Qingchao ChenPh.D.

Assistant Professor, National Institute of Health Data Science, Peking University

Contact Info

qingchao.chen@pku.edu.cn; qingchao.chen@bjmu.edu.cn

No.38 Xueyuan Rd.; Haidian District; Beijing; China. 100091


Education & Postdoctoral Training

Postdoc Researcher, 2018-2021

University of Oxford, UK

Advisor: Prof. Alison Noble

Ph.D., 2013-2018

University College London, London, UK

Advisor: Dr. Kevin Chetty, Prof. Karl Woodbridge

B.Sc., 2009-2013

University of Post and Telecommunications, Beijing, China

Advisor: Prof. Aidong Men

Editorial Board

PC Member | Reviewer

AAAI Conference 2021, 2022

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2020, 2021,2022

IEEE International Conference on Computer Vision (ICCV) 2019,2021

European Conference on Computer Vision (ECCV) 2020

Pattern Recognition Journals

Major Awards and Honors

3rd Prize Winner, ICCV 2019 Multi-Moment Action Classification, 2019

Best Student Paper Nominee, International Radar Conference, 2018

National Instruments Awards

IEEE Spectrum News

RSVision Coverage for ISBI Challenge 2021

BIBLIOGRAPHY  (Full Paper List)

Wentao Ma. Qingchao Chen. Fang Liu. Tongqing Zhou. Zhiping Chai, "Query-Adaptive Late Fusion for Hierarchical Fine-Grained Video-Text Retrieval", in IEEE Transactions on Neural Networks and Learning Systems.

Xu, Yinsong, Zhuqing Jiang, Aidong Men, Yang Liu, and Qingchao Chen. "Delving into the Continuous Domain Adaptation." ACM Multimedia Conference 2022. (CCF-A Conference)

Zhu, Yonggang, Chao Tian, Zhuqing Jiang, Aidong Men, Haiying Wang, and Qingchao Chen. "Mixed In Time And Modality: Curse Or Blessing Cross-Instance Data Augmentation for Weakly Supervised Multimodal Temporal Fusion." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

Yang Liu; Qingchao Chen; Samuel Albanie; Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021) (CCF-A Conference)

Qingchao Chen; Yang Liu; Samuel Albanie; Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021) (CCF-A Conference)