A glimpse of Hermosa Beach, Los Angeles, California, where La La Land was filmed.
Hi, I am a Junior Research Scientist at the Shanghai Artificial Intelligence Laboratory, leading research on dexterous manipulation for embodied AI.
I received my Ph.D. in Computer Science from Shanghai Jiao Tong University in 2025, supervised by Prof. Minyi Guo and Prof. Hongzi Zhu. Besides, I was a student in the Wenjun Wu AI Honours Class, advised by Prof. Cewu Lu. I have also gained international and industrial research experience. I conducted research at UCLA under the supervision of Prof. Bolei Zhou, and previously worked as a research intern at OpenDriveLab, advised by Prof. Hongyang Li, where I was involved in autonomous driving–related research.
My research interest includes robotics, generative models, and embodied AI.
🔥 News
- 2026.01: 🔥 InterVLA-A1 released
- 2024.12: 🔥 SimGen released
- 2024.06: 💻 Host the CVPR2024 workshop on Autonomous Grand Challenge
- 2024.03: 🔥 ELM released
- 2024.01: 🎉 Become a visiting scholar at the University of California, Los Angeles, go bruins!
- 2023.06: 💻 Host the CVPR2023 workshop on E2EAD
- 2022.12: 🎉 Become a member of OpenDriveLab
- 2022.09: 🎉 Enrolled in Wenjun Wu AI Hornour Class
💻 Research
InternRobotics | Shanghai AI Laboratory
2025.09 - (present), Dexterous Manipulation for Embodied AI. Supervisor: Jiangmiao Pang.
MetaDriverse | University of California, LA
2024.01 - 2024.07, Video Diffusion Models and Driving Simulators. Supervisor: Bolei Zhou.
OpenDriveLab | Shanghai AI Lab
2022.12 - 2025.06, End-to-end Autonomous Driving and Driving with Language. Supervisor: Hongyang Li.
LION | Shanghai Jiao Tong University
2020.09 - 2025.06, Perception in Autonomous Driving. Supervisor: Hongzi Zhu and Minyi Guo.
📝 Publications
🔥Highlighted Papers
InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
Junhao Cai, Zetao Cai, Jiafei Cao, Yilun Chen, Zeyu He, Lei Jiang, Hang Li, Hengjie Li, Yang Li, Yufei Liu, Yanan Lu, Qi Lv, Haoxiang Ma, Jiangmiao Pang, Yu Qiao, Zherui Qiu, Yanqing Shen, Xu Shi, Yang Tian, Bolun Wang, Hanqing Wang, Jiaheng Wang, Tai Wang, Xueyuan Wei, Chao Wu, Yiman Xie, Boyang Xing, Yuqiang Yang, Yuyin Yang, Qiaojun Yu, Feng Yuan, Jia Zeng, Jingjing Zhang, Shenghan Zhang, Shi Zhang, Zhuoma Zhaxi, Bowen Zhou, Yuanzhen Zhou, Yunsong Zhou, Hongrui Zhu, Yangkun Zhu, Yuchen Zhu
Decoupled Diffusion Sparks Adaptive Scene Generation
Yunsong Zhou, Naisheng Ye, William Ljungbergh, Tianyu Li, Jiazhi Yang, Zetong Yang, Hongzi Zhu, Christoffer Petersson, Hongyang Li
SimGen: Simulator-conditioned Driving Scene Generation
Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, and Bolei Zhou
Embodied Understanding of Driving Scenarios
Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, and Hongyang Li
Perception in Autonomous Driving
Exploiting Grounding Depth Estimation for Mobile Monocular 3D Object Detection
Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, and Minyi Guo
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, and Minyi Guo
Density-invariant Features for Distant Point Cloud Registration
Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, and Minyi Guo
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction
Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, and Minyi Guo
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, and Minyi Guo
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, and Minyi Guo. Spotlight.
MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series
Yunsong Zhou, Hongzi Zhu, Chunqin Li, Tiankai Cui, Shan Chang, and Minyi Guo
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang
Projects
OpenScene: The large-scale dataset used for the End-to-End Driving and Predictive World Model tracks for the CVPR 2024 Autonomous Grand Challenge.
📖 Educations
- 2020.09 - Present, Ph.D., Computer Science, SEIEE, Shanghai Jiao Tong University.
- 2024.01 - 2024-07, Visiting Scholar, University of California, Los Angeles.
- 2016.09 - 2020.06, Bachelor, Microelectronic Science and Technology, SEIEE, Shanghai Jiao Tong University.
💬 Invited Talks
- 2024.07 Invited by SONY to give a talk on
Generative Models in Autonomous Driving - 2023.08 Invited by Motional to give a talk on
End-to-end Autonomous Driving