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Zicheng Pan

Research Fellow
Griffith University



About Me

I am a Research Fellow at Institute for Integrated and Intelligent Systems (IIIS) at Griffith University, Australia. I completed a combined B.Eng (Hons) and M.Eng degree in Electrical Engineering at the University of Queensland in 2021. Currently pursuing a PhD degree at Griffith University, my research focuses on deep learning and computer vision, with particular interests in incremental learning, domain adaptation, fine-grained classification, and vision-language models.

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 2022-2024

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.

News

Selected Publications [Google Scholar][ORCID]

  1. 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

  2. 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), Early Access.
    PDF Code

  3. 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

  4. 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), Early Access.
    PDF

  5. 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

  6. 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

  7. 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

Conference Reviewers

Journal Reviewers

Contact

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


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