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Zicheng Pan

Research Fellow
Griffith University



About Me

I am a Research Fellow at Griffith University, Australia. I completed my PhD in Artificial Intelligence at Griffith University in May 2025, where my research focused on deep learning and computer vision. My particular interests lie in incremental learning, domain adaptation, fine-grained classification, and vision-language models. Prior to my doctoral studies, I earned a combined Bachelor of Engineering (Honours) and Master of Engineering in Electrical Engineering from the University of Queensland in 2021.

For more information, please visit my academic page. We are currently seeking highly motivated Ph.D. students to join our research group. If interested, please contact me with your CV. Scholarships may be available for qualified candidates.

Education
Griffith University 2022-2025

Doctor of Philosophy

Engaged in research at the ARC Research Hub and Institute for Integrated and Intelligent Systems (IIIS) under the supervision of Prof. Yongsheng Gao and Dr. Xiaohan Yu. My work involves developing deep learning algorithms and models to advance computer vision applications in real-world agriculture scenarios.

The University of Queensland 2017-2021

Bachelor of Engineering (Hons) / Master of Engineering

Completed the degree in the Electrical Engineering field with First Class Honors.

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Selected Publications [Google Scholar][ORCID]

  1. TIP
    Session-Guided Attention in Continuous Learning with Few Samples
    Zicheng Pan, Xiaohan Yu, Yongsheng Gao
    IEEE Transactions on Image Processing (TIP), Early Access.
    PDF Code

  2. PR
    Overcoming Learning Bias via Prototypical Feature Compensation for Source-Free Domain Adaptation
    Zicheng Pan, Xiaohan Yu, Weichuan Zhang, Yongsheng Gao
    Pattern Recognition (PR), 2024.
    PDF Code

  3. TNNLS
    DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning
    Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Weichuan Zhang, Yongsheng Gao
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
    PDF Code

  4. PR
    Pseudo-Set Frequency Refinement Architecture for Fine-Grained Few-Shot Class-Incremental Learning
    Zicheng Pan, Weichuan Zhang, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao
    Pattern Recognition (PR), 2024.
    PDF Code

  5. TNNLS
    Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric
    Xiaohan Yu*, Zicheng Pan*, Yang Zhao, Yongsheng Gao
    (* Equal contribution)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
    PDF

  6. BMVC
    EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
    Zicheng Pan, Xiaohan Yu, Yongsheng Gao
    British Machine Vision Conference (BMVC), 2024.
    PDF Code

  7. WACV
    SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning
    Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    PDF Code

  8. TSG
    Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners
    Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Yi Cui, Zicheng Pan
    IEEE Transactions on Smart Grid (TSG), 2020.
    PDF

Services

Program Committee Member

Area Chair

Conference Reviewer

Journal Reviewer

Contact

Office Location: Griffith University Nathan Campus, N66
Email: z.pan [at] griffith.edu.au


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