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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.