Furong Huang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 166

Top Venues

CoRR

ICLR

NeurIPS

ICML

University of California, Irvine, USA (PHD)

Education History

University of California, Irvine, USA

PHD

Publications

Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR (2024)
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
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR (2024)
Mucong Ding, Yinhan He, Jundong Li, Furong Huang
Spectral Greedy Coresets for Graph Neural Networks. CoRR (2024)
Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
Benchmarking the Robustness of Image Watermarks. CoRR (2024)
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR (2024)
Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR (2024)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR (2024)
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
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) (2024)
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. ICLR (2024)
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, Chao Zhang, 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 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
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR (2024)
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. ACL (1) (2024)
Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. CoRR (2024)
Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR (2024)
Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? CoRR (2024)
Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR (2024)
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR (2024)
Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR (2024)
Furong Huang
Industrial technology network security measurement in international trade under discrete hopfield neural network. J. Comput. Methods Sci. Eng. 24 (2) (2024)
Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
World Models with Hints of Large Language Models for Goal Achieving. CoRR (2024)
Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu
A survey of recent methods for addressing AI fairness and bias in biomedicine. CoRR (2024)
Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. ICLR (2024)
Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. CoRR (2024)
Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
Decodable and Sample Invariant Continuous Object Encoder. ICLR (2024)
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
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR (2024)
Yifan Yang, Qiao Jin, Furong Huang, Zhiyong Lu
Adversarial Attacks on Large Language Models in Medicine. CoRR (2024)
Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang
Is poisoning a real threat to LLM alignment? Maybe more so than you think. CoRR (2024)
Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. CoRR (2024)
Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR (2024)
Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR (2024)
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
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR (2024)
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR (2024)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR (2024)
Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu
A survey of recent methods for addressing AI fairness and bias in biomedicine. J. Biomed. Informatics 154 (2024)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR (2024)
Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR (2024)
Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
Transfer Q Star: Principled Decoding for LLM Alignment. CoRR (2024)
Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR (2024)
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. CoRR (2024)
Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR (2024)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR (2024)
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR (2024)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR (2023)
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR (2023)
Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
Decodable and Sample Invariant Continuous Object Encoder. CoRR (2023)
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. 2023 (2023)
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
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR (2023)
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. CoRR (2023)
Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS (2023)
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
Progressively Efficient Learning. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR (2023)
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS (2023)
Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang
Reviving Shift Equivariance in Vision Transformers. CoRR (2023)
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML (2023)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR (2023)
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. CoRR (2023)
Haiqiong Yan, Shuang Tang, Furong Huang
Temporal expectations mediated the repetition effect in a sequence in two ways. Cogn. Process. 24 (4) (2023)
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. ICLR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR (2023)
Aakriti Agrawal, Rohith Aralikatti, Yanchao Sun, Furong Huang
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. CoRR (2023)
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR (2023)
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR (2023)
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. CoRR (2023)
Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR (2023)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
On the Possibilities of AI-Generated Text Detection. CoRR (2023)
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR (2023)
Tahseen Rabbani, Marco Bornstein, Furong Huang
Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS (2023)
Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. ICML (2023)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR (2023)
Tahseen Rabbani, Marco Bornstein, Furong Huang
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR (2023)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML (2023)
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. NeurIPS (2023)
Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao
Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR (2023)
Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation. CoRR (2023)
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI (2023)
Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang
Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent. CoRR (2022)
Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang
Compact Neural Architecture Designs by Tensor Representations. Frontiers Artif. Intell. 5 (2022)
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR (2022)
Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR (2022)
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS (2022)
Bang An, Zora Che, Mucong Ding, Furong Huang
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. CoRR (2022)
Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. NeurIPS (2022)
Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS (2022)
Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking. NeurIPS (2022)
Xiaoyu Liu, Jiahao Su, Furong Huang
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. ICLR (2022)
Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR (2022)
Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. ICLR (2022)
Xiaofeng Xue, Haokun Mao, Qiong Li, Furong Huang
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication. CoRR (2022)
Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. CoRR (2022)
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS (2022)
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. CoRR (2022)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR (2022)
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Furong Huang