Publications

Hieu Le, Dieu-Thu Le, Verena Weber, Chris Church, Kay Rottmann, Melanie Bradford, Sang (Peter) Chin. Semi-supervised adversarial text generation based on seq2seq models. Empirical Methods in Natural Language Processing (EMNLP), 2022.

Trung Dang, Simon Kornblith, Huy Thong Nguyen, Sang (Peter) Chin, Maryam Khademi. A Study on Self-Supervised Object Detection Pretraining. arXiv, 2022.

Trung Dang, Dung Tran, Sang (Peter) Chin, Kazuhito Koishida. Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, Derry Wijaya, Elizabeth Coppock, Sang (Peter) Chin. Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach. arXiv, 2022.

Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Sang (Peter) Chin, Françoise Beaufays. A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Davis Issac, Andrew Wood, Daniel Waddington, Sang (Peter) Chin, Tobias Friedrich. Improved And Optimized Drug Repurposing For The SARS-CoV-2 Pandemic. 2022.

Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Sang (Peter) Chin, Dilip Varadarajan. Collusion Detection in Team-Based Multiplayer Games. arXiv, 2022.

Andrew Wood, Moshik Hershcovitch, Daniel Waddington, Sarel Cohen, Sang (Peter) Chin. Non-Volatile Memory Accelerated Posterior Estimation. arXiv, 2022.

Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Sang (Peter) Chin, Trung Dang, Andrew Wood. What Is Learned in Knowledge Graph Embeddings?. Complex Networks & Their Applications X, 2022.

Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso Poggio, Sang (Peter) Chin. Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. Complex Networks & Their Applications X, 2022.

Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Andrew Wood, Daniel Waddington, Sang (Peter) Chin, Tobias Friedrich. Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. Complex Networks & Their Applications X, 2022.

Laura Greige, Sang (Peter) Chin. Deep Reinforcement Learning for FlipIt Security Game. Complex Networks & Their Applications X, 2022.

Ryan Yu, Andrew Wood, Sarel Cohen, Moshick Hershcovitch, Daniel Waddington, Sang (Peter) Chin. Biologically Plausible Complex-Valued Neural Networks and Model Optimization. Artificial Intelligence Applications and Innovations, 2022.

Hieu Le, Andrew Wood, Sylee Dandekar, Sang (Peter) Chin. Neural Network Optimization with Biologically Inspired Low-Dimensional Manifold Learning. 2021 International Conference on Computational Science and Computational Intelligence (CSCI), 2021.

Xiao Zhou, Xiao (Kieran) Wang, Gavin Brown, Chengchen Wang, Sang (Peter) Chin. Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.

Louis Jensen, Jayme Fosa, Ben Teitelbaum, Sang (Peter) Chin. How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.

Hieu Le, Hans Walker, Dung Tran, Sang (Peter) Chin. Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. 2021 International Conference on Computational Science and Computational Intelligence (CSCI), 2021.

Sang (Peter) Chin, Emily Do, Cody Doucette, Brandon Kalashian, David Last, Nathan Lenz, Edward Lu, Devon Minor, Elias Noyes, Colleenn Rock, Nathaniel Soule, Nicholas Walczak, Dave Canestrare. TAK-ML: Applying Machine Learning at the Tactical Edge. MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), 2021.

Yida Xin, Henry Lieberman, Sang (Peter) Chin. PATCHCOMM: Using Commonsense Knowledge to Guide Syntactic Parsers. Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021.

Andrew Wood, Moshik Hershcovitch, Daniel Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Will Zong, Sang (Peter) Chin. Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021.

Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung Phan, Sang (Peter) Chin, Trac D. Tran. A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

Xiao (Kieran) Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Sang (Peter) Chin. Substitutional Neural Image Compression. arXiv, 2021.

Shan Huang, Xiao Zhou, Sang (Peter) Chin. Application of Seq2Seq Models on Code Correction. Frontiers in Artificial Intelligence, 2021.

Yida Xin, Henry Lieberman, Sang (Peter) Chin. Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge. arXiv, 2021.

Peilun Dai, Sang (Peter) Chin. Training Many-to-Many Recurrent Neural Networks with Target Propagation. Artificial Neural Networks and Machine Learning – ICANN 2021, 2021.

Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Sang (Peter) Chin, Françoise Beaufays. Revealing and Protecting Labels in Distributed Training. Advances in Neural Information Processing Systems, 2021.

Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal, Sang (Peter) Chin. RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021.

Siyue Wang, Pu Zhao, Xiao (Kieran) Wang, Sang (Peter) Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin. Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. 32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021, 2021.

Louis Jensen, Jacob Harer, Sang (Peter) Chin. NodeDrop: A Method for Finding Sufficient Network Architecture Size. 2020 International Joint Conference on Neural Networks (IJCNN), 2020.

Xiao (Kieran) Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Sang (Peter) Chin. AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

Andrew Wood, Ali Sydney, Sang (Peter) Chin, Bishal Thapa, Ryan Ross. GymFG: A Framework with a Gym Interface for FlightGear. arXiv, 2020.

Xiao (Kieran) Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Sang (Peter) Chin. Block Switching: A Stochastic Approach for Deep Learning Security. arXiv, 2020.

Andrzej Banburski, Anshula Gandhi, Simon Alford, Sylee Dandekar, Sang (Peter) Chin, tomaso a poggio. Dreaming with ARC. Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020.

Jasper R. Stroud, Luoluo Liu, Sang (Peter) Chin, Trac D. Tran, Mark A. Foster. Optical coherence tomography using physical domain data compression to achieve MHz A-scan rates. Opt. Express, 2019.

Jacob Harer, Chris Reale, Sang (Peter) Chin. Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data. arXiv, 2019.

Xiao (Kieran) Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang (Peter) Chin. Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, 2019.

Luoluo Liu, Sang (Peter) Chin, Trac D. Tran. JOBS: Joint-Sparse Optimization from Bootstrap Samples. 2019 IEEE International Symposium on Information Theory (ISIT), 2019.

Louis Jensen, G. Brown, Xiao (Kieran) Wang, Jacob Harer, Sang (Peter) Chin. Deep Learning for Minimal-context Block Tracking through Side-channel Analysis. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.

Luoluo Liu, Sang (Peter) Chin, Trac D. Tran. Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression. 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 2019.

Jaewook Shin, Dung N. Tran, Jasper R. Stroud, Sang (Peter) Chin, Trac D. Tran, Mark A. Foster. A minimally invasive lens-free computational microendoscope. Science Advances, 2019.

Arun Nair, Luoluo Liu, Akshay Rangamani, Sang (Peter) Chin, Muyinatu A. Lediju Bell, Trac D. Tran. RECONSTRUCTION-FREE DEEP CONVOLUTIONAL NEURAL NETWORKS FOR PARTIALLY OBSERVED IMAGES. 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.

Siyue Wang, Xiao (Kieran) Wang, Pu Zhao, Wujie Wen, David Kaeli, Sang (Peter) Chin, Xue Lin. Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018.

Jacob Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Erik Antelman, Alan Mackay, Marc W. McConley, Jeffrey M. Opper, Sang (Peter) Chin, Tomo Lazovich. Automated software vulnerability detection with machine learning. arXiv, 2018.

Milad Alemohammad, Jaewook Shin, Dung N. Tran, Jasper R. Stroud, Sang (Peter) Chin, Trac D. Tran, Mark A. Foster. Widefield compressive multiphoton microscopy. Opt. Lett., 2018.

Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang (Peter) Chin, Trac D. Tran. Sparse Coding and Autoencoders. 2018 IEEE International Symposium on Information Theory (ISIT), 2018.

Tao Xiong, Jie Zhang, Clarissa Martinez-Rubio, Chetan S. Thakur, Emad N. Eskandar, Sang (Peter) Chin, Ralph Etienne-Cummings, Trac D. Tran. An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018.

Xiao (Kieran) Wang, Jie Zhang, Tao Xiong, Trac Duy Tran, Sang (Peter) Chin, Ralph Etienne-Cummings. Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing. 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018.

Sang (Peter) Chin, Trac D. Tran, Dung Tran, Akshay Rangamani. A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

Weicheng Ma, Kai Cao, Xiang Li, Sang (Peter) Chin. Tree Structured Multimedia Signal Modeling. Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, Florida, USA. May 21-23 2018, 2018.

Weicheng Ma, Kai Cao, Zhaoheng Ni, Sang (Peter) Chin, Xiang Li. Sound Signal Processing with Seq2Tree Network. Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018, 2018.

Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Sang (Peter) Chin. Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. Proceedings of the 32nd International Conference on Neural Information Processing Systems, 2018.

Xiao (Kieran) Wang, Ken Zhou, Jacob Harer, Gavin Brown, Shangran Qiu, Zhi Dou, John Wang, Alan Hinton, Carlos Aguayo Gonzalez, Sang (Peter) Chin. Deep learning-based classification and anomaly detection of side-channel signals. Cyber Sensing 2018, 2018.

Xiao Zhou, Chengchen Wang, Yiteng Xu, Xiao (Kieran) Wang, Sang (Peter) Chin. Domain specific inpainting with concurrently pretrained generative adversarial networks. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.

Tao Xiong, John Rattray, Jie Zhang, Chetan Singh Thakur, Sang (Peter) Chin, Trac D. Tran, Ralph Etienne-Cummings. Spatiotemporal compressed sensing for video compression. 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017.

Sang (Peter) Chin, Jonathan Cohen, Alison Albin, Mykola Hayvanovych, Elizabeth Reilly, Gavin Brown, Jacob Harer. A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Transactions on Computational Social Systems, 2017.

Tao Xiong, Jie Zhang, Chetan Singh Thakur, John Rattray, Sang (Peter) Chin, Trac D. Tran, Ralph Etienne-Cummings. Live demonstration: A compact all-CMOS spatiotemporal compressed sensing video camera. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017.

Dung N. Tran, Sang (Peter) Chin, Trac D. Tran. A provable nonconvex model for factoring nonnegative matrices. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

Dong Yang, Tao Xiong, Daguang Xu, S. Kevin Zhou, Zhoubing Xu, Mingqing Chen, JinHyeong Park, Sasa Grbic, Trac D. Tran, Sang (Peter) Chin, Dimitris Metaxas, Dorin Comaniciu. Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 2017.

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, S. Kevin Zhou, Zhoubing Xu, JinHyeong Park, Mingqing Chen, Trac D. Tran, Sang (Peter) Chin, Dimitris Metaxas, Dorin Comaniciu. Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. Information Processing in Medical Imaging, 2017.

Craig Einstein, Sang (Peter) Chin. Automatic similarity detection and clustering of data. Cyber Sensing 2017, 2017.

Paul Bendich, Sang (Peter) Chin, Jesse Clark, Jonathan Desena, John Harer, Elizabeth Munch, Andrew Newman, David Porter, David Rouse, Nate Strawn, Adam Watkins. Topological and statistical behavior classifiers for tracking applications. IEEE Transactions on Aerospace and Electronic Systems, 2016.

Akshay Rangamani, Tao Xiong, Arun Nair, Trac Tran, Sang (Peter) Chin. Landmark Detection and Tracking in Ultrasound using a CNN-RNN Framework. 2016.

Dung N. Tran, Luoluo Liu, Trac D. Tran, Sang (Peter) Chin, Jeffrey Korn, Eric T. Hoke. Compressive coding via random replicate mirror. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.

Louis Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D. Parks, Alik Widge, Emad Eskandar, Darin Dougherty, Sang (Peter) Chin. Predicting local field potentials with recurrent neural networks. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.

Xilin Liu, Milin Zhang, Tao Xiong, Andrew G. Richardson, Timothy H. Lucas, Sang (Peter) Chin, Ralph Etienne-Cummings, Trac D. Tran, Jan Van der Spiegel. A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface. IEEE Transactions on Biomedical Circuits and Systems, 2016.

Jie Zhang, Tao Xiong, Trac Tran, Sang (Peter) Chin, Ralph Etienne-Cummings. Compact all-CMOS spatiotemporal compressive sensing video camera with pixel-wise coded exposure. Opt. Express, 2016.

Luoluo Liu, Trac D. Tran, Sang (Peter) Chin. Partial face recognition: A sparse representation-based approach. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

Dung N. Tran, Sang (Peter) Chin, Trac D. Tran, Shuai Huang. Low-rank matrices recovery via entropy function. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

Daniel R. Mendat, Sang (Peter) Chin, Steve Furber, Andreas G. Andreou. Neuromorphic sampling on the SpiNNaker and parallella chip multiprocessors. 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), 2016.

Guevara Noubir, Muriel Medard, Sang (Peter) Chin. Wi(Deband)-Fi: A Proposal for an Opportunistic Wideband Architecture Based on Wi-Fi. Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, 2016.

Bryan Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. Compressive high speed flow microscopy with motion contrast (Conference Presentation). High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 2016.

Jasper R. Stroud, Bryan T. Bosworth, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. 72 MHz A-scan optical coherence tomography using continuous high-rate photonically-enabled compressed sensing (CHiRP-CS). Conference on Lasers and Electro-Optics, 2016.

Tao Xiong, Jie Zhang, Sang (Peter) Chin, Trac D. Tran, Ralph Etienne-Cummings. Compressed sensing block-wise exposure control algorithm using optical flow estimation. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015.

Dung N. Tran, Duyet N. Tran, Sang (Peter) Chin, Trac D. Tran. Local sensing with global recovery. 2015 IEEE International Conference on Image Processing (ICIP), 2015.

Lei Hamilton, Marc McConley, Kai Angermueller, David Goldberg, Massimiliano Corba, Louis Kim, James Moran, Philip D. Parks, Sang (Peter) Chin, Alik S. Widge, Darin D. Dougherty, Emad N. Eskandar. Neural signal processing and closed-loop control algorithm design for an implanted neural recording and stimulation system. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.

Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. Ultrawideband compressed sensing of arbitrary multi-tone sparse radio frequencies using spectrally encoded ultrafast laser pulses. Opt. Lett., 2015.

Sang (Peter) Chin, Anup Rao, Van Vu. Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery. Proceedings of The 28th Conference on Learning Theory, 2015.

Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. Ultrawideband RF compressed sensing using spectrally-encoded ultrafast laser pulses. 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015.

Tao Xiong, Jie Zhang, Yuanming Suo, Dung N. Tran, Ralph Etienne-Cummings, Sang (Peter) Chin, Tran D. Tran. An unsupervised dictionary learning algorithm for neural recordings. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015.

Dung N. Tran, Tao Xiong, Sang (Peter) Chin, Trac D. Tran. Nonnegative matrix factorization with gradient vertex pursuit. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015.

Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. High-speed flow microscopy using compressed sensing with ultrafast laser pulses. Opt. Express, 2015.

Jie Zhang, Srinjoy Mitra, Yuanming Suo, Andrew Cheng, Tao Xiong, Frederic Michon, Marleen Welkenhuysen, Fabian Kloosterman, Sang (Peter) Chin, Steven Hsiao, Trac D. Tran, Firat Yazicioglu, Ralph Etienne-Cummings. A closed-loop compressive-sensing-based neural recording system. Journal of Neural Engineering, 2015.

Daniel R. Mendat, Sang (Peter) Chin, Steve Furber, Andreas G. Andreou. Markov Chain Monte Carlo inference on graphical models using event-based processing on the SpiNNaker neuromorphic architecture. 2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015.

Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. High-speed compressed sensing measurement using spectrally-encoded ultrafast laser pulses. 2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015.

Minh D. Dao, Akshay Rangamani, Sang (Peter) Chin, Nam P. Nguyen, Trac D. Tran. Targeted Dot Product Representation for Friend Recommendation in Online Social Networks. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015.

Andrew Mastin, Patrick Jaillet, Sang (Peter) Chin. Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. Algorithms and Computation, 2015.

David Rouse, Adam Watkins, David Porter, John Harer, Paul Bendich, Nate Strawn, Elizabeth Munch, Jonathan Desena, Jesse Clarke, Jeff Gilbert, Sang (Peter) Chin, Andrew Newman. Feature-aided multiple hypothesis tracking using topological and statistical behavior classifiers. Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 2015.

Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. Continuous high-rate photonically-enabled compressed sensing (CHiRP-CS) for high speed flow microscopy. Imaging and Applied Optics 2015, 2015.

Jasper R. Stroud, Bryan T. Bosworth, Dung N. Tran, Timothy P. McKenna, Thomas R. Clark, Trac D. Tran, Sang (Peter) Chin, Mark A. Foster. Continuous 119.2-GSample/s photonic compressed sensing of sparse microwave signals. CLEO: 2015, 2015.

Bryan T. Bosworth, Jasper Stroud, Dung N. Tran, Trac Tran, Sang (Peter) Chin, Mark A. Foster. Compressive ultrahigh-speed continuous imaging using spectrally structured ultrafast laser pulses. Frontiers in Ultrafast Optics: Biomedical, Scientific, and Industrial Applications XV, 2015.

B. T. Bosworth, J. R. Stroud, D. N. Tran, T. D. Tran, Sang (Peter) Chin, M. A. Foster. Compressive 39.6-gigapixel/s continuous imaging using spectrally-structured ultrafast laser pulses. CLEO: 2015, 2015.

Minh Dao, Yuanming Suo, Sang (Peter) Chin, Trac D. Tran. Structured sparse representation with low-rank interference. 2014 48th Asilomar Conference on Signals, Systems and Computers, 2014.

Yuanming Suo, Jie Zhang, Tao Xiong, Sang (Peter) Chin, Ralph Etienne-Cummings, Trac D. Tran. Energy-Efficient Multi-Mode Compressed Sensing System for Implantable Neural Recordings. IEEE Transactions on Biomedical Circuits and Systems, 2014.

Tao Xiong, Yuanming Suo, Jie Zhang, Siwei Liu, Ralph Etienne-Cummings, Sang (Peter) Chin, Trac D. Tran. A dictionary learning algorithm for multi-channel neural recordings. 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 2014.

Jie Zhang, Yuanming Suo, Srinjoy Mitra, Sang (Peter) Chin, Steven Hsiao, Refet Firat Yazicioglu, Trac D. Tran, Ralph Etienne-Cummings. An efficient and compact compressed sensing microsystem for implantable neural recordings. IEEE Transactions on Biomedical Circuits and Systems, 2014.

Dung N. Tran, Sang (Peter) Chin. Geometric multi-resolution analysis based classification for high dimensional data. Cyber Sensing 2014, 2014.

Edward Boehnlein, Sang (Peter) Chin, Amit Sinha, Linyuan Lu. Computing Diffusion State Distance Using Green's Function and Heat Kernel on Graphs. Algorithms and Models for the Web Graph, 2014.

Yuanming Suo, Jie Zhang, Ralph Etienne-Cummings, Trac D. Tran, Sang (Peter) Chin. Energy-efficient two-stage Compressed Sensing method for implantable neural recordings. 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2013.

Minh Dao, Yuanming Suo, Sang (Peter) Chin, Trac Tran. Video frame interpolation via weighted robust principal component analysis. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.

Jie Zhang, Yuanming Suo, Srinjoy Mitra, Sang (Peter) Chin, Trac. D. Tran, Firat Yazicioglu, Ralph Etienne-Cummings. Reconstruction of neural action potentials using signal dependent sparse representations. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013.

Guangliang Chen, Mark Iwen, Sang (Peter) Chin, Mauro Maggioni. A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. 2012 Visual Communications and Image Processing, 2012.

Minh Dao, Dzung Nguyen, Trac Tran, Sang (Peter) Chin. Chemical plume detection in hyperspectral imagery via joint sparse representation. MILCOM 2012 - 2012 IEEE Military Communications Conference, 2012.

Garrick Orchard, Jie Zhang, Yuanming Suo, Minh Dao, Dzung T. Nguyen, Sang (Peter) Chin, Christoph Posch, Trac D. Tran, Ralph Etienne-Cummings. Real Time Compressive Sensing Video Reconstruction in Hardware. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012.

Sang (Peter) Chin, Elizabeth Reilly, Linyuan Lu. Finding structures in large-scale graphs. Cyber Sensing 2012, 2012.

Sang (Peter) Chin. Application of Game Theory to Sensor Resource Management. Johns Hopkins APL technical digest, 2012.

Daniel J. Rogers, Radmil Elkis, Sang (Peter) Chin, Michael A. Wayne. Compressive RF sensing using a physical source of entropy. 2011 IEEE Statistical Signal Processing Workshop (SSP), 2011.

Dzung T. Nguyen, Yi Chen, Trac D. Tran, Sang (Peter) Chin. Simultaneous sparse recovery for unsupervised hyperspectral unmixing. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 2011.

Sang (Peter) Chin. On application of game theory for understanding trust in networks. 2009 International Symposium on Collaborative Technologies and Systems, 2009.

Sang (Peter) Chin. Game-theoretic homological sensor resource management for SSA. Sensors and Systems for Space Applications III, 2009.

Sang (Peter) Chin. Game-theoretic High-Level Distributed Fusion. BAE SYSTEMS NATIONAL SECURITY SOLUTION INC BURLINGTON MA, 2008.

J. Hill, Sang (Peter) Chin. Opportunistic Sensor Resource Management for Extended Conditions. Proceedings of 8th International Conference on Fusions, 2007.

Sang (Peter) Chin, S. Laprise, K. C. Chang. Filtering Techniques Applied to Dynamic Games and Their Applications. Proceedings of 2007 National Symposium on Sensor and Data Fusion, 2007.

Sang (Peter) Chin, S. Laprise, K. C. Chang. Game-Theoretic Model-Based Approach to Higher-Level Fusion with Application to Sensor Resource Management. Proceedings of 2006 National Symposium on Sensor and Data Fusion, 2006.