Hi, I’m a first-year Ph.D. student at the Institute of Automation, Chinese Academy of Sciences (CASIA), majoring in Control Theory and Control Engineering.

My research focuses on Reinforcement Learning (RL), Vision-Language-Action (VLA) models, and World Models, with a particular interest in building scalable and generalizable embodied intelligence systems.

I am fortunate to be advised by Prof. Dongbin Zhao (赵冬斌) and Prof. Haoran Li (李浩然).

Previously, I received my bachelor’s degree from Nanjing University, where I was enrolled in the Industrial Intelligence and Systems Integration Experimental Program at the School of Engineering and Management.

I’m always open to discussions and collaborations related to RL, robotics, and foundation models for decision making.

🔥 News

• 2026.09:  🎉🎉 Our paper “WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL” has been accepted to CoRL 2026!

📝 Publications

Under Review

WoVR+: World Model as Reliable Simulator for Versatile VLA Policy Optimization with RL

Shangqing Zhou^*, Zhennan Jiang^*, Ning Ma, Xin Fu, Yupeng Zheng, Shuai Tian, Huangrui Li, Jiahao Liu, Chao Yu, Zhongpu Xia, Haoran Li, and Dongbin Zhao

^* Equal contribution.

CoRL 2026

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL

Zhennan Jiang^*, Shangqing Zhou^*, Yutong Jiang, Zefang Huang, Mingjie Wei, Yuhui Chen, Tianxing Zhou, Zhen Guo, Hao Lin, Quanlu Zhang, Yu Wang, Haoran Li, Chao Yu, and Dongbin Zhao

^* Equal contribution.

🎖 Honors and Awards

• 2024.12 National Scholarship, China
• 2025.12 Baosteel Scholarship, China

📖 Educations

• 2026.09 - (now), Phd, CASIA, Beijing.
• 2022.09 - 2026.06, Undergraduate, Nanjing University, Nanjing.

📚 Study Notes

Selected fundamentals and references that I revisit while learning.

• RL for LLM — Reinforcement learning for large language models.
• Flow Matching — Fundamentals of flow matching.