Huang, Jiawei

30 publications

NeurIPS 2025 Adaptive and Multi-Scale Affinity Alignment for Hierarchical Contrastive Learning Jiawei Huang, Minming Li, Hu Ding

ICLR 2025 An Effective Manifold-Based Optimization Method for Distributionally Robust Classification Jiawei Huang, Hu Ding

NeurIPS 2025 Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport Jiawei Huang, Minming Li, Hu Ding

ICML 2025 Can RLHF Be More Efficient with Imperfect Reward Models? a Policy Coverage Perspective Jiawei Huang, Bingcong Li, Christoph Dann, Niao He

ICLRW 2025 Can RLHF Be More Efficient with Imperfect Reward Models? a Policy Coverage Perspective Jiawei Huang, Bingcong Li, Christoph Dann, Niao He

ICLR 2025 Learning to Steer Markovian Agents Under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He

CVPR 2025 Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Jingyi Xu, Xieyuanli Chen, Junyi Ma, Jiawei Huang, Jintao Xu, Yue Wang, Ling Pei

AISTATS 2025 Steering No-Regret Agents in MFGs Under Model Uncertainty Leo Widmer, Jiawei Huang, Niao He

AAAI 2024 AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu, Yi Ren, Yuexian Zou, Zhou Zhao, Shinji Watanabe

CVPR 2024 Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications Junyi Ma, Xieyuanli Chen, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang

NeurIPS 2024 Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jiawei Huang, Zehan Wang, Fuming You, Ruiqi Li, Zhou Zhao

ICMLW 2024 Learning to Steer Markovian Agents Under Model Uncertainty Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He

NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Dipam Chakraborty, Yue Zhao, Marko Tesic, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, Joel Z Leibo

NeurIPS 2024 MimicTalk: Mimicking a Personalized and Expressive 3D Talking Face in Minutes Zhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang, Rongjie Huang, Jinglin Liu, Jinzheng He, Chen Zhang, Zehan Wang, Xize Chen, Xiang Yin, Zhou Zhao

ICML 2024 Model-Based RL for Mean-Field Games Is Not Statistically Harder than Single-Agent RL Jiawei Huang, Niao He, Andreas Krause

AISTATS 2024 On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation Jiawei Huang, Batuhan Yardim, Niao He

ICLR 2024 Real3D-Portrait: One-Shot Realistic 3D Talking Portrait Synthesis Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li, Jiawei Huang, Ziyue Jiang, Jinzheng He, Rongjie Huang, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun Ma, Zhou Zhao

ICML 2023 Make-an-Audio: Text-to-Audio Generation with Prompt-Enhanced Diffusion Models Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao

NeurIPS 2023 Robust Knowledge Transfer in Tiered Reinforcement Learning Jiawei Huang, Niao He

AISTATS 2022 On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction Jiawei Huang, Nan Jiang

ICML 2022 A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes Chengchun Shi, Masatoshi Uehara, Jiawei Huang, Nan Jiang

NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

NeurIPS 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

ICLR 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

ICML 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos Freris, Hu Ding

UAI 2021 Defending SVMs Against Poisoning Attacks: The Hardness and DBSCAN Approach Hu Ding, Fan Yang, Jiawei Huang

ICML 2020 From Importance Sampling to Doubly Robust Policy Gradient Jiawei Huang, Nan Jiang

NeurIPS 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization Nan Jiang, Jiawei Huang

ICML 2020 Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara, Jiawei Huang, Nan Jiang

ECCV 2020 WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun