Short Bio

• Dr. Jichang Li is currently an Assistant Researcher at the Research Institute of Multiple Agents and Embodied Intelligence, Pengcheng Laboratory, in Shenzhen, led by Prof. Liang Lin (IEEE Fellow). Previously, he obtained his PhD degree at the Department of Computer Science (CS), The University of Hong Kong (HKU), supervised by Prof. Yizhou Yu (ACM/IEEE Fellow) and worked closely with Prof. Guanbin Li. 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.
     

  Research interests

• Agentic Vision
• Embodied AI
• Visual Content Understanding
• Weakly-supervised Learning  

Educations

• Doctorate of Philosophy (PhD) in Computer Science, The University of Hong Kong, 2020-2024     
• Master of Engineering (MEng) in Computer Technology, South China University of Technology, 2017-2020  

Experiences

• Assistant Researcher,  Pengcheng Laboratory, 2024-2026  
• Teaching Assistant, The University of Hong Kong, 2020-2024  

📝 Publications 

( # Equal contribution; * Corresponding author )

Conference

• Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation   Yuxiang Zhou#, Jichang Li#, Yanhao Zhang, Haonan Lu, and Guanbin Li     The Fortieth AAAI Conference on Artificial Intelligence, 2026 (AAAI2026)   [Project][Official][ArXiv][PDF][Video][Code][BibTex]   

• DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis   Yinqi Cai#, Jichang Li#, Zhaolun Li, Weikai Chen, Rushi Lan, Xi Xie, Xiaonan Luo, and Guanbin Li     International Conference on Computer Vision, 2025 (ICCV2025)   [Official][ArXiv][PDF][Supp][Code]   

• FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos   Zhaolun Li, Jichang Li*, Yinqi Cai, Junye Chen, Xiaonan Luo, Guanbin Li, and Rushi Lan*   International Conference on Computer Vision, 2025 (ICCV2025)   [Official][ArXiv][PDF][Supp]   

• Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection   Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, and 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, and Guanbin Li   The IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR2024)   [PDF][ArXiv][Supp][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)   [Official][ArXiv][PDF][Full][Supp][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

• Benefiting from OOD Samples in Open-Set Semi-Supervised Object Detection   Yiqi Zou, Kuo Wang, Jichang Li*, Chuan Wang, Shuangyin Liu*, Liang Lin, and Guanbin Li*    IEEE Transactions on Neural Networks and Learning Systems, 2026 (IEEE TNNLS2026)  

• 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, Ming Li, Feng Gao, Liang Lin, Guanbin Li   [ArXiv]

PhD Thesis

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

Professional Services

• Journal reviewers     IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023-2026     IEEE Transactions on Image Processing (TIP), 2023-2026     IEEE Transactions on Multimedia (TMM), 2024     IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025     IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2026     IEEE Transactions on Artificial Intelligence (TAI), 2025-2026 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026
    IEEE/ASME Transactions on Mechatronics, 2024     IEEE Transactions on Big Data (TBD), 2025     IEEE Transactions on Mobile Computing (TMC), 2025     Information Sciences, 2023/2024       The Visual Computer, 2021  

• Conference program committee members/reviewers     IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023-2026       IEEE/CVF International Conference on Computer Vision (ICCV), 2023/2025     European Conference on Computer Vision (ECCV), 2024/2026     Annual Conference on Neural Information Processing Systems (NeurIPS), 2026     AAAI Conference on Artificial Intelligence (AAAI), 2025/2026     British Machine Vision Conference (BMVC), 2022/2026     Asian Conference on Computer Vision (ACCV), 2024     

Selected Honors and Awards

• Shenzhen Specially Appointed Positions for Introduced Talents, 2025    
• ICCV Outstanding Reviewer, 2025  
• HKU Postgraduate Scholarship, 2020-2024    
• National Scholarship for Postgraduates (Top 1), 2020