Yuchen Liu (刘育辰)      

Currently, I am a third-year Ph.D. student student at MIN Lab in Electrical Engineering Department of Shanghai Jiao Tong University, advised by Prof. Wenrui Dai and Prof. Hongkai Xiong. Prior to SJTU, I obtained my bachelor degree at Xi'an Jiao Tong University in 2020.

I'm interested in computer vision and deep learning, which include but not limit to Transfer Learning, Self-supervised Learning, Domain Generalization and Face Anti-Spoofing.

Please drop me an email if you are interested in corporation with us.

Email  /  Google Scholar  /  Github  /  ResearchGate

News

  • [2024/02]   One paper is accepted by TPAMI (IF=24.3).
  • [2023/10]   I am invited to serve as a reviewer for CVPR 2024.
  • [2023/10]   One paper about multi-modal large language model is released on Arxiv.
  • [2023/07]   One paper is accepted by ACMMM 2023.
  • [2023/07]   One paper is accepted by ICCV 2023.
  • [2023/02]   Two papers are accepted by CVPR 2023.
  • [2023/02]   I am invited to serve as a reviewer for ICCV 2023.
  • [2023/02]   One paper is accepted by ICASSP 2023.
  • [2022/11]   I am invited to serve as a reviewer for CVPR 2023.
  • [2022/07]   Two papers are accepted by ECCV 2022.
  • [2022/03]   One paper is accepted by ICME 2022 as Oral.
  • [2021/07]   One paper is accepted by ICCV 2021.

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    Education

    Xi'an Jiao Tong University (XJTU), Xi'an, China
    Bachelor Degree in Electrical Engineering and Automation      • Sep. 2016 - Jun. 2020
    GPA: 93.56/100,   TOFEL: 107/120,   GRE: 335/340,   Ranking: 5/345
    Supervisor: Prof. Zhibin Pan

    Shanghai Jiao Tong University (SJTU), Shanghai, China
    Third-year Ph.D. in MIN Lab, Department of Electrical Engineering      • Aug. 2020 - Present
    Supervisor: Prof. Wenrui Dai and Prof. Hongkai Xiong

    Research Experience

    Qualcomm University Research Collaboration
    Research Leader       • Nov. 2020 - Nov. 2022
    Advisors:   Prof. Mengran Gou and Prof. Xuan Zou.

    Huawei Cloud
    Research       • Nov. 2022 - Now

    Publication [Google Scholar]
    Source-Free Domain Adaptation With Domain Generalized Pretraining for Face Anti-Spoofing
    Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong  
    IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2024.
    Area: Domain Generalization, Domain Adaptation, Face Anti-Spoofing

    From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
    Dongsheng Jiang*, Yuchen Liu*, Songlin Liu, Xiaopeng Zhang, Jin Li, Hongkai Xiong, Qi Tian,  
    Arxiv 2023
    Area: Multi-modal Large Language Model

    VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients
    Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian,  
    ACM International Conference on Multimedia, ACM MM 2023
    Area: Parameter-efficient Tuning, Multi-modal Foundation Model

    Towards Unsupervised Domain Generalization for Face Anti-Spoofing
    Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong,  
    International Conference on Computer Vision, ICCV 2023
    [Paper], [Poster]
    Area: Unsupervised Domain Generalization, Face Anti-Spoofing

    Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
    Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong,  
    Computer Vision and Pattern Recognition, CVPR 2023
    [Paper], [Poster], [Video]
    Area: Self-supervised Contrastive Learning, Unsupervised Domain Generalization

    Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
    Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian  
    Computer Vision and Pattern Recognition, CVPR 2023
    [Paper], [Poster], [Slide], [Video]
    Area: Parameter-efficient Finetuning

    Learning Causal Representations for Generalizable Face Anti Spoofing
    Guanghao Zheng*, Yuchen Liu*, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong,  
    2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
    [Paper]
    Area: Causal Inference, Domain Generalization, Face Anti-Spoofing

    Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-Spoofing
    Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong,  
    European Conference on Computer Vision, ECCV 2022
    [Paper], [Code], [Poster], [Video]
    Area: Domain Adaptation, Face Anti-Spoofing

    SdAE: Self-distillated Masked Autoencoder
    Yabo Chen*, Yuchen Liu*, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian, European Conference on Computer Vision, ECCV 2022
    [Paper], [Code], [Poster]
    Area: Self-supervised Learning

    Causal Intervention for Generalizable Face Anti-Spoofing
    Yuchen Liu, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong,  
    IEEE International Conference on Multimedia and Expo, ICME 2022 Oral
    [Paper], [Slides], [Video]
    Area: Causal Inference, Domain Generalization, Face Anti-Spoofing
    Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
    Yaoming Wang*, Yuchen Liu*, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong,  
    IEEE International Conference on Computer Vision, ICCV 2021
    [Paper], [Poster]
    Area: Mutual Information, Neural Architecture Search

    Academic Service

  • Conference Reviewer:   ACMMM'22, CVPR'23, ICME'23, ICCV'23, CVPR'24, ECCV'24, ACMMM'24
  • Journal Reviewer:   TPAMI, IJCV, TMM

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    Honors & Scholarships

  • National Scholarship (Top 2% student),  2017, 2018
  • ZhangXu Academician Scholarship (Only 10 students per year in Department),  2020-2025

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    Last updated on July, 2023

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