Sang Peter Chin

According to our database1, Sang Peter Chin authored at least 49 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
CoRR, 2019

NodeDrop: A Condition for Reducing Network Size without Effect on Output.
CoRR, 2019

JOBS: Joint-Sparse Optimization from Bootstrap Samples.
Proceedings of the IEEE International Symposium on Information Theory, 2019

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, 2019

Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression.
CoRR, 2018

JOBS: Joint-Sparse Optimization from Bootstrap Samples.
CoRR, 2018

Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks.
CoRR, 2018

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks.
CoRR, 2018

Automated software vulnerability detection with machine learning.
CoRR, 2018

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparse Coding and Autoencoders.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Defensive dropout for hardening deep neural networks under adversarial attacks.
Proceedings of the International Conference on Computer-Aided Design, 2018

A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
A Mathematical Analysis of Network Controllability Through Driver Nodes.
IEEE Trans. Comput. Social Systems, 2017

Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries.
CoRR, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
CoRR, 2017

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Live demonstration: A compact all-CMOS spatiotemporal compressed sensing video camera.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
Proceedings of the Information Processing in Medical Imaging, 2017

A provable nonconvex model for factoring nonnegative matrices.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Domain specific inpainting with concurrently pretrained generative adversarial networks.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface.
IEEE Trans. Biomed. Circuits and Systems, 2016

Topological and statistical behavior classifiers for tracking applications.
IEEE Trans. Aerospace and Electronic Systems, 2016

Neuromorphic sampling on the SpiNNaker and parallella chip multiprocessors.
Proceedings of the IEEE 7th Latin American Symposium on Circuits & Systems, 2016

Low-rank matrices recovery via entropy function.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Partial face recognition: A sparse representation-based approach.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Compressive coding via random replicate mirror.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Predicting local field potentials with recurrent neural networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
An unsupervised dictionary learning algorithm for neural recordings.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Local sensing with global recovery.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Nonnegative matrix factorization with gradient vertex pursuit.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Neural signal processing and closed-loop control algorithm design for an implanted neural recording and stimulation system.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Markov Chain Monte Carlo inference on graphical models using event-based processing on the SpiNNaker neuromorphic architecture.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

High-speed compressed sensing measurement using spectrally-encoded ultrafast laser pulses.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Compressed sensing block-wise exposure control algorithm using optical flow estimation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

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

2014
An Efficient and Compact Compressed Sensing Microsystem for Implantable Neural Recordings.
IEEE Trans. Biomed. Circuits and Systems, 2014

Energy-Efficient Multi-Mode Compressed Sensing System for Implantable Neural Recordings.
IEEE Trans. Biomed. Circuits and Systems, 2014

Topological and Statistical Behavior Classifiers for Tracking Applications.
CoRR, 2014

A dictionary learning algorithm for multi-channel neural recordings.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Structured sparse representation with low-rank interference.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Reconstruction of neural action potentials using signal dependent sparse representations.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Video frame interpolation via weighted robust principal component analysis.
Proceedings of the IEEE International Conference on Acoustics, 2013

Energy-efficient two-stage Compressed Sensing method for implantable neural recordings.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Real Time Compressive Sensing Video Reconstruction in Hardware.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

Chemical plume detection in hyperspectral imagery via joint sparse representation.
Proceedings of the 31st IEEE Military Communications Conference, 2012


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