Sang Peter Chin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 41

Top Topics

Negative Matrix Factorization

Pursuit Algorithm

Compressed Sensing

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Publications

Xiao Zhou, Akshara Rao Balachandra, Michael F. Romano, Sang Peter Chin, Rhoda Au, Vijaya B. Kolachalama
Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals. IEEE Access 12 (2024)
Shan Huang, Xiao Zhou, Sang Peter Chin
Application of Seq2Seq Models on Code Correction. Frontiers Artif. Intell. 4 (2021)
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang Peter Chin, Trac D. Tran
A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP (2021)
Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Sang Peter Chin
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning. CoRR (2021)
Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Sang Peter Chin
Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. ICMLA (2021)
Shan Huang, Xiao Zhou, Sang Peter Chin
A Study of Pyramid Structure for Code Correction. CoRR (2020)
Louis Jensen, Jacob Harer, Sang Peter Chin
NodeDrop: A Method for Finding Sufficient Network Architecture Size. IJCNN (2020)
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Sang Peter Chin
Block Switching: A Stochastic Approach for Deep Learning Security. CoRR (2020)
Xavier F. Cadet, Réda Dehak, Sang Peter Chin, Miloud Bessafi
Non-Linear Dynamics Analysis of Protein Sequences. Application to CYP450. Entropy 21 (9) (2019)
Luoluo Liu, Sang Peter Chin, Trac D. Tran
Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression. CISS (2019)
Luoluo Liu, Sang Peter Chin, Trac D. Tran
JOBS: Joint-Sparse Optimization from Bootstrap Samples. ISIT (2019)
Xiao 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. CoRR (2019)
Louis Jensen, Jacob Harer, Sang Peter Chin
NodeDrop: A Condition for Reducing Network Size without Effect on Output. CoRR (2019)
Xiao 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. IJCAI (2019)
Luoluo Liu, Sang Peter Chin, Trac D. Tran
JOBS: Joint-Sparse Optimization from Bootstrap Samples. CoRR (2018)
Arun Asokan 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. GlobalSIP (2018)
Jacob A. 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, Marc W. McConley, Jeffrey M. Opper, Sang Peter Chin, Tomo Lazovich
Automated software vulnerability detection with machine learning. CoRR (2018)
Luoluo Liu, Sang Peter Chin, Trac D. Tran
Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression. CoRR (2018)
Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang Peter Chin, Trac D. Tran
Sparse Coding and Autoencoders. ISIT (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. NeurIPS (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. CoRR (2018)
Xiao 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. ISCAS (2018)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR (2018)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD (2018)
Sang Peter Chin, Trac D. Tran, Dung N. Tran, Akshay Rangamani
A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations. ICASSP (2018)
Tao Xiong, John Rattray, Jie Zhang, Chetan Singh Thakur, Sang Peter Chin, Trac D. Tran, Ralph Etienne-Cummings
Spatiotemporal compressed sensing for video compression. MWSCAS (2017)
Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) (2017)
Akshay Rangamani, Anirbit Mukherjee, Ashish Arora, Tejaswini Ganapathy, Amitabh Basu, Sang Peter Chin, Trac D. Tran
Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. CoRR (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. ISCAS (2017)
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR (2017)
Dung N. Tran, Sang Peter Chin, Trac D. Tran
A provable nonconvex model for factoring nonnegative matrices. ICASSP (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 Trans. Comput. Soc. Syst. 4 (2) (2017)
Xiao Zhou, Chengchen Wang, Yiteng Xu, Xiao Wang, Sang Peter Chin
Domain specific inpainting with concurrently pretrained generative adversarial networks. GlobalSIP (2017)
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI (2017)
Daniel R. Mendat, Sang Peter Chin, Steve B. Furber, Andreas G. Andreou
Neuromorphic sampling on the SpiNNaker and parallella chip multiprocessors. LASCAS (2016)
Dung N. Tran, Shuai Huang, Sang Peter Chin, Trac D. Tran
Low-rank matrices recovery via entropy function. ICASSP (2016)
Dung N. Tran, Luoluo Liu, Trac D. Tran, Sang Peter Chin, Jeffrey Korn, Eric T. Hoke
Compressive coding via random replicate mirror. GlobalSIP (2016)
Paul Bendich, Sang Peter Chin, Jesse Clarke, 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 Trans. Aerosp. Electron. Syst. 52 (6) (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 Trans. Biomed. Circuits Syst. 10 (4) (2016)
Luoluo Liu, Trac D. Tran, Sang Peter Chin
Partial face recognition: A sparse representation-based approach. ICASSP (2016)
Louis Y. Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D. Parks, Alik Widge, Emad N. Eskandar, Darin D. Dougherty, Sang Peter Chin
Predicting local field potentials with recurrent neural networks. EMBC (2016)
Dung N. Tran, Tao Xiong, Sang Peter Chin, Trac D. Tran
Nonnegative matrix factorization with gradient vertex pursuit. ICASSP (2015)
Tao Xiong, Jie Zhang, Yuanming Suo, Dung N. Tran, Ralph Etienne-Cummings, Sang Peter Chin, Trac D. Tran
An unsupervised dictionary learning algorithm for neural recordings. ISCAS (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. ASONAM (2015)
Tao Xiong, Jie Zhang, Sang Peter Chin, Trac D. Tran, Ralph Etienne-Cummings
Compressed sensing block-wise exposure control algorithm using optical flow estimation. BioCAS (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. CISS (2015)
Dung N. Tran, Duyet N. Tran, Sang Peter Chin, Trac D. Tran
Local sensing with global recovery. ICIP (2015)
Daniel R. Mendat, Sang Peter Chin, Steve B. Furber, Andreas G. Andreou
Markov Chain Monte Carlo inference on graphical models using event-based processing on the SpiNNaker neuromorphic architecture. CISS (2015)
Lei H. Hamilton, Marc W. McConley, Kai Angermueller, David Goldberg, Massimiliano Corba, Louis Y. 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. EMBC (2015)
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 Trans. Biomed. Circuits Syst. 8 (4) (2014)
Minh Dao, Yuanming Suo, Sang Peter Chin, Trac D. Tran
Structured sparse representation with low-rank interference. ACSSC (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. BioCAS (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 Trans. Biomed. Circuits Syst. 8 (5) (2014)
Paul Bendich, Sang Peter Chin, Jesse Clarke, Jonathan deSena, John Harer, Elizabeth Munch, Andrew Newman, David Porter, David Rouse, Nate Strawn, Adam Watkins
Topological and Statistical Behavior Classifiers for Tracking Applications. CoRR (2014)
Jie Zhang, Yuanming Suo, Srinjoy Mitra, Sang Peter Chin, Trac D. Tran, Refet Firat Yazicioglu, Ralph Etienne-Cummings
Reconstruction of neural action potentials using signal dependent sparse representations. ISCAS (2013)
Yuanming Suo, Jie Zhang, Ralph Etienne-Cummings, Trac D. Tran, Sang Peter Chin
Energy-efficient two-stage Compressed Sensing method for implantable neural recordings. BioCAS (2013)
Minh Dao, Yuanming Suo, Sang Peter Chin, Trac D. Tran
Video frame interpolation via weighted robust principal component analysis. ICASSP (2013)
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 J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Minh Dao, Dzung T. Nguyen, Trac D. Tran, Sang Peter Chin
Chemical plume detection in hyperspectral imagery via joint sparse representation. MILCOM (2012)