Publications | Zicheng Pan | Griffith University

Featured Publications

For a full list, please refer to my Google Scholar and ORCID.

* Equal contribution

Journal Publications

[J1]

Session-Guided Attention in Continuous Learning with Few Samples

Zicheng Pan, Xiaohan Yu, Yongsheng Gao

Q1 CORE A* IEEE Transactions on Image Processing (TIP), 2025.

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[J2]

Overcoming Learning Bias via Prototypical Feature Compensation for Source-Free Domain Adaptation

Zicheng Pan, Xiaohan Yu, Weichuan Zhang, Yongsheng Gao

Q1 CORE A* Pattern Recognition (PR), 2025.

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[J3]

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning

Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Weichuan Zhang, Yongsheng Gao

Q1 CORE A* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.

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[J4]

Pseudo-Set Frequency Refinement Architecture for Fine-Grained Few-Shot Class-Incremental Learning

Zicheng Pan, Weichuan Zhang, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao

Q1 CORE A* Pattern Recognition (PR), 2024.

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[J5]

Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric

Xiaohan Yu*, Zicheng Pan*, Yang Zhao, Yongsheng Gao

Q1 CORE A* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.

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[J6]

Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners

Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Yi Cui, Zicheng Pan

Q1 IEEE Transactions on Smart Grid (TSG), 2020.

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Conference Publications

[C1]

Contrastive Lie Algebra Learning for Ultra-Fine-Grained Visual Categorization

Xiaohan Yu*, Zicheng Pan*, Yang Zhao, Qin Zhang, Yongsheng Gao

CORE A* ACM Multimedia (ACMMM), 2025. (Oral Presentation)

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[C2]

EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles

Zicheng Pan, Xiaohan Yu, Yongsheng Gao

CORE A British Machine Vision Conference (BMVC), 2024.

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[C3]

SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning

Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao

CORE A IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

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