Jichang is currently working as an assistant researcher at Pengcheng National Laboratory (PCNL) in Shenzhen. Previously, he obtained his PhD degree at the Department of Computer Science (CS), the University of Hong Kong (HKU), supervised by Prof Yizhou YU (IEEE/ACM Fellow) and closely worked with Prof Guanbin LI (from Sun Yat-sen University). Prior to HKU, Jichang received his MEng degree in Computer Technology at South China University of Technology, advised by Prof Si WU and Prof Zhiwen YU.

🔥 News

[2025.02] One of our journal work [DECO] is accepted by IEEE TIP2025. Congratulations to Junye!
[2024.08] Jichang has passed the PhD Dissertation Defense. Congratulations to Dr. LI!
[2024.02] Two of our conference work [LBP & AlignSAM] are accepted by CVPR2024. Congratulations to Jiaming and Duojun!
[2023.12] One of our conference work [FedDiv] is accepted by AAAI2024.
[2023.10] One of our journal work [IDM] is accepted by Elsevier PR2023.
[2023.09] One of our journal work [G-ABC] is accepted by IEEE TIP2023.
[2023.03] One of our conference work [DiaNA] is accepted by CVPR2023. Congratulations to Duojun!
[2022.07] One of our conference work [NCE] is accepted by ECCV2022.
[2021.03] One of our conference work [CDAC] is accepted by CVPR2021.
[2020.07] Jichang has graduated from South China University of Technology. Congratulations to Jichang!
[2019.07] One of our journal work is accepted by IEEE TIP2019.
[2019.05] One of our journal work is accepted by IEEE/ACM TASLP2019.
[2019.02] Two of our conference work are accepted by CVPR2019.

Educations

[2020.09 - 2024.11] Doctor of Philosophy (PhD), Department of Computer Science, The University of Hong Kong, Hong Kong.
[2017.09 - 2020.06] Master of Engineering (MEng), School of Computer Science & Engineering, South China University of Technology, Guangzhou.

Experiences

[2024.04 - 2024.11] Research intern, Pengcheng National Laboratory, Shenzhen.
[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), 2023/2024
IEEE Transactions on Image Processing (TIP), 2023/2024
IEEE Transactions on Multimedia (TMM), 2024
IEEE/ASME Transactions on Mechatronics, 2024
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.
Courses Handled 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)

📝 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
The IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR2024)
[PDF] [ArXiv] [SUPP][BibTex]
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
The IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR2024)
[PDF] [ArXiv] [SUPP] [CODE][BibTex]
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 (Master Advisor), 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

Decouple and Couple: Exploiting Prior Knowledge for Visible Video Watermark Removal
Junye Chen, Chaowei Fang, Jichang Li, Yicheng Leng, and Guanbin Li
IEEE Transactions on Image Processing, 2025 (IEEE TIP2025)
[OFFICIAL][PDF]
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)
[OFFICIAL][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]

Preprint

Style-Preserving Lip Sync via Audio-Aware Style Reference
Weizhi Zhong, Jichang Li, Yinqi Cai, Liang Lin, and Guanbin Li
[ArXiv]

PhD Thesis

Robust Visual Learning under Imperfection: Navigating Limited Supervision and Label Uncertainty
Jichang Li
[OFFICIAL]

Jichang LI