Demystifying Action Space Design for Robotic Manipulation Policies
International Conference on Machine Learning (ICML), 2026
Ph.D. Candidate, Tsinghua University
I am a Ph.D. candidate in Mechanical Engineering at the Institute for AI Industry Research (AIR), Tsinghua University. I work on embodied AI, with a particular interest in generalist robot policies, cross-embodiment learning, multimodal representation learning, and generative models.
I am advised by Prof. Xianyuan Zhan and Prof. Ya-Qin Zhang. I am always open to research discussions and collaboration.
Research updates and recognitions
Embodied AI · Robot Learning · Vision-Language-Action Models · Cross-Embodiment Learning · Multimodal Representation Learning · Generative Models
* denotes equal contribution
International Conference on Machine Learning (ICML), 2026
International Conference on Learning Representations (ICLR), 2026
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Advances in Neural Information Processing Systems (NeurIPS), 2024
International Conference on Machine Learning (ICML), 2024
2023–Present
Ph.D. Candidate in Mechanical Engineering
School of Vehicle and Mobility · Institute for AI Industry Research
2019–2023
B.S. in Computer Science and Technology
Excellent Graduate
Research, academic, and competition distinctions