learning. Proc of the 2014 Int. Conf. on Semantic Web and Web Services, Las Vegas, July 2014, pp. 1-5.

Chi Sing Chum, Changha Jun, and Xiaowen Zhang. Implementation of Randomize-then-Combine Constructed Hash Function. Proc of the 23rd IEEE Wireless and Optical Communication Conf. (WOCC 2014), Newark, May 9-10, 2014, pp. 1-6.

M. Chan and X. Zhang. Experiments for leveled RFID localization for indoor stationary objects. Proc of the 11th Int. Conf. on Information Technology: New Generations (ITNG 2014), IEEE Computer Society. Las Vegas, April 7-9, 2014, pp. 163-169.

Matthew Chan and Xiaowen Zhang. Simulations of leveled RFID localization for indoor moving objects. Int. J. of Radio Frequency Identification Technology and Applications (Inderscience), 4(3), 2014, pp. 213-228.

L. Shu, K. Cheng, X. Zhang, and J. Zhou. Periodic Sweep Coverage Scheme Based on Periodic Vehicle Routing Problem. Journal of Networks (Academy Publisher), 9(3), 2014, pp. 726-732.

A. Minchenko, A. Ovchinnikov, and M.F. Singer, Unipotent differential algebraic groups as param- eterized differential Galois groups, Journal of the Institute of Mathematics of Jussieu 13 (4) (2014) 671–700.

S. Gorchinskiy and A. Ovchinnikov, Isomonodromic differential equations and differential categories, Journal de Mathematiques Pures et Appliquees 102 (2014) 48–78.

R. Miller, A. Ovchinnikov, and D. Trushin, Computing constraint sets for differential fields, Journal of Algebra 407 (2014) 316–357.

B. Antieau, A. Ovchinnikov, and D. Trushin, Galois theory of difference equations with periodic parameters, Communications in Algebra 42 (9) (2014) 3902–3943.

A. Ovchinnikov, Difference integrability conditions for parameterized linear difference and differential equations, Advances in Applied Mathematics 53 (2014) 61–71.

Dehmer, M., Mowshowitz, A., and Shi, Y. Structural differentiation of graphs using Hosoya-based indices. PLOS ONE, 9 (7), 2014; e102459. Dehmer, M. and Mowshowitz, A. A case study of cracks in the scientific enterprise: reinvention of information-theoretic measures for graphs. Complexity, 2014; DOI 10.1002/cplx.21540.