Peter Chin - RankMe

92 papers A* 7A 3B 1C 4Misc 5Journal 47Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ABCD: All Biases Come Disguised. CoRR Mateusz Nowak, Xavier Cadet, Peter Chin
2026	J	`jnl`	Retrieval-Augmented LLMs for Security Incident Analysis. CoRR Xavier Cadet, Aditya Vikram Singh, Harsh Mamania, Edward Koh, Alex Fitts, Dirk Van Bruggen, Simona Boboila, Peter Chin, Alina Oprea
2025	J	`jnl`	Advancing Differentiable Economics: A Neural Network Framework for Revenue-Maximizing Combinatorial Auction Mechanisms. CoRR Mai Pham, Vikrant Vaze, Peter Chin
2025	—	`conf`	Degree Matrix Comparison for Graph Alignment. HPEC Ashley Wang, Peter Chin
2025	A	`conf`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. AAMAS Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea
2025	J	`jnl`	MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning. CoRR Thang Nguyen, Peter Chin, Yu-Wing Tai
2025	J	`jnl`	Nash Q-Network for Multi-Agent Cybersecurity Simulation. CoRR Qintong Xie, Edward Koh, Xavier Cadet, Peter Chin
2025	J	`jnl`	PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense. CoRR Xavier Cadet, Simona Boboila, Sie Hendrata Dharmawan, Alina Oprea, Peter Chin
2025	J	`jnl`	Quantitative Resilience Modeling for Autonomous Cyber Defense. CoRR Xavier Cadet, Simona Boboila, Edward Koh, Peter Chin, Alina Oprea
2025	J	`jnl`	Ricci Matrix Comparison for Graph Alignment: A DMC Variation. CoRR Ashley Wang, Peter Chin
2025	—	`conf`	Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions. HPEC Mai Pham, Vikrant Vaze, Peter Chin
2025	J	`jnl`	Teleportation-Based Defenses for Privacy in Approximate Machine Unlearning. CoRR Mohammad M. Maheri, Xavier F. Cadet, Peter Chin, Hamed Haddadi
2024	J	`jnl`	AAPM: Large Language Model Agent-based Asset Pricing Models. CoRR Junyan Cheng, Peter Chin
2024	A*	`conf`	Bridging Neural and Symbolic Representations with Transitional Dictionary Learning. ICLR Junyan Cheng, Peter Chin
2024	J	`jnl`	Degree Matrix Comparison for Graph Alignment. CoRR Ashley Wang, Peter Chin
2024	Misc	`conf`	Detecting Continuous Gravitational Waves Using Generated Training Data. ICASSP Judith Herrmann, Raphael Kunert, Ron Hachmon, Aviv Markus, Allison Gunby-Mann, Sarel Cohen, Tobias Friedrich, Peter Chin
2024	—	`conf`	Explore Reinforced: Equilibrium Approximation with Reinforcement Learning. GameSec (1) Mateusz Nowak, Qintong Xie, Emma Graham, Ryan Yu, Michelle Yilin Feng, Roy Leibovitz, Xavier Cadet, Peter Chin
2024	J	`jnl`	Explore Reinforced: Equilibrium Approximation with Reinforcement Learning. CoRR Ryan Yu, Mateusz Nowak, Qintong Xie, Michelle Yilin Feng, Peter Chin
2024	—	`conf`	Graphical Learning Optimization and Dimensionality Reduction with Geometric Multi-Resolution Analysis. HPEC Felicia Schenkelberg, Allison Gunby-Mann, Emma Graham, Shuoxuan Li, Peter Chin
2024	J	`jnl`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. CoRR Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin
2024	J	`jnl`	Lossless and Near-Lossless Compression for Foundation Models. CoRR Moshik Hershcovitch, Leshem Choshen, Andrew Wood, Ilias Enmouri, Peter Chin, Swaminathan Sundararaman, Danny Harnik
2024	J	`jnl`	Reward-RAG: Enhancing RAG with Reward Driven Supervision. CoRR Thang Nguyen, Peter Chin, Yu-Wing Tai
2024	A	`conf`	Safe multi-agent reinforcement learning for bimanual dexterous manipulation. IROS Weishu Zhan, Peter Chin
2024	A*	`conf`	SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series. ICLR Junyan Cheng, Peter Chin
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024	—	`conf`	Tree Search for Simultaneous Move Games via Equilibrium Approximation. GameSec (1) Ryan Yu, Alex Olshevsky, Peter Chin
2024	J	`jnl`	Tree Search for Simultaneous Move Games via Equilibrium Approximation. CoRR Ryan Yu, Alex Olshevsky, Peter Chin
2024	A*	`conf`	Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes. AAAI Quang Truong, Peter Chin
2024	J	`jnl`	ZipNN: Lossless Compression for AI Models. CoRR Moshik Hershcovitch, Andrew Wood, Leshem Choshen, Guy Girmonsky, Roy Leibovitz, Ilias Ennmouri, Michal Malka, Peter Chin, Swaminathan Sundararaman, Danny Harnik
2023	—	`conf`	ANEDA: Adaptable Node Embeddings for Shortest Path Distance Approximation. HPEC Frank Pacini, Allison Gunby-Mann, Sarel Cohen, Peter Chin
2023	J	`jnl`	Adversarial Transformer Language Models for Contextual Commonsense Inference. CoRR Pedro Colon-Hernandez, Henry Lieberman, Yida Xin, Claire Yin, Cynthia Breazeal, Peter Chin
2023	—	`conf`	Deep Distance Sensitivity Oracles. COMPLEX NETWORKS (1) Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Peter Chin
2023	J	`jnl`	Generalizing Topological Graph Neural Networks with Paths. CoRR Quang Truong, Peter Chin
2023	—	`conf`	Improving Low-Latency Mono-Channel Speech Enhancement by Compensation Windows in STFT Analysis. COMPLEX NETWORKS (1) Minh N. Bui, Dung N. Tran, Kazuhito Koishida, Trac D. Tran, Peter Chin
2023	—	`conf`	Learned Approximate Distance Labels for Graphs. COMPLEX NETWORKS (1) Ikeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, Peter Chin
2023	J	`jnl`	On the Transition from Neural Representation to Symbolic Knowledge. CoRR Junyan Cheng, Peter Chin
2022	Misc	`conf`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2022	J	`jnl`	A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks. CoRR Chau Pham, Trung Dang, Peter Chin
2022	—	`conf`	A Study on Self-Supervised Object Detection Pretraining. ECCV Workshops (4) Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
2022	J	`jnl`	A Study on Self-Supervised Object Detection Pretraining. CoRR Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
2022	—	`conf`	Biologically Plausible Complex-Valued Neural Networks and Model Optimization. AIAI (1) Ryan Yu, Andrew Wood, Sarel Cohen, Moshik Hershcovitch, Daniel G. Waddington, Peter Chin
2022	—	`conf`	Collusion Detection in Team-Based Multiplayer Games. AAAI Spring Symposium: MAKE Laura Greige, Fernando de Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan
2022	J	`jnl`	Collusion Detection in Team-Based Multiplayer Games. CoRR Laura Greige, Fernando de Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan
2022	J	`jnl`	Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. CoRR Hieu Le, Hans Walker, Dung N. Tran, Peter Chin
2022	J	`jnl`	Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. CoRR Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin
2022	J	`jnl`	Non-Volatile Memory Accelerated Posterior Estimation. CoRR Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Peter Chin
2022	—	`conf`	Semi-supervised Adversarial Text Generation based on Seq2Seq models. EMNLP (Industry Track) Hieu Le, Dieu-Thu Le, Verena Weber, Chris Church, Kay Rottmann, Melanie Bradford, Peter Chin
2022	C	`conf`	Substitutional Neural Image Compression. PCS Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin
2022	Misc	`conf`	Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features. ICASSP Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida
2022	J	`jnl`	cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations. CoRR Weiyu Zong, Mingqian Feng, Griffin Heyrich, Peter Chin
2021	J	`jnl`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	—	`conf`	Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. CSCI Hieu Le, Hans Walker, Dung N. Tran, Peter Chin
2021	—	`conf`	Deep Reinforcement Learning for FlipIt Security Game. COMPLEX NETWORKS Laura Greige, Peter Chin
2021	—	`conf`	Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. COMPLEX NETWORKS Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Andrew Wood, Daniel G. Waddington, Peter Chin, Tobias Friedrich
2021	C	`conf`	How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection. ICMLA Louis Jensen, Jayme Fosa, Ben Teitelbaum, Peter Chin
2021	C	`conf`	Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. ICMLA Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Peter Chin
2021	—	`conf`	Neural Network Optimization with Biologically Inspired Low-Dimensional Manifold Learning. CSCI Hieu Le, Andrew Wood, Sylee Dandekar, Peter Chin
2021	—	`conf`	Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. COMPLEX NETWORKS Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin
2021	J	`jnl`	Neural-guided, Bidirectional Program Search for Abstraction and Reasoning. CoRR Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin
2021	—	`conf`	Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. HPEC Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin
2021	A*	`conf`	PATCHCOMM: Using Commonsense Knowledge to Guide Syntactic Parsers. KR Yida Xin, Henry Lieberman, Peter Chin
2021	—	`conf`	RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations. ACL/IJCNLP (Findings) Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal, Peter Chin
2021	J	`jnl`	RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations. CoRR Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal, Peter Chin
2021	A*	`conf`	Revealing and Protecting Labels in Distributed Training. NeurIPS Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	J	`jnl`	Revealing and Protecting Labels in Distributed Training. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	J	`jnl`	Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge. CoRR Yida Xin, Henry Lieberman, Peter Chin
2021	J	`jnl`	Substitutional Neural Image Compression. CoRR Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin
2021	—	`conf`	TAK-ML: Applying Machine Learning at the Tactical Edge. MILCOM Peter Chin, Emily Do, Cody Doucette, Brandon Kalashian, David C. Last, Nathan Lenz, Edward Lu, Devon Minor, Elias Noyes, Colleen T. Rock, Nathaniel Soule, Nicholas Walczak, Dave Canestrare
2021	J	`jnl`	Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features. CoRR Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida
2021	—	`conf`	What Is Learned in Knowledge Graph Embeddings? COMPLEX NETWORKS Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter Chin, Trung V. Dang, Andrew Wood
2021	J	`jnl`	What is Learned in Knowledge Graph Embeddings? CoRR Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter Chin, Trung V. Dang, Andrew Wood
2020	Misc	`conf`	AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	J	`jnl`	AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	J	`jnl`	Block Switching: A Stochastic Approach for Deep Learning Security. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	J	`jnl`	GymFG: A Framework with a Gym Interface for FlightGear. CoRR Andrew Wood, Ali Sydney, Peter Chin, Bishal Thapa, Ryan Ross
2020	J	`jnl`	Reinforcement Learning in FlipIt. CoRR Laura Greige, Peter Chin
2019	J	`jnl`	Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin
2019	J	`jnl`	Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data. CoRR Jacob Harer, Christopher P. Reale, Peter Chin
2018	J	`jnl`	Automated software vulnerability detection with machine learning. CoRR 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, Peter Chin, Tomo Lazovich
2018	J	`jnl`	Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin
2018	A	`conf`	Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin
2018	A*	`conf`	Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. NeurIPS Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin
2018	J	`jnl`	Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin
2018	—	`conf`	Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images. GlobalSIP Arun Asokan Nair, Luoluo Liu, Akshay Rangamani, Peter Chin, Muyinatu A. Lediju Bell, Trac D. Tran
2018	B	`conf`	Sound Signal Processing with Seq2Tree Network. LREC Weicheng Ma, Kai Cao, Zhaoheng Ni, Peter Chin, Xiang Li
2018	Misc	`conf`	Tree Structured Multimedia Signal Modeling. FLAIRS Weicheng Ma, Kai Cao, Xiang Li, Peter Chin
2017	—	`conf`	Domain specific inpainting with concurrently pretrained generative adversarial networks. GlobalSIP Xiao Zhou, Chengchen Wang, Yiteng Xu, Xiao Wang, Peter Chin
2016	—	`conf`	Wi(deband)-Fi: A Proposal for an Opportunistic Wideband Architecture based on Wi-Fi. MobiWac Guevara Noubir, Muriel Médard, Peter Chin
2015	A*	`conf`	Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery. COLT Peter Chin, Anup Rao, Van Vu
2015	J	`jnl`	Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery. CoRR Peter Chin, Anup Rao, Van Vu
2014	C	`conf`	Computing Diffusion State Distance Using Green's Function and Heat Kernel on Graphs. WAW Edward Boehnlein, Peter Chin, Amit Sinha, Linyuan Lu