Qingwen Zhang
Ph.D. student, School of Electrical Engineering and Computer Science, KTH

Hi there 👋. Welcome to Qingwen Zhang (张清文) / Kin Zhang (张聪明) Page. I’m a Ph.D. student at the DIVISION OF ROBOTICS, PERCEPTION AND LEARNING at KTH Royal Institute of Technology, supervised by Prof. Patric Jensfelt and Prof. Olov Andersson. My Ph.D. research interests mainly focus on Self-Supervised Understanding of Dynamic Scenes supported by WASP.
I graduated with an MPhil from the Robotics Institute RAMLAB of Hong Kong University of Science and Technology, supervised by Prof. Ming Liu and Prof. Wei Zhang. My MPhil research interests mainly include planning and imitation learning in autonomous driving. Because of lab cooperation, I know other aspects, like SLAM, segmentation, and elevation mapping etc.
News
Jul 1, 2025 | Our AGO: Adaptive Grounding for Open World 3D Occupancy Prediction paper is accepted by ICCV 2025. ![]() |
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Feb 1, 2025 | Our SSF: Sparse Long-Range Scene Flow for Autonomous Driving paper is accepted by ICRA 2025. Feel free to check our OpenSceneFlow codebase ![]() |
Jul 3, 2024 | Our SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving paper is accepted by ECCV 2024. The 1st ranking on Argoverse 2 Self-supervised scene flow leaderboard. ![]() |
Jun 5, 2024 | Our BeautyMap accepted by RA-L; Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models accepted and presented in IV 2024 ![]() |
Selected Publications
* means co-first authors2025
2024
2023
2022
Service
- KTH-RPL GPU Cluster Admin Group Member, Check our cluster-wiki
- Reviewer Service: RA-L, ICRA, IROS, NeurIPS, ICCV
Awards
2019 Outstanding college students and 2017 Outstanding athletes in Tianjin, China