I am currently a Ph.D. candidate at the Department of Computer Science (CS), the University of Hong Kong (HKU), supervised by Prof. Yizhou YU (IEEE/ACM Fellow) and Prof. Guanbin LI (from Sun Yat-sen University). Prior to HKU, I received the M.Eng. degree in Computer Technology at South China University of Technology, under the supervision of Prof. Si WU and Prof. Zhiwen YU.

Research interests involve computer vision and deep learning, with an emphasis on weakly supervised learning, such as semi-supervised learning, domain adaptation, learning with noisy labels, etc.

πŸ”₯ News

  • [2024.02] Β πŸŽ‰πŸŽ‰ Two of our work [LBP & AlignSAM] are accepted by CVPR2024. Congratulations to Jiaming and Duojun!
  • [2023.12] Β πŸŽ‰πŸŽ‰ One of our work [FedDiv] is accepted by AAAI2024.
  • [2023.10] Β πŸŽ‰πŸŽ‰ One of our work [IDM] is accepted by Elsevier PR2023.
  • [2023.09] Β πŸŽ‰πŸŽ‰ One of our work [G-ABC] is accepted by IEEE TIP2023.
  • [2023.03] Β πŸŽ‰πŸŽ‰ One of our work [DiaNA] is accepted by CVPR2023. Congratulations to Duojun!
  • [2022.07] Β πŸŽ‰πŸŽ‰ One of our work [NCE] is accepted by ECCV2022.
  • [2021.03] Β πŸŽ‰πŸŽ‰ One of our work [CDAC] is accepted by CVPR2021.
  • [2020.07] Β πŸŽ‰πŸŽ‰ Graduated from South China University of Technology. Congratulations to Jichang!
  • [2019.07] Β πŸŽ‰πŸŽ‰ One of our work is accepted by IEEE TIP2019.
  • [2019.05] Β πŸŽ‰πŸŽ‰ One of our work is accepted by IEEE/ACM TASLP2019.
  • [2019.02] Β πŸŽ‰πŸŽ‰ Two of our work are accepted by CVPR2019.

Educations

  • [2020.09 - 2024.09 (expected)] Doctor of Philosophy (Ph.D.), Department of Computer Science, The University of Hong Kong, Hong Kong.
  • [2017.09 - 2020.06] Master of Engineering (M.Eng.), School of Computer Science & Engineering, South China University of Technology, Guangzhou.

Experiences

  • [2020.09 - 2024.08] Teaching Assistant, Department of Computer Science, The University of Hong Kong, Hong Kong.
  • [2023.07 - 2023.12] Research intern, Zhejiang Lab, Hangzhou.
  • [2016.03 - 2016.10] Exchange student, BGI Research, Shenzhen.

Professional Services

  • Conference reviewers:
    The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023/2024
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2023
    The European Conference on Computer Vision (ECCV), 2024
    The Asian Conference on Computer Vision (ACCV), 2024
    The British Machine Vision Conference (BMVC), 2022

  • Journal reviewers:
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    IEEE Transactions on Image Processing (TIP), 2023
    Information Sciences, 2023
    The Visual Computer, 2021

Others

  • Selected Honors and Awards:
    [2020 - 2024] HKU Postgraduate Scholarship, The University of Hong Kong, Hong Kong.
    [2020] National Scholarship for Postgraduates (top 1), Ministry of Education, China.
    [2016] National Encouragement Scholarship for Undergraduates, Ministry of Education, China.

  • Assisted with courses as a Teaching Assistant (TA) in HKU-CS:
    COMP8501, Advanced topics in computer graphics, HKU-CS, Sem 2nd 2023-2024 (2024Spring).
    COMP3278B, Introduction to database management systems (BBA IS), HKU-CS, Sem 2nd 2022-2023 (2023Spring).
    COMP7404, Computational intelligence and machine learning [Section 1B, 2021], HKU-CS, Sem 1st 2021-2022 (2021Fall).
    ENGG1330, Computer programming I, HKU-CS, Sem 1st 2020-2021 (2020Fall).

  • Language skills:
    Mandarin (native), Cantonese (native), English (acquired)

πŸ“ Publications

Conference

  • Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
    Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li
    To appear in The IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR2024)

  • AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
    Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li
    To appear in The IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR2024)

  • FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
    Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, and Yizhou Yu
    The Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024 (AAAI2024)
    [PDF][ArXiv][FULL][SUPP][CODE][OFFICIAL][CODE][BibTex]

  • Divide and Adapt: Active Domain Adaptation via Customized Learning
    Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, and Guanbin Li
    The IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR2023 Highlight)
    [PDF][ArXiv][SUPP][CODE][BibTex]

  • Neighborhood Collective Estimation for Noisy Label Identification and Correction
    Jichang Li, Guanbin Li, Feng Li, and Yizhou Yu
    European Conference on Computer Vision, 2022 (ECCV2022)
    [OFFICIAL][PDF][ArXiv][SUPP][CODE][BibTex]

  • Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
    Jichang Li, Guanbin Li, Yemin Shi, and Yizhou Yu
    The IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR2021)
    [PDF][ArXiv][SUPP][CODE][BibTex]

  • Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
    Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, and Hau-San Wong
    The IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR2019 Oral)
    [PDF][BibTex]

  • Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification
    Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, and Hau-San Wong
    The IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR2019)
    [PDF][BibTex]

Journal

  • Inter-Domain Mixup for Semi-Supervised Domain Adaptation
    Jichang Li, Guanbin Li, and Yizhou Yu
    Elsevier Pattern Recognition, 2023 (Elsevier PR2023)
    [PDF][ArXiv][ResearchGate][BibTex]

  • Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
    Jichang Li, Guanbin Li, and Yizhou Yu
    IEEE Transactions on Image Processing, 2023 (IEEE TIP2023)
    [PDF][ArXiv][ResearchGate][BibTex]

  • Semi-Supervised Deep Coupled Ensemble Learning with Classification Landmark Exploration
    Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, and Hau-San Wong
    IEEE Transactions on Image Processing, 2019 (IEEE TIP2019)
    [PDF][BibTex]

  • Relation Classification via Keyword-Attentive Sentence Mechanism and Synthetic Stimulation Loss
    Luoqin Li, Jiabing Wang, Jichang Li, Qianli Ma, and Jia Wei
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019 (IEEE/ACM TASLP2019)
    [PDF][BibTex]