Yanjie Ze

According to our database, Yanjie Ze authored at least 20 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies.

Zixuan Chen, Xialin He, Yen-Jen Wang, Qiayuan Liao, Yanjie Ze, Zhongyu Li, S. Shankar Sastry, Jiajun Wu, Koushil Sreenath, Saurabh Gupta, Xue Bin Peng

CoRR, 2024

Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies.

Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu

CoRR, 2024

Catch It! Learning to Catch in Flight with Mobile Dexterous Hands.

Yuanhang Zhang, Tianhai Liang, Zhenyang Chen, Yanjie Ze, Huazhe Xu

CoRR, 2024

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations.

Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu

CoRR, 2024

3D Diffusion Policy.

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

CoRR, 2024

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

Proceedings of the Robotics: Science and Systems XX, 2024

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations.

Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.

Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diffusion Reward: Learning Rewards via Conditional Video Diffusion.

Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Visual Reinforcement Learning With Self-Supervised 3D Representations.

Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang

IEEE Robotics Autom. Lett., May, 2023

Generalizable Visual Reinforcement Learning with Segment Anything Model.

Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu

CoRR, 2023

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation.

Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu

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

MoVie: Visual Model-Based Policy Adaptation for View Generalization.

Sizhe Yang, Yanjie Ze, Huazhe Xu

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

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.

Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2023

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields.

Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2023

2022

Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset.

Yanjie Ze, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UKPGAN: A General Self-Supervised Keypoint Detector.

Yang You, Wenhai Liu, Yanjie Ze, Yong-Lu Li, Weiming Wang, Cewu Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022