Kaizhe Hu

According to our database, Kaizhe Hu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence.

Jiawei Zhang, Kaizhe Hu, Yingqian Huang, Yuanchen Ju, Zhengrong Xue, Huazhe Xu

CoRR, April, 2026

OmniClone: Engineering a Robust, All-Rounder Whole-Body Humanoid Teleoperation System.

Yixuan Li, Le Ma, Yutang Lin, Yushi Du, Mengya Liu, Kaizhe Hu, Jieming Cui, Yixin Zhu, Wei Liang, Baoxiong Jia, Siyuan Huang

CoRR, March, 2026

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation.

Huanyu Li, Kun Lei, Sheng Zang, Kaizhe Hu, Yongyuan Liang, Bo An, Xiaoli Li, Huazhe Xu

CoRR, January, 2026

2025

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids.

Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, C. Karen Liu, Shuran Song

CoRR, August, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Transformers in Solving POMDPs.

Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu

CoRR, 2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraneousness-Aware Imitation Learning.

Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Decision Transformer under Random Frame Dropping.

Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023