Hu, Kaizhe

10 publications

ICLR 2025 DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan, Kaizhe Hu, Huazhe Xu

CoRL 2025 Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, Karen Liu, Shuran Song

ICLR 2025 Stem-OB: Generalizable Visual Imitation Learning with Stem-like Convergent Observation Through Diffusion Inversion Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu

NeurIPS 2024 Make-an-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu

ICML 2024 Rethinking Transformers in Solving POMDPs Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu

ECCV 2024 Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu

ICLR 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu

NeurIPS 2023 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu

ICLR 2023 Decision Transformer Under Random Frame Dropping Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu

NeurIPS 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu