Sanqing Qu (瞿三清)

Postdoctoral Researcher

Tongji University

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Sanqing Qu

About

Hi there, I am currently a postdoctoral researcher at Tongji University, jointly supervised by Prof. Guang Chen and Prof. Changjun Jiang. I earned my Ph.D. from Tongji University in 2024.

My research focuses on transfer learning and its applications in Embodied AI and AI4Science. I am particularly interested in developing robust and efficient algorithms for pattern recognition and their applications in computer vision, robotics, and drug discovery.

I am open to new opportunities and collaborations. If you are interested in my research, please feel free to contact me.

Recent News

2025-07 Our work GLC++, a substantial extension to GLC (CVPR 2023), is accepted by IEEE TPAMI.
2025-03 Our work RCP-Bench, a benchmark for evaluating robustness of collaborative perception, is accepted by CVPR 2025.
2025-01 Our work BMD-v2, a substantial extension to BMD (ECCV 2022), is accepted by IJCV.
2024-12 We won the first prize (1/226) in the 2nd Global AI Drug Development Algorithm Competition.
2024-07 Our work HGL on test-time domain adaptation for segmentation is accepted by ECCV 2024 (Oral).
2024-02 Our work LEAD on source-free universal domain adaptation is accepted by CVPR 2024.

Selected Publications

* indicates equal contribution

GLC++

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang
TPAMI IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
[IEEE] [arXiv] [code]
BMD-v2

General Class-Balanced Multicentric Dynamic Prototype Pseudo-Labeling for Source-Free Domain Adaptation

Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao
IJCV International Journal of Computer Vision (IJCV), 2025
[pdf] [code]
RCP-Bench

RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions

Shihang Du, Sanqing Qu, Tianghang Wang, Xudong Zhang, Yunwei Zhu, Jian Mao, Fan Lu, Qiao Lin, Guang Chen
CVPR IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
[pdf] [code]
HGL

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou*, Sanqing Qu*, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang
ECCV European Conference on Computer Vision (ECCV), 2024
[arXiv] [code]
LEAD

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang
CVPR IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
[arXiv] [code]
MAP

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

Boyang Peng*, Sanqing Qu*, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang
CVPR IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
[arXiv]
GLC

Upcycling Models under Domain and Category Shift

Sanqing Qu*, Tianpei Zou*, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang
CVPR IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
[arXiv] [pdf] [code] [slides] [poster] [video]
MAD

Modality-Agnostic Debiasing for Single Domain Generalization

Sanqing Qu, Yingwei Pan, Guang Chen, Ting Yao, Changjun Jiang, Tao Mei
CVPR IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
[arXiv] [pdf] [slides] [poster] [video]
EFall

Neuromorphic Vision-based Fall Localization in Event Streams with Temporal–spatial Attention Weighted Network

Guang Chen*, Sanqing Qu*, Zhijun Li, Haitao Zhu, Jiaxuan Dong, Min Liu, Jorg Conradt
T-CYB IEEE Transactions on Cybernetics (T-CYB), 2022
[IEEE]
ACM-Net

ACM-Net: Action Context Modeling Network for Weakly-supervised Temporal Action Localization

Sanqing Qu, Guang Chen, Zhijun Li, Lijun Zhang, Fan Lu, Alois Knoll
arXiv arXiv Preprint, 2021
[arXiv] [code]

Education & Experience

2024.12 - Present
Postdoctoral Researcher
Tongji University
2020.09 - 2024.11
Ph.D. in Automotive Engineering
Tongji University
2015.09 - 2020.07
B.S. in Automotive Engineering
Tongji University

Selected Honors & Awards

2024 First Prize in the 2nd Global AI Drug Development Algorithm Competition (1/226)
2022, 2021 Outstanding Doctoral Student Scholarship, Tongji University
2020 Shanghai Outstanding Graduate
2019 BaoGang Scholarship (宝钢优秀学生奖学金 - 全国每年约500名)

Academic Services

Journal Reviewer

IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, IEEE TCSVT, ACM TOMM, ESWA, etc.

Conference Reviewer

CVPR, ICCV, ECCV, NeurIPS, AAAI, WACV, ICRA, IROS, etc.

BibTeX Citation