Short Bio

• Jichang is currently an assistant researcher at 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), kindly 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.

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, 2024-2025
• Research intern, Pengcheng Laboratory, 2024
• Research intern, Zhejiang Lab, 2023
• Teaching Assistant, The University of Hong Kong, 2020-2024
• Exchange student, BGI Research, 2016

📝 Publications

Conference

• 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, Guanbin Li
  International Conference on Computer Vision, 2025 (ICCV2025)

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

• 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, 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

• Conference program committee/reviewers
  IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023/2024/2025
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023/2025
  European Conference on Computer Vision (ECCV), 2024
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  Asian Conference on Computer Vision (ACCV), 2024
  British Machine Vision Conference (BMVC), 2022

• Journal reviewers
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023/2024/2025
  IEEE Transactions on Image Processing (TIP), 2023/2024/2025
  IEEE Transactions on Multimedia (TMM), 2024
  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

Selected Honors and Awards

• HKU Postgraduate Scholarship, 2020-2024
• National Scholarship for Postgraduates (top 1), 2020