Scholar
Xiaodong MEI
Google Scholar ID: PqpXJZQAAAAJ
Ph.D. of Computer Science and Engineering, HKUST
Citations & Impact
Citations
402
H-index
7
i10-index
5
Publications
13
Co-authors
0
Contact
Resume
Academic Achievements
- 1. HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning (IROS 2025); 2. Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders (ICCV 2023).
Research Experience
- Currently a final-year Ph.D. candidate, focusing on learning-based motion prediction and planning in autonomous driving. Published papers in top international conferences such as IROS 2025 and ICCV 2023.
Education
- Ph.D. student in Computer Science and Engineering at The Hong Kong University of Science and Technology; Supervisor: Prof. Dan XU; Affiliations: Cheng Kar-Shun Robotics Institute (CKSRI) and Intelligent and Autonomous Driving Center (IADC). Bachelor’s degree in Computer Science and Technology from the University of Chinese Academy of Sciences; Supervisor: Prof. Yongsheng OU.
Background
- Research interests include learning-based motion prediction and planning, reinforcement learning, VLM/VLA, imitation learning, and self-supervised learning. Passionate about exploring cutting-edge technologies in robotics and aims to push the limitations of data-driven approaches for building more human-like and safer intelligent agents in real life.
Miscellany
- Looking for full-time or internship job opportunities, as well as postdoc positions. Feel free to drop an email for any opportunities.