Wang, Huan

92 publications

TMLR 2026 A Survey of Token Compression for Efficient Multimodal Large Language Models Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang

IJCAI 2025 ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

NeurIPS 2025 APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Manoj Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Quoc Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong

ICLR 2025 Accessing Vision Foundation Models via ImageNet-1k Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu

UAI 2025 Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning Xue Zhou, Dapeng Man, Chen Xu, Fanyi Zeng, Tao Liu, Huan Wang, Shucheng He, Chaoyang Gao, Wu Yang

IJCAI 2025 Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang

ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

CVPR 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

ICCV 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

NeurIPS 2025 FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance Ying Li, Chengfei Lv, Huan Wang

NeurIPS 2025 HoliTom: Holistic Token Merging for Fast Video Large Language Models Kele Shao, Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

ICLRW 2025 Improved Techniques for Training Smaller and Faster Stable Diffusion Hesong Wang, Huan Wang

ICCV 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu

NeurIPS 2025 Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang

NeurIPS 2025 Segment Then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Huan Wang, Yu Yin

ICLRW 2025 TACO: Learning Multi-Modal Models to Reason and Act with Synthetic Chains-of-Thought-and-Action Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese

AAAI 2025 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2025 ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs Shirley Kokane, Ming Zhu, Tulika Manoj Awalgaonkar, Jianguo Zhang, Akshara Prabhakar, Thai Quoc Hoang, Zuxin Liu, R N Rithesh, Liangwei Yang, Weiran Yao, Juntao Tan, Zhiwei Liu, Huan Wang, Juan Carlos Niebles, Shelby Heinecke, Caiming Xiong, Silvio Savarese

ECCV 2024 A Simple Low-Bit Quantization Framework for Video Snapshot Compressive Imaging Miao Cao, Lishun Wang, Huan Wang, Xin Yuan

NeurIPS 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong

ICLRW 2024 Bolaa: Benchmarking and Orchestrating LLM Autonomous Agents Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, R N Rithesh, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CLeaR 2024 Causal Layering via Conditional Entropy Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang

ICLR 2024 Don't Judge by the Look: Towards Motion Coherent Video Representation Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu

CVPR 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu

ICLR 2024 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

ECCVW 2024 LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu

PGM 2024 On the Unlikelihood of D-Separation Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2024 REX: Rapid Exploration and eXploitation for AI Agents R N Rithesh, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

ICLR 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, R N Rithesh, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai

NeurIPS 2024 Slicing Vision Transformer for Flexible Inference Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi Chen, Derek Hao Hu, Yun Fu

AAAI 2024 Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong

ICLRW 2024 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2024 The Agent Ohana: Designing Unified Data and Training Pipeline for Effective Agent Learning Jianguo Zhang, Tian Lan, R N Rithesh, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Quoc Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Ming Zhu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

ICLR 2023 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

ICLR 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang

CVPR 2023 Frame Flexible Network Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu

NeurIPSW 2023 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

ICLR 2023 Image as Set of Points Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

ICML 2023 Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai

ICCV 2023 Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao

NeurIPS 2023 Latent Graph Inference with Limited Supervision Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu

ICML 2023 Lower Bounds for Learning in Revealing POMDPs Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

CVPR 2023 Real-Time Neural Light Field on Mobile Devices Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren

ICCV 2023 Recovering a Molecule's 3D Dynamics from Liquid-Phase Electron Microscopy Movies Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun

ICMLW 2023 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai

NeurIPS 2023 SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren

ICLR 2023 Trainability Preserving Neural Pruning Huan Wang, Yun Fu

NeurIPS 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei

ICMLW 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei

NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation in the Wild Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

ICLR 2022 Dual Lottery Ticket Hypothesis Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu

ICLR 2022 Efficient and Differentiable Conformal Prediction with General Function Classes Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong

NeurIPS 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

NeurIPSW 2022 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang

NeurIPSW 2022 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang

ICLR 2022 Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning Yulun Zhang, Huan Wang, Can Qin, Yun Fu

UAI 2022 Local Calibration: Metrics and Recalibration Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone

NeurIPS 2022 Look More but Care Less in Video Recognition Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu

NeurIPS 2022 Parameter-Efficient Masking Networks Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu

NeurIPS 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai

ECCV 2022 Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji

ECCV 2022 R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov

IJCAI 2022 Recent Advances on Neural Network Pruning at Initialization Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu

MLOSS 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng

NeurIPS 2022 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective Huan Wang, Suhas Lohit, Michael N. Jones, Yun Fu

NeurIPS 2021 Aligned Structured Sparsity Learning for Efficient Image Super-Resolution Yulun Zhang, Huan Wang, Can Qin, Yun Fu

ICML 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras

ICCV 2021 Context Reasoning Attention Network for Image Super-Resolution Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu

ICML 2021 Don’t Just Blame Over-Parametrization for Over-Confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai, Song Mei, Huan Wang, Caiming Xiong

NeurIPS 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

ICML 2021 How Important Is the Train-Validation Split in Meta-Learning? Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason Lee, Sham Kakade, Huan Wang, Caiming Xiong

ICLR 2021 Neural Pruning via Growing Regularization Huan Wang, Can Qin, Yulun Zhang, Yun Fu

NeurIPS 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai

NeurIPS 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games Yu Bai, Chi Jin, Huan Wang, Caiming Xiong

NeurIPS 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu

NeurIPS 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai, Song Mei, Huan Wang, Caiming Xiong

AISTATS 2020 Assessing Local Generalization Capability in Deep Models Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

NeurIPSW 2020 DIME: An Information-Theoretic Difficulty Measure for AI Datasets Peiliang Zhang, Huan Wang, Nikhil Naik, Caiming Xiong, Richard Socher

NeurIPS 2020 Towards Understanding Hierarchical Learning: Benefits of Neural Representations Minshuo Chen, Yu Bai, Jason Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher

ICML 2019 On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher

ICLR 2018 Adaptive Dropout with Rademacher Complexity Regularization Ke Zhai, Huan Wang

IJCAI 2013 Exact Recovery of Sparse-Used Dictionaries Huan Wang, Daniel A. Spielman, John Wright

COLT 2012 Exact Recovery of Sparsely-Used Dictionaries Daniel A. Spielman, Huan Wang, John Wright

CVPR 2008 Misalignment-Robust Face Recognition Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhuang Liu, Xiaoou Tang

IJCAI 2007 A Convengent Solution to Tensor Subspace Learning Huan Wang, Shuicheng Yan, Thomas S. Huang, Xiaoou Tang

ICCV 2007 Learning Auto-Structured Regressor from Uncertain Nonnegative Labels Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. Huang

CVPR 2007 Trace Ratio vs. Ratio Trace for Dimensionality Reduction Huan Wang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Thomas S. Huang

ICML 2007 Transductive Regression Piloted by Inter-Manifold Relations Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhuang Liu, Xiaoou Tang

CVPR 2000 An Effective Approach to Detect Lesions in Color Retinal Images Huan Wang, Wynne Hsu, Kheng Guan Goh, Mong-Li Lee