Sang (Peter) Chin

Orcid: 0000-0002-1913-4223

Affiliations:
  • Dartmouth College, School of Engineering, Hanover, NH, USA
  • Charles Stark Draper Laboratory, Cambridge, MA, USA (former)
  • Boston University, Department of Computer Science, MA, USA (former)
  • Johns Hopkins University, Applied Physics Laboratory, Baltimore, MD, USA (former)
  • Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 1998)


According to our database1, Sang (Peter) Chin authored at least 108 papers between 2012 and 2024.

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Bibliography

2024
Reward-RAG: Enhancing RAG with Reward Driven Supervision.
CoRR, 2024

Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference.
CoRR, 2024

AAPM: Large Language Model Agent-based Asset Pricing Models.
CoRR, 2024

Tree Search for Simultaneous Move Games via Equilibrium Approximation.
CoRR, 2024

Lossless and Near-Lossless Compression for Foundation Models.
CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR, 2024

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals.
IEEE Access, 2024

Bridging Neural and Symbolic Representations with Transitional Dictionary Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Detecting Continuous Gravitational Waves Using Generated Training Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Generalizing Topological Graph Neural Networks with Paths.
CoRR, 2023

On the Transition from Neural Representation to Symbolic Knowledge.
CoRR, 2023

Adversarial Transformer Language Models for Contextual Commonsense Inference.
CoRR, 2023

ANEDA: Adaptable Node Embeddings for Shortest Path Distance Approximation.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Deep Distance Sensitivity Oracles.
Proceedings of the Complex Networks & Their Applications XII, 2023

Improving Low-Latency Mono-Channel Speech Enhancement by Compensation Windows in STFT Analysis.
Proceedings of the Complex Networks & Their Applications XII, 2023

Learned Approximate Distance Labels for Graphs.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations.
CoRR, 2022

Deep Distance Sensitivity Oracles.
CoRR, 2022

A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks.
CoRR, 2022

Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach.
CoRR, 2022

Non-Volatile Memory Accelerated Posterior Estimation.
CoRR, 2022

Substitutional Neural Image Compression.
Proceedings of the Picture Coding Symposium, 2022

Biologically Plausible Complex-Valued Neural Networks and Model Optimization.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT.
Proceedings of the IEEE International Conference on Acoustics, 2022

Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Fast Crash-Consistent Cluster Checkpointing.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Semi-supervised Adversarial Text Generation based on Seq2Seq models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

A Study on Self-Supervised Object Detection Pretraining.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Collusion Detection in Team-Based Multiplayer Games.
Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021
Application of Seq2Seq Models on Code Correction.
Frontiers Artif. Intell., 2021

Substitutional Neural Image Compression.
CoRR, 2021

Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge.
CoRR, 2021

Revealing and Protecting Labels in Distributed Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TAK-ML: Applying Machine Learning at the Tactical Edge.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

PATCHCOMM: Using Commonsense Knowledge to Guide Syntactic Parsers.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

A Scale Invariant Measure of Flatness for Deep Network Minima.
Proceedings of the IEEE International Conference on Acoustics, 2021

Training Many-to-Many Recurrent Neural Networks with Target Propagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Neural Network Optimization with Biologically Inspired Low-Dimensional Manifold Learning.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Deep Reinforcement Learning for FlipIt Security Game.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

What Is Learned in Knowledge Graph Embeddings?
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory.
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
GymFG: A Framework with a Gym Interface for FlightGear.
CoRR, 2020

Reinforcement Learning in FlipIt.
CoRR, 2020

Block Switching: A Stochastic Approach for Deep Learning Security.
CoRR, 2020

A Study of Pyramid Structure for Code Correction.
CoRR, 2020

NodeDrop: A Method for Finding Sufficient Network Architecture Size.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Non-Linear Dynamics Analysis of Protein Sequences. Application to CYP450.
Entropy, 2019

Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data.
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
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

Sound Signal Processing with Seq2Tree Network.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 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

Tree Structured Multimedia Signal Modeling.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
A Mathematical Analysis of Network Controllability Through Driver Nodes.
IEEE Trans. Comput. Soc. Syst., 2017

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

Spatiotemporal compressed sensing for video compression.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 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 Syst., 2016

Topological and statistical behavior classifiers for tracking applications.
IEEE Trans. Aerosp. Electron. Syst., 2016

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

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

Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty.
Proceedings of the Algorithms and Computation - 26th International Symposium, 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

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

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 Syst., 2014

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

Computing Diffusion State Distance Using Green's Function and Heat Kernel on Graphs.
Proceedings of the Algorithms and Models for the Web Graph - 11th International Workshop, 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

A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

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


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