1. R. Russell, L. Kim, L. Hamilton, T. Lazovich, J. Harer, O. Ozdemir, P. Elingwood, M. McConley. Automated Vulnerability Detection in Source Code Using Deep Representation Learning. IEEE International Conference on Machine Learning and Applications (ICMLA). December 2018. [pdf , arXiv]
  2. M. Alemohammad, J. Shin, D. N. Tran, J. R. Stroud, S. P. Chin, T. D. Tran, M. A. Foster. Widefield Compressive Multiphoton Microscopy. Optics letters 43 (12), 2989-2992. 2018. [pdf]
  3. T. Xiong, J. Zhang, C. Martinez-Rubio, C. S. Thakur, E. N. Eskandar, S. P. Chin, R. Etienne-Cummings, T. D. Tran. An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting. IEEE Transactions on Neural Systems and Rehabiliation Engineering, vol. 26, no. 6, pp. 1121-1130. 2018. [pdf]
  4. X. Wang, J. Zhang, T. Xiong, T. D. Tran, S. P. Chin, R. Etienne-Cummings. Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4. 2018. [pdf]
  5. A. Rangamani, A. Mukherjee, A. Basu, A. Arora, T. Ganapathi, S. P. Chin, T. D. Tran. Sparse Coding and Autoencoders. IEEE International Symposium on Information Theory (ISIT), pp. 36-40. 2018. [pdf]
  6. J. A. Harer, O. Ozdemir, T. Lazovich, C. P. Reale, R. L. Russell, L. Y. Kim, S. P. Chin. Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR abs/1805.07475. 2018. [pdf]
  7. X. Wang, Q. Zhou, J. Harer, G. Brown, S. Qiu, Z. Dou, J. Wang, A. Hinton, C. A. Gonzalez, S. P. Chin. Deep learning-based classification and anomaly detection of side-channel signals. Cyber Sensing. 2018. [pdf]
  8. J. A. Harer, L. Y. Kim, R. L. Russell, O. Ozdemir, L. R. Kosta, A. Rangamani, L. H. Hamilton, G. I. Centeno, J. R. Key, P. M. Ellingwood, M. W. McConley, J. M. Opper, S. P. Chin, T. Lazovich. Automated software vulnerability detection with machine learning. CoRR abs/1803.04497. 2018.[pdf]


  1. X. Zhou, C. Wang, Y. Xu, X. Wang, S. P. Chin. Domain Specific Inpainting With Concurrently Pretrained Generative Adversarial Networks. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1185-1189. 2017. [pdf]
  2. W. Ma, Z. Ni, K. Cao, X. Li, S. P. Chin. Seq2Tree: A Tree-Structured Extension of LSTM Network. 2017. [pdf]
  3. D. Yang, T. Xiong, D. Xu, S. K. Zhou, Z. Xu, M. Chen, J. H. Park, S. Grbic, T. D. Tran, S. P. Chin, D. Metaxas, D. Comaniciu. Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 498-506. 2017. [pdf]
  4. D. Yang, T. Xiong, D. Xu, Q. Huang, D. Liu, S. K. Zhou, Z. Xu, J. Park, M. Chen, T. D. Tran, S. P. Chin, D. Metaxas, D. Comaniciu. Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network With Message Passing and Sparsity Regularization. International Conference on Information Processing in Medical Imaging (IPMI). 2017. [pdf]
  5. S. P. Chin, J. Cohen, A. Albin, M. Hayvanovych, E. Reilly, G. Brown, J. Harer. A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Transactions on Computational Social Systems, vol. 4, no. 2, pp. 40-51, 2017. [pdf]
  6. Live Demonstration: A Compact All-CMOS Spatiotemporal Compressed Sensing Video Camera. IEEE International Symposium on Circuits and Systems (ISCAS). 2017. [pdf]
  7. C. Einstein, S. P. Chin. Automatic Similarity Detection and Clustering of Data. Cyber Sensing. 2017. [pdf]
  8. D. N. Tran, S. P. Chin, T. D. Tran. A Provable Nonconvex Model for Factoring Nonnegative Matrices. IEEE Acoustics, Speech and Signal Processing (ICASSP), pp. 2262-2266. 2017. [pdf]
  9. T. Xiong, J. Rattray, J. Zhang, C. S. Thakur, S. P. Chin, T. D. Tran. Spatiotemporal Compressed Sensing for Video Compression. IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 289-292. 2017.[pdf]