Kaizhe Hu - RankMe

23 papers A* 9Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation. CoRR Huanyu Li, Kun Lei, Sheng Zang, Kaizhe Hu, Yongyuan Liang, Bo An, Xiaoli Li, Huazhe Xu
2026	J	`jnl`	OmniClone: Engineering a Robust, All-Rounder Whole-Body Humanoid Teleoperation System. CoRR Yixuan Li, Le Ma, Yutang Lin, Yushi Du, Mengya Liu, Kaizhe Hu, Jieming Cui, Yixin Zhu, Wei Liang, Baoxiong Jia, Siyuan Huang
2025	A*	`conf`	DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo. ICLR Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan, Kaizhe Hu, Huazhe Xu
2025	J	`jnl`	Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids. CoRR Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, C. Karen Liu, Shuran Song
2025	A*	`conf`	Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion. ICLR Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu
2024	J	`jnl`	DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo. CoRR Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan, Kaizhe Hu, Huazhe Xu
2024	A*	`conf`	Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. NeurIPS Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
2024	J	`jnl`	Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
2024	A*	`conf`	Rethinking Transformers in Solving POMDPs. ICML Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu
2024	J	`jnl`	Rethinking Transformers in Solving POMDPs. CoRR Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu
2024	—	`conf`	Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. ECCV (41) Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu
2024	J	`jnl`	Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. CoRR Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu
2024	J	`jnl`	Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion. CoRR Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu
2024	A*	`conf`	Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. ICLR Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
2023	A*	`conf`	Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
2023	J	`jnl`	Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? CoRR Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
2023	A*	`conf`	Decision Transformer under Random Frame Dropping. ICLR Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
2023	J	`jnl`	Decision Transformer under Random Frame Dropping. CoRR Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
2023	A*	`conf`	Extraneousness-Aware Imitation Learning. ICRA Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
2023	A*	`conf`	RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. NeurIPS Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu
2023	J	`jnl`	RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. CoRR Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu
2023	J	`jnl`	Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. CoRR Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
2022	J	`jnl`	Extraneousness-Aware Imitation Learning. CoRR Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu