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Furong Huang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

77

Venues

19

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

77 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIAdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment.Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Cho-Yu Jason Chiang, Furong Huang
2026ACLEnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles.Aakriti Agrawal, Mucong Ding, Chenghao Deng, Zora Che, Arjun Rajaram, Anirudh Satheesh, Bang An, C. Bayan Bruss, John Langford, Furong Huang
2026ACLTowards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings.Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Sarvesh Baskar, Vijay Kamarshi, Andrea Fanelli, Furong Huang
2026ACLTeach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling.Pankayaraj Pathmanathan, Furong Huang
2026EACLJailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs.James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah
2025AAAICan Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
2025AAAIIs Poisoning a Real Threat to DPO? Maybe More So Than You Think.Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang
2025AIESEffort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics.Tin Trung Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daum III, Zubin Jelveh
2025AISTATSStatistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory.Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla
2025CVPRImmune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment.Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2025EMNLPUncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems.Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh, Souradip Chakraborty, Amrit Singh Bedi, Furong Huang
2025EMNLPDISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025ICCVScaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension.Xiyao Wang, Zhengyuan Yang, Linjie Li, Hongjin Lu, Yuancheng Xu, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang
2025ICCVZero-Shot Vision Encoder Grafting via LLM Surrogates.Kaiyu Yue, Vasu Singla, Menglin Jia, John Kirchenbauer, Rifaa Qadri, Zikui Cai, Abhinav Bhatele, Furong Huang, Tom Goldstein
2025ICCVGenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning.Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao
2025ICLRCollab: Controlled Decoding using Mixture of Agents for LLM Alignment.Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
2025ICLRBenchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.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
2025ICLRGenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment.Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
2025ICLRTraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daum III, Andrey Kolobov, Furong Huang, Jianwei Yang
2025ICRASafety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles.Zhili Zhang, H. M. Sabbir Ahmad, Ehsan Sabouni, Yanchao Sun, Furong Huang, Wenchao Li, Fei Miao
2025NAACLWorld Models with Hints of Large Language Models for Goal Achieving.Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
2025NAACLLarge Language Models and Causal Inference in Collaboration: A Comprehensive Survey.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
2025NAACLPoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models.Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
2025NAACLEnhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.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
2025NAACLMergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025SIGIRCSRec: Rethinking Sequential Recommendation from A Causal Perspective.Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai
2024ACLMementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.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
2024ACLExplore Spurious Correlations at the Concept Level in Language Models for Text Classification.Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2024CVPRHallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2024EMNLPAutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.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
2024EMNLPMulti-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024ICLRPerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts.Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
2024ICLRPARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback.Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
2024ICLRSAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
2024ICLRGame-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
2024ICLRRethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL.Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
2024ICLRBeyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
2024ICLRLike Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds.Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
2024ICLRCOPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
2024ICLRDrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.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 Daum III, Furong Huang, Huazhe Xu
2024ICLRDecodable and Sample Invariant Continuous Object Encoder.Dehao Yuan, Furong Huang, Cornelia Fermller, Yiannis Aloimonos
2024ICMLWAVES: Benchmarking the Robustness of Image Watermarks.Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024ICMLPosition: On the Possibilities of AI-Generated Text Detection.Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
2024ICMLMaxMin-RLHF: Alignment with Diverse Human Preferences.Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.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
2024ICMLACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024ICMLAdapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
2024ICMLA Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).Dehao Yuan, Cornelia Fermller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos
2024ICMLPRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.Ruijie Zheng, Ching-An Cheng, Hal Daum III, Furong Huang, Andrey Kolobov
2024ICMLPremier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daum III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2023AAAIPosterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning.Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
2023ICLRSWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication.Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang
2023ICLRSMART: Self-supervised Multi-task pretrAining with contRol Transformers.Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
2023ICLRCertifiably Robust Policy Learning against Adversarial Multi-Agent Communication.Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2023ICLRExploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
2023ICLRIs Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
2023ICMLSTEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
2023ICMLLive in the Moment: Learning Dynamics Model Adapted to Evolving Policy.Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang
2023ICMLLearning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
2022ICLRTuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency.Xiaoyu Liu, Jiahao Su, Furong Huang
2022ICLRWho Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
2022ICLRTransfer RL across Observation Feature Spaces via Model-Based Regularization.Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
2022ICLRReinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory.Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
2022ICMLScaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.Jiahao Su, Wonmin Byeon, Furong Huang
2021AAAITempLe: Learning Template of Transitions for Sample Efficient Multi-task RL.Yanchao Sun, Xiangyu Yin, Furong Huang
2021AAAIAre Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks.Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
2021ICLRVulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics.Yanchao Sun, Da Huo, Furong Huang
2020AISTATSUnderstanding Generalization in Deep Learning via Tensor Methods.Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
2020ICLRSampling-Free Learning of Bayesian Quantized Neural Networks.Jiahao Su, Milan Cvitkovic, Furong Huang
2020ICMLAn end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm.Chris Decarolis, Mukul Ram, Seyed Esmaeili, Yu-Xiang Wang, Furong Huang
2019BMVCBatch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing.Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein
2019UAIGuaranteed Scalable Learning of Latent Tree Models.Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar
2018ICMLLearning Deep ResNet Blocks Sequentially using Boosting Theory.Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire
2015COLTEscaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition.Rong Ge, Furong Huang, Chi Jin, Yang Yuan
2015ICDMAre You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models].Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts, Sean M. Fitzhugh
2013INFOCOMFCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations.Furong Huang, Anima Anandkumar
2010VTCPrediction-Based Spectrum Aggregation with Hardware Limitation in Cognitive Radio Networks.Furong Huang, Wei Wang, Haiyan Luo, Guanding Yu, Zhaoyang Zhang