Furong Huang - RankMe

288 papers A* 74A 5Journal 188Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment. AAAI Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Cho-Yu Jason Chiang, Furong Huang
2026	J	`jnl`	Agentic Critical Training. CoRR Weize Liu, Minghui Liu, Sy-Tuyen Ho, Souradip Chakraborty, Xiyao Wang, Furong Huang
2026	J	`jnl`	EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data. CoRR Ruijie Zheng, Dantong Niu, Yuqi Xie, Jing Wang, Mengda Xu, Yunfan Jiang, Fernando Castañeda, Fengyuan Hu, You Liang Tan, Letian Fu, Trevor Darrell, Furong Huang, Yuke Zhu, Danfei Xu, Linxi Fan
2026	J	`jnl`	GATES: Self-Distillation under Privileged Context with Consensus Gating. CoRR Alex Stein, Furong Huang, Tom Goldstein
2026	—	`conf`	Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs. EACL (Volume 1: Long Papers) James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2026	J	`jnl`	Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing. CoRR Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang
2026	J	`jnl`	PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback. CoRR Dehao Yuan, Tyler Farnan, Stefan Tesliuc, Doron L. Bergman, Yulun Wu, Xiaoyu Liu, Minghui Liu, James Montgomery, Nam H. Nguyen, C. Bayan Bruss, Furong Huang
2026	J	`jnl`	Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization. CoRR Anirudh Satheesh, Ziyi Chen, Furong Huang, Heng Huang
2026	J	`jnl`	Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
2026	J	`jnl`	TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models. CoRR Fangxu Yu, Xingang Guo, Lingzhi Yuan, Haoqiang Kang, Hongyu Zhao, Lianhui Qin, Furong Huang, Bin Hu, Tianyi Zhou
2026	J	`jnl`	TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting. CoRR Sravan Kumar Ankireddy, Nikita Seleznev, Nam H. Nguyen, Yulun Wu, Senthil Kumar, Furong Huang, C. Bayan Bruss
2026	J	`jnl`	Token-Level LLM Collaboration via FusionRoute. CoRR Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Lizhu Zhang, Zhuokai Zhao
2025	J	`jnl`	AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security. CoRR Zikui Cai, Shayan Shabihi, Bang An, Zora Che, Brian R. Bartoldson, Bhavya Kailkhura, Tom Goldstein, Furong Huang
2025	J	`jnl`	Balancing Fairness and Accuracy in Data-Restricted Binary Classification. ACM Trans. Knowl. Discov. Data Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Furong Huang, Min Wu
2025	A*	`conf`	Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. ICLR Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2025	J	`jnl`	Bridging the Divide: End-to-End Sequence-Graph Learning. CoRR Yuen Chen, Yulun Wu, Samuel Sharpe, Igor Melnyk, Nam H. Nguyen, Furong Huang, C. Bayan Bruss, Rizal Fathony
2025	A*	`conf`	CSRec: Rethinking Sequential Recommendation from A Causal Perspective. SIGIR Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai
2025	A*	`conf`	Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
2025	A*	`conf`	Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. ICLR Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
2025	J	`jnl`	Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. CoRR Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
2025	—	`conf`	DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. EMNLP (Findings) Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025	J	`jnl`	DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. CoRR Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025	J	`jnl`	Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi
2025	J	`jnl`	Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics. CoRR Tin Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé III, Zubin Jelveh
2025	—	`conf`	Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. NAACL (Findings) Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao
2025	J	`jnl`	FLARE: Robot Learning with Implicit World Modeling. CoRR Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loic Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan
2025	J	`jnl`	GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. ACM Trans. Knowl. Discov. Data Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2025	A*	`conf`	GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. ICLR Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2025	J	`jnl`	GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning. CoRR Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao
2025	J	`jnl`	Hold Onto That Thought: Assessing KV Cache Compression On Reasoning. CoRR Minghui Liu, Aadi Palnitkar, Tahseen Rabbani, Hyunwoo Jae, Kyle Rui Sang, Dixi Yao, Shayan Shabihi, Fuheng Zhao, Tian Li, Ce Zhang, Furong Huang, Kunpeng Zhang
2025	J	`jnl`	Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models. CoRR Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang
2025	A*	`conf`	Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CVPR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2025	A*	`conf`	Is Poisoning a Real Threat to DPO? Maybe More So Than You Think. AAAI Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang
2025	J	`jnl`	LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model. CoRR Xiyao Wang, Chunyuan Li, Jianwei Yang, Kai Zhang, Bo Liu, Tianyi Xiong, Furong Huang
2025	—	`conf`	Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. NAACL (Findings) Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2025	J	`jnl`	Lemon: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding. CoRR Yongyuan Liang, Xiyao Wang, Yuanchen Ju, Jianwei Yang, Furong Huang
2025	J	`jnl`	Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. CoRR Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
2025	J	`jnl`	MAFE: Multi-Agent Fair Environments for Decision-Making Systems. CoRR Zachary McBride Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu
2025	J	`jnl`	MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models. CoRR Kevin Zhai, Utsav Singh, Anirudh Thatipelli, Souradip Chakraborty, Anit Kumar Sahu, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2025	J	`jnl`	MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning. CoRR Zikui Cai, Andrew Wang, Anirudh Satheesh, Ankit Nakhawa, Hyunwoo Jae, Keenan Powell, Minghui Liu, Neel Jay, Sungbin Oh, Xiyao Wang, Yongyuan Liang, Tom Goldstein, Furong Huang
2025	—	`conf`	MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. NAACL (Long Papers) Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025	J	`jnl`	MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. CoRR Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. CoRR Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. Trans. Mach. Learn. Res. Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning. CoRR Yuanchen Ju, Yongyuan Liang, Yen-Jen Wang, Nandiraju Gireesh, Yuanliang Ju, Seungjae Lee, Qiao Gu, Elvis Hsieh, Furong Huang, Koushil Sreenath
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	J	`jnl`	PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL. CoRR Joshua McClellan, Greyson Brothers, Furong Huang, Pratap Tokekar
2025	—	`conf`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. NAACL (Long Papers) Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. CoRR Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025	J	`jnl`	Privacy protection technology in e-commerce based on dilated convolution network model. J. Comput. Methods Sci. Eng. Furong Huang
2025	J	`jnl`	PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach. CoRR Udari Madhushani Sehwag, Shayan Shabihi, Alex McAvoy, Vikash Sehwag, Yuancheng Xu, Dalton Towers, Furong Huang
2025	J	`jnl`	RAGPart & RAGMask: Retrieval-Stage Defenses Against Corpus Poisoning in Retrieval-Augmented Generation. CoRR Pankayaraj Pathmanathan, Michael-Andrei Panaitescu-Liess, Cho-Yu Jason Chiang, Furong Huang
2025	J	`jnl`	ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation. CoRR Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang
2025	J	`jnl`	Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. CoRR Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister
2025	J	`jnl`	Reward Models Can Improve Themselves: Reward-Guided Adversarial Failure Mode Discovery for Robust Reward Modeling. CoRR Pankayaraj Pathmanathan, Furong Huang
2025	A*	`conf`	Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles. ICRA Zhili Zhang, H. M. Sabbir Ahmad, Ehsan Sabouni, Yanchao Sun, Furong Huang, Wenchao Li, Fei Miao
2025	J	`jnl`	SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement. CoRR Xiyao Wang, Zhengyuan Yang, Chao Feng, Hongjin Lu, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang
2025	A	`conf`	Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. AISTATS Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla
2025	J	`jnl`	Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings. CoRR Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Vijay Kamarshi, Andrea Fanelli, Furong Huang
2025	J	`jnl`	TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos. CoRR Seungjae Lee, Yoonkyo Jung, Inkook Chun, Yao-Chih Lee, Zikui Cai, Hongjia Huang, Aayush Talreja, Tan Dat Dao, Yongyuan Liang, Jia-Bin Huang, Furong Huang
2025	A*	`conf`	TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. ICLR Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2025	—	`conf`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. EMNLP (Findings) Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems. CoRR Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025	J	`jnl`	ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs. CoRR Xiyao Wang, Zhengyuan Yang, Chao Feng, Yongyuan Liang, Yuhang Zhou, Xiaoyu Liu, Ziyi Zang, Ming Li, Chung-Ching Lin, Kevin Lin, Linjie Li, Furong Huang, Lijuan Wang
2025	J	`jnl`	Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis. CoRR Jeffrey Yang Fan Chiang, Seungjae Lee, Jia-Bin Huang, Furong Huang, Yizheng Chen
2025	—	`conf`	World Models with Hints of Large Language Models for Goal Achieving. NAACL (Long Papers) Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
2025	J	`jnl`	Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning. CoRR Ang Li, Charles Wang, Kaiyu Yue, Zikui Cai, Ollie Liu, Deqing Fu, Peng Guo, Wang Bill Zhu, Vatsal Sharan, Robin Jia, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum
2025	J	`jnl`	Zero-Shot Vision Encoder Grafting via LLM Surrogates. CoRR Kaiyu Yue, Vasu Singla, Menglin Jia, John Kirchenbauer, Rifaa Qadri, Zikui Cai, Abhinav Bhatele, Furong Huang, Tom Goldstein
2024	A*	`conf`	A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). ICML Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos
2024	J	`jnl`	A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos
2024	J	`jnl`	A survey of recent methods for addressing AI fairness and bias in biomedicine. CoRR Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu
2024	J	`jnl`	A survey of recent methods for addressing AI fairness and bias in biomedicine. J. Biomed. Informatics Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu
2024	J	`jnl`	ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	A*	`conf`	ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	J	`jnl`	AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024	A*	`conf`	Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
2024	J	`jnl`	AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment. CoRR Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Furong Huang
2024	J	`jnl`	Adversarial Attacks on Large Language Models in Medicine. CoRR Yifan Yang, Qiao Jin, Furong Huang, Zhiyong Lu
2024	J	`jnl`	Auction-Based Regulation for Artificial Intelligence. CoRR Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang
2024	—	`conf`	AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. EMNLP (Findings) Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024	J	`jnl`	Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang
2024	—	`conf`	Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. ICPRAI (2) Tahseen Rabbani, Kyle Sang, Furong Huang
2024	J	`jnl`	Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. CoRR Kyle Sang, Tahseen Rabbani, Furong Huang
2024	J	`jnl`	Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. CoRR Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2024	J	`jnl`	Benchmarking the Robustness of Image Watermarks. CoRR Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024	A*	`conf`	Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. ICLR Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
2024	J	`jnl`	Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. CoRR Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
2024	A*	`conf`	Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. NeurIPS Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
2024	J	`jnl`	Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. CoRR Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
2024	A*	`conf`	COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
2024	J	`jnl`	CSRec: Rethinking Sequential Recommendation from A Causal Perspective. CoRR Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai
2024	J	`jnl`	Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang
2024	J	`jnl`	Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
2024	A*	`conf`	Decodable and Sample Invariant Continuous Object Encoder. ICLR Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
2024	A*	`conf`	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
2024	A*	`conf`	Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. NeurIPS Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Animashree Anandkumar, Furong Huang
2024	J	`jnl`	Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. CoRR Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang
2024	J	`jnl`	Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
2024	J	`jnl`	EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? CoRR Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang
2024	J	`jnl`	Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. CoRR Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W. John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S. Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu
2024	—	`conf`	Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. ACL (1) Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2024	A*	`conf`	FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
2024	J	`jnl`	FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? CoRR Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
2024	A*	`conf`	Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
2024	J	`jnl`	GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. CoRR Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2024	A*	`conf`	Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2024	J	`jnl`	HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing. CoRR Minghui Liu, Tahseen Rabbani, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Brian J. Gravelle, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
2024	J	`jnl`	Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2024	J	`jnl`	Industrial technology network security measurement in international trade under discrete hopfield neural network. J. Comput. Methods Sci. Eng. Furong Huang
2024	J	`jnl`	Is poisoning a real threat to LLM alignment? Maybe more so than you think. CoRR Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang
2024	J	`jnl`	LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds. CoRR James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2024	J	`jnl`	Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2024	A*	`conf`	Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
2024	A*	`conf`	Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. NeurIPS Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
2024	J	`jnl`	Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
2024	A*	`conf`	MaxMin-RLHF: Alignment with Diverse Human Preferences. ICML Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang
2024	J	`jnl`	MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
2024	—	`conf`	Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
2024	J	`jnl`	Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
2024	—	`conf`	Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. EMNLP (Findings) Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024	J	`jnl`	Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. CoRR Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024	A*	`conf`	PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
2024	A*	`conf`	PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. ICML Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024	J	`jnl`	PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024	A*	`conf`	PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	A*	`conf`	Position: On the Possibilities of AI-Generated Text Detection. ICML Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024	A*	`conf`	Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024	J	`jnl`	Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024	A*	`conf`	Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. ICLR Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
2024	A*	`conf`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024	J	`jnl`	SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024	J	`jnl`	SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang
2024	J	`jnl`	Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension. CoRR Xiyao Wang, Zhengyuan Yang, Linjie Li, Hongjin Lu, Yuancheng Xu, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang
2024	A*	`conf`	Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. NeurIPS Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
2024	J	`jnl`	Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. CoRR Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
2024	J	`jnl`	Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
2024	J	`jnl`	Spectral Greedy Coresets for Graph Neural Networks. CoRR Mucong Ding, Yinhan He, Jundong Li, Furong Huang
2024	J	`jnl`	Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. CoRR Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla
2024	J	`jnl`	Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning. CoRR Xiyao Wang, Linfeng Song, Ye Tian, Dian Yu, Baolin Peng, Haitao Mi, Furong Huang, Dong Yu
2024	J	`jnl`	TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. CoRR Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2024	J	`jnl`	Transfer Q Star: Principled Decoding for LLM Alignment. CoRR Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
2024	A*	`conf`	Transfer Q-star : Principled Decoding for LLM Alignment. NeurIPS Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024	J	`jnl`	Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. CoRR Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu
2024	A*	`conf`	WAVES: Benchmarking the Robustness of Image Watermarks. ICML Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024	J	`jnl`	World Models with Hints of Large Language Models for Goal Achieving. CoRR Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
2024	J	`jnl`	conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang
2023	J	`jnl`	A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi
2023	J	`jnl`	Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
2023	J	`jnl`	AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
2023	A*	`conf`	C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
2023	J	`jnl`	C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
2023	J	`jnl`	COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
2023	A*	`conf`	Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2023	A*	`conf`	Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. NeurIPS Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023	J	`jnl`	Decodable and Sample Invariant Continuous Object Encoder. CoRR Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
2023	J	`jnl`	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
2023	J	`jnl`	Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
2023	J	`jnl`	Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. CoRR Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2023	A*	`conf`	Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. ICLR Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
2023	J	`jnl`	Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. CoRR Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
2023	J	`jnl`	GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2023	J	`jnl`	Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
2023	A*	`conf`	Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
2023	J	`jnl`	Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
2023	A*	`conf`	Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS Tahseen Rabbani, Marco Bornstein, Furong Huang
2023	J	`jnl`	Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR Tahseen Rabbani, Marco Bornstein, Furong Huang
2023	A*	`conf`	Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
2023	A*	`conf`	Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. ICML Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang
2023	J	`jnl`	More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
2023	J	`jnl`	On the Possibilities of AI-Generated Text Detection. CoRR Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2023	A*	`conf`	Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
2023	J	`jnl`	Progressively Efficient Learning. CoRR Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023	J	`jnl`	RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation. CoRR Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang
2023	J	`jnl`	Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. CoRR Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
2023	J	`jnl`	Reviving Shift Equivariance in Vision Transformers. CoRR Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang
2023	J	`jnl`	Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. CoRR Aakriti Agrawal, Rohith Aralikatti, Yanchao Sun, Furong Huang
2023	A*	`conf`	SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
2023	J	`jnl`	SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
2023	A*	`conf`	STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
2023	J	`jnl`	STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
2023	A*	`conf`	SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang
2023	J	`jnl`	Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao
2023	A*	`conf`	TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2023	J	`jnl`	TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2023	J	`jnl`	Temporal expectations mediated the repetition effect in a sequence in two ways. Cogn. Process. Haiqiong Yan, Shuang Tang, Furong Huang
2023	J	`jnl`	Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
2022	A*	`conf`	Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022	J	`jnl`	Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022	J	`jnl`	An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication. CoRR Xiaofeng Xue, Haokun Mao, Qiong Li, Furong Huang
2022	J	`jnl`	Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2022	J	`jnl`	Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. CoRR Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
2022	J	`jnl`	Compact Neural Architecture Designs by Tensor Representations. Frontiers Artif. Intell. Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang
2022	A*	`conf`	Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
2022	J	`jnl`	Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. CoRR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
2022	A*	`conf`	End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking. NeurIPS Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking. CoRR Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent. CoRR Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang
2022	J	`jnl`	FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha
2022	J	`jnl`	Increased or decreased? Interpersonal neural synchronization in group creation. NeuroImage Zheng Liang, Songqing Li, Siyuan Zhou, Shi Chen, Ying Li, Yanran Chen, Qingbai Zhao, Furong Huang, Chunming Lu, Quanlei Yu, Zhijin Zhou
2022	J	`jnl`	Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. CoRR Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang
2022	J	`jnl`	Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
2022	A*	`conf`	Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. ICLR Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
2022	J	`jnl`	SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang
2022	A*	`conf`	Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. ICML Jiahao Su, Wonmin Byeon, Furong Huang
2022	A*	`conf`	Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
2022	J	`jnl`	Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101). Dagstuhl Reports Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, P. Sadayappan, Edward Stow
2022	A*	`conf`	Transfer RL across Observation Feature Spaces via Model-Based Regularization. ICLR Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
2022	J	`jnl`	Transfer RL across Observation Feature Spaces via Model-Based Regularization. CoRR Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
2022	A*	`conf`	Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS Bang An, Zora Che, Mucong Ding, Furong Huang
2022	J	`jnl`	Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. CoRR Bang An, Zora Che, Mucong Ding, Furong Huang
2022	A*	`conf`	Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. ICLR Xiaoyu Liu, Jiahao Su, Furong Huang
2022	A*	`conf`	Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. NeurIPS Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
2022	A*	`conf`	Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
2021	A*	`conf`	Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. AAAI Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
2021	A*	`conf`	Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks. NeurIPS Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks. CoRR Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. CoRR Huimin Zeng, Jiahao Su, Furong Huang
2021	J	`jnl`	Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. CoRR Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang
2021	J	`jnl`	DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations. CoRR Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Datasets for Studying Generalization from Easy to Hard Examples. CoRR Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Arpit Bansal, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Guided Hyperparameter Tuning Through Visualization and Inference. CoRR Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, Leilani Battle
2021	—	`conf`	MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients. ECML/PKDD (3) Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
2021	—	`conf`	Practical and Fast Momentum-Based Power Methods. MSML Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang
2021	J	`jnl`	Practical and Fast Momentum-Based Power Methods. CoRR Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang
2021	J	`jnl`	Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. CoRR Jiahao Su, Wonmin Byeon, Furong Huang
2021	A*	`conf`	TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. AAAI Yanchao Sun, Xiangyu Yin, Furong Huang
2021	A*	`conf`	Understanding the Generalization Benefit of Model Invariance from a Data Perspective. NeurIPS Sicheng Zhu, Bang An, Furong Huang
2021	J	`jnl`	Understanding the Generalization Benefit of Model Invariance from a Data Perspective. CoRR Sicheng Zhu, Bang An, Furong Huang
2021	A*	`conf`	VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. NeurIPS Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein
2021	J	`jnl`	VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. CoRR Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John P. Dickerson, Furong Huang, Tom Goldstein
2021	A*	`conf`	Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. ICLR Yanchao Sun, Da Huo, Furong Huang
2021	J	`jnl`	Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. CoRR Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. CoRR Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
2020	A*	`conf`	ARMA Nets: Expanding Receptive Field for Dense Prediction. NeurIPS Jiahao Su, Shiqi Wang, Furong Huang
2020	J	`jnl`	ARMA Nets: Expanding Receptive Field for Dense Prediction. CoRR Jiahao Su, Shiqi Wang, Furong Huang
2020	J	`jnl`	Adaptive Learning Rates with Maximum Variation Averaging. CoRR Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
2020	A*	`conf`	An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm. ICML Chris Decarolis, Mukul Ram, Seyed Esmaeili, Yu-Xiang Wang, Furong Huang
2020	J	`jnl`	Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. CoRR Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
2020	A	`conf`	Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning. AAMAS Yanchao Sun, Furong Huang
2020	A*	`conf`	Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
2020	J	`jnl`	Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar
2020	—	`conf`	Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks. IntelliSys (1) Alexander Reustle, Tahseen Rabbani, Furong Huang
2020	J	`jnl`	Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. CoRR Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein
2020	J	`jnl`	Novel reconciliation protocol based on spinal code for continuous-variable quantum key distribution. Quantum Inf. Process. Xuan Wen, Qiong Li, Haokun Mao, Yi Luo, Bing-Ze Yan, Furong Huang
2020	A*	`conf`	Sampling-Free Learning of Bayesian Quantized Neural Networks. ICLR Jiahao Su, Milan Cvitkovic, Furong Huang
2020	J	`jnl`	TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. CoRR Yanchao Sun, Xiangyu Yin, Furong Huang
2020	J	`jnl`	Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111). Dagstuhl Reports Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, Christian Lengauer, Saday Sadayappan
2020	J	`jnl`	The function of the hippocampus and middle temporal gyrus in forming new associations and concepts during the processing of novelty and usefulness features in creative designs. NeuroImage Jingyuan Ren, Furong Huang, Ying Zhou, Liping Zhuang, Jiahua Xu, Chuanji Gao, Shaozheng Qin, Jing Lu
2020	—	`conf`	Understanding Generalization Through Visualizations. ICBINB@NeurIPS W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein
2020	A	`conf`	Understanding Generalization in Deep Learning via Tensor Methods. AISTATS Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
2020	J	`jnl`	Understanding Generalization in Deep Learning via Tensor Methods. CoRR Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
2020	J	`jnl`	Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets. CoRR Roozbeh Yousefzadeh, Furong Huang
2020	J	`jnl`	Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. CoRR Yanchao Sun, Furong Huang
2019	A	`conf`	Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein
2019	J	`jnl`	Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning. CoRR Yanchao Sun, Furong Huang
2019	A	`conf`	Guaranteed Scalable Learning of Latent Tree Models. UAI Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar
2019	J	`jnl`	Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? CoRR Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein
2019	J	`jnl`	People got lost in solving a set of similar problems. NeuroImage Furong Huang, Qingbai Zhao, Zhijin Zhou, Jing Luo
2019	J	`jnl`	Sampling-Free Learning of Bayesian Quantized Neural Networks. CoRR Jiahao Su, Milan Cvitkovic, Furong Huang
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2019	J	`jnl`	Understanding Generalization through Visualizations. CoRR W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein
2018	J	`jnl`	Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares. CoRR Jialin Li, Furong Huang
2018	A*	`conf`	Learning Deep ResNet Blocks Sequentially using Boosting Theory. ICML Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire
2018	J	`jnl`	Neural correlates of novelty and appropriateness processing in externally induced constraint relaxation. NeuroImage Furong Huang, Shuang Tang, Pei Sun, Jing Luo
2018	J	`jnl`	Tensorized Spectrum Preserving Compression for Neural Networks. CoRR Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang
2017	J	`jnl`	Learning Deep ResNet Blocks Sequentially using Boosting Theory. CoRR Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire
2016	J	`jnl`	Discovery of Latent Factors in High-dimensional Data Using Tensor Methods. CoRR Furong Huang
2016	—	`—`	Discovery of Latent Factors in High-dimensional Data Using Tensor Methods. Furong Huang
2016	J	`jnl`	Non-negative Factorization of the Occurrence Tensor from Financial Contracts. CoRR Zheng Xu, Furong Huang, Louiqa Raschid, Tom Goldstein
2016	J	`jnl`	Unsupervised learning of transcriptional regulatory networks via latent tree graphical models. CoRR Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar
2015	A*	`conf`	Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]. ICDM Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts, Sean M. Fitzhugh
2015	—	`conf`	Convolutional Dictionary Learning through Tensor Factorization. FE@NIPS Furong Huang, Animashree Anandkumar
2015	J	`jnl`	Convolutional Dictionary Learning through Tensor Factorization. CoRR Furong Huang, Animashree Anandkumar
2015	A*	`conf`	Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. COLT Rong Ge, Furong Huang, Chi Jin, Yang Yuan
2015	J	`jnl`	Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. CoRR Rong Ge, Furong Huang, Chi Jin, Yang Yuan
2015	J	`jnl`	Online tensor methods for learning latent variable models. J. Mach. Learn. Res. Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree Anandkumar
2015	J	`jnl`	The neural basis of novelty and appropriateness in processing of creative chunk decomposition. NeuroImage Furong Huang, Jin Fan, Jing Luo
2014	J	`jnl`	Integrated Structure and Parameters Learning in Latent Tree Graphical Models. CoRR Furong Huang, U. N. Niranjan, Animashree Anandkumar
2014	J	`jnl`	Modeling Dynamic Social Interactions via Conditional Latent Tree Models. CoRR Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts
2013	A*	`conf`	FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations. INFOCOM Furong Huang, Anima Anandkumar
2013	J	`jnl`	Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs. CoRR Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar
2012	J	`jnl`	High-dimensional Gaussian graphical model selection: walk summability and local separation criterion. J. Mach. Learn. Res. Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky
2012	—	`conf`	Learning Mixtures of Tree Graphical Models. NIPS Animashree Anandkumar, Daniel J. Hsu, Furong Huang, Sham M. Kakade
2011	J	`jnl`	High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families CoRR Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky
2010	—	`conf`	Prediction-Based Spectrum Aggregation with Hardware Limitation in Cognitive Radio Networks. VTC Spring Furong Huang, Wei Wang, Haiyan Luo, Guanding Yu, Zhaoyang Zhang