Zhang, Hai

11 publications

JMLR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Shao-Bo Lin, Xiaotong Liu, Di Wang, Hai Zhang, Ding-Xuan Zhou

ICML 2025 CERTAIN: Context Uncertainty-Aware One-Shot Adaptation for Context-Based Offline Meta Reinforcement Learning Hongtu Zhou, Ruiling Yang, Yakun Zhu, Haoqi Zhao, Hai Zhang, Di Zhang, Junqiao Zhao, Chen Ye, Changjun Jiang

CoRL 2025 KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation Di Zhang, Chengbo Yuan, Chuan Wen, Hai Zhang, Junqiao Zhao, Yang Gao

ICLR 2025 Scrutinize What We Ignore: Reining in Task Representation Shift of Context-Based Offline Meta Reinforcement Learning Hai Zhang, Boyuan Zheng, Tianying Ji, JinHang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li

NeurIPS 2024 Focus on What Matters: Separated Models for Visual-Based RL Generalization Di Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang

AAAI 2024 HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao

AAAI 2024 Multi-Constellation-Inspired Single-Shot Global LiDAR Localization Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu

CVPR 2024 Simple Semantic-Aided Few-Shot Learning Hai Zhang, Junzhe Xu, Shanlin Jiang, Zhenan He

NeurIPS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng

NeurIPS 2023 How to Fine-Tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang, Hongtu Zhou, Chang Huang, Chen Ye

JMLR 2023 Randomized Spectral Co-Clustering for Large-Scale Directed Networks Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang