Runjian Chen 陈润健

PhD Student

University of Hong Kong

Biography

I am now a third-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] 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]

Selected Publications

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Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo (2022). COˆ3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

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Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo (2022). CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. Proceedings of the 39 th International Conference on Machine Learning.

Shoufa Chen, Enze Xie, Chongjian GE, Runjian Chen, Ding Liang, Ping Luo (2022). CycleMLP: A MLP-like Architecture for Dense Prediction. The 10th International Conference on Learning Representations (Oral Presentation, 1.6% acceptance rate).

Runjian Chen, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Yue Wang, and Rong Xiong (2022). Deep Samplable Observation Model for Global Localization and Kidnapping. IEEE ROBOTICS AND AUTOMATION LETTERS (RA-L).

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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