Biography
I am now a fourth-year PhD student at University of Hong Kong and HKU-MMLab, fortunately supervised by Prof. Ping Luo and co-advised by Prof. Wenping Wang and Xiaoou Tang. I work closely with Prof. Alex Wong, Dr. Wenqi Shao and Dr. Bo Zhang. My current research focus is on unsupervised 3D scene understanding and its application in autonomous driving and embodied AI.
Previously, I received my bachelor’s degree in Automation at Zhejiang Univerisity with an honor degree for the Mixed Class at Chu Kochen Honor College in July, 2020. At ZJU, I worked under the supervision of Prof. Rong Xiong and Yue Wang at ZJU.
Interests
- Unsupervised Representation Learning
- Autonomous Driving
- Long-horizon Manipulation Learning
Education
BE in Automation, 2016--2020
Zhejiang University
PhD in Computer Science, 2021--now
University of Hong Kong
Visiting Student, 2024.01--2024.10
Yale University
News
- [Top] I am actively looking for Post-Doc / Research Scientist position starting from early 2026 / late 2025. Please reach out if there is a good match.
- [Top] We are looking for self-motivated students to collaborate on unsupervised 3D scene understanding for autonomous driving and embodied AI. Drop me an email if you are interested.
- 2024-05-01: 3 papers accepted by ICML 2024. MMT-Bench from Wenqi, Implicit Prompt from Yue and RoboCodeX from Yao. Congrats!
- 2024-03-18: Our work CurriculumLoc on place recognition for remote sensing is accepted in TGRS. Congrats on Boni! [paper] [code]
- 2024-01-07: Join Yale Vision Laboratory as a visiting student.
- 2023-07-29: An extended version of CycleMLP is accepted in T-PAMI. Congrats on Shoufa! [paper] [code]
- 2023-02-28: Our work MV-JAR on MAE-based unsupervised 3D representation learning for LiDAR point clouds is accepted in CVPR 2023. Congrats on Runsen! [paper] [code]
- 2023-01-21: Our work CO^3 on Cooperative-Contrastive-based unsupervised 3D representation learning for LiDAR point clouds is accepted in ICLR 2023. Paper is available here and code is also released.
- 2023-01-17: Our work “Failure-Aware Policy Learning for Self-Assessable Robotics Tasks” is accepted in ICRA 2023. Congrats on Kechun! [paper]
- 2022-05-15: Our work CtrlFormer is accepted in ICML 2022. Congrats on Yao! [code]
- 2022-03-02: Our work RestoreFormer is accepted in CVPR 2022. Congrats on Zhouxia! [paper] [code]
- 2022-01-29: Our work CycleMLP is accepted in ICLR 2022 as oral presentation (1.6% acceptance rate). Congrats on Shoufa! [paper] [code]
- 2021-07-30: Y S and Christabel Lung Postgraduate Scholarship offer.
- 2021-04-12: Hong Kong PhD Fellowship offer.
- 2021-02-18: A paper is accepted in IEEE Transactions on Intelligent Transportation Systems. (IF=6.3) [paper]
- 2021-02-09: HKU Presidential Scholarship offer.
- 2021-02-04: An RA-L paper is accepted and will be presented in ICRA 2021. See you in Xi’an, China! [paper] [code]
Publications
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(2024).
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.
(2022).
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.
Proceedings of the 39 th International Conference on Machine Learning.
(2022).
CycleMLP: A MLP-like Architecture for Dense Prediction.
The 10th International Conference on Learning Representations (Oral Presentation, 1.6% acceptance rate).
(2022).
Deep Samplable Observation Model for Global Localization and Kidnapping.
IEEE ROBOTICS AND AUTOMATION LETTERS (RA-L).
Awards
- Y S and Christabel Lung Postgraduate Scholarship, 2021
- Hong Kong PhD Fellowship, 2021-2025
- HKU Presidential PhD Scholarship, 2021-2025
- SUPCON Scholarship, 2019
- Second-class Scholarship for Academic Excellence, 2019
- Hailiang Scholarship, 2018
- First-class Scholarship for Academic Excellence, 2017 & 2018
Experience
Research Intern
Shanghai AI Lab
Research Intern
Cruise
Visiting PhD Student
Yale University
Research Intern
Shanghai AI Lab