Runjian Chen
Scholar

Runjian Chen

Google Scholar ID: _USUMdAAAAAJ
The University of Hong Kong ; MMLAB@HKU
Unsupervised 3D Scene Understanding
Citations & Impact
All-time
Citations
982
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - NeurIPS 2025 Scholar Award
  • - 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
  • - Published papers include TREND, SPOT, TOP, Cosmos-Drive-Dreams, JiSAM, etc.
Research Experience
  • - Research Intern, Nvidia Spatial Intelligence Lab, May 2025 - Present, California
  • - Research Cooperation, Stanford Geometry Group, Dec 2024 - Present, California
  • - Research Intern, Cruise, Jun 2024 - Sep 2024, California
  • - Visiting PhD Student, Yale University, Mar 2024 - Sep 2024, Connecticut
Education
  • - Bachelor's Degree: Automation, 2016-2020, Zhejiang University, Supervisors: Prof. Rong Xiong, Prof. Yue Wang
  • - Doctoral Degree: Computer Science, 2021-Present, University of Hong Kong, Supervisor: Prof. Ping Luo, Co-advised by: Prof. Wenping Wang, Prof. Xiaoou Tang
  • - Visiting Student: 2024.01-2024.10, Yale University
Background
  • - Research Interests: Unsupervised Representation Learning, Autonomous Driving, Long-horizon Manipulation Learning
  • - Professional Field: Computer Science
  • - Biography: Currently a PhD student at the University of Hong Kong, focusing on unsupervised 3D representation learning and its applications in autonomous driving and embodied AI.
Miscellany
  • - Actively looking for Post-Doc / Research Scientist position starting from Mid 2026
  • - Looking for self-motivated students to collaborate on unsupervised 3D scene understanding for autonomous driving and embodied AI
Co-authors
0 total
Co-authors: 0 (list not available)