2018

  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]

2017

  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]

2016

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2015

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