Zicheng Pan

About

I am a Research Fellow in the School of Information and Communication Technology at Griffith University, Australia. I completed my PhD at Griffith University in 2025, where my research focused on deep learning and computer vision. 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.

I am recently working on these areas:

• Incremental Learning
• Domain Adaptation
• Fine-grained Classification
• Vision-Language Models
• Large-Language Models

News

• [Dec. 2025] I served as Chief Investigator for the “LiteMotion” project under the National Computational Merit Allocation Scheme (NCMAS 2026).
• [Nov. 2025] I served as Workshop Coordinator for TIME 2026: 2nd International Workshop on Transformative Insights in Multi-faceted Evaluation at The Web Conference (WWW 2026).
• [Oct. 2025] I have been invited to serve as reviewer of CVPR 2026.
• [Aug. 2025] Our paper about fine-grained learning is accepted to PR.
• [Jul. 2025] Our paper about FSCIL is accepted to ICONIP 2025.
• [Jul. 2025] I have been invited to serve as program committee member for AAAI 2026.
• [Jul. 2025] Our paper about ultra-FGVC is accepted to ACM MM 2025.
• [May. 2025] I have been invited to serve as program committee member for ECAI 2025.
• [Apr. 2025] Our paper about FSCIL is accepted to TIP.
• [Mar. 2025] I have been invited to serve as reviewer of ICCV 2025, NeurIPS 2025, and ACM MM 2025.
• [Jan. 2025] I have been invited to serve as program committee member for IJCAI 2025 and reviewer of TCSVT.
• [Dec. 2024] I have been invited to serve as area chair for IJCNN 2025 and reviewer of ICML 2025.
• [Nov. 2024] I have been invited to serve as reviewer of CVPR 2025 and Neurocomputing.
• [Oct. 2024] I joined School of Engineering and Built Environment at Griffith University as Research Fellow.
• [Oct. 2024] I have been invited to serve as program committee member of AAAI 2025 Undergraduate Consortium.
• [Sep. 2024] I have been invited to serve as reviewer of Neural Networks and AISTATS 2025.
• [Sep. 2024] Our ARC Research Hub has won the 2024 Triple-E Asia-Pacific Impactful Research Team of the Year Award.
• [Aug. 2024] Our paper about SFDA is accepted to PR.
• [Aug. 2024] I have been invited to serve as reviewer of ICLR 2025 and ACM MM Asia 2024.
• [Jul. 2024] Our paper about source-free domain adaptation (SFDA) is accepted to BMVC 2024.
• [Jun. 2024] Our paper about fine-grained FSCIL is accepted to PR.
• Show more

• [May. 2024] I have been invited to serve as reviewer of NeurIPS 2024 and PR.
• [Apr. 2024] Our paper about few-shot class-incremental learning (FSCIL) is accepted to TNNLS.
• [Feb. 2024] I have been invited to serve as reviewer of ACM MM 2024, ICME 2024 and TNNLS.
• [Jan. 2024] Our paper about anomaly detection on power grid is accepted to TIA.
• [Jan. 2024] Our paper about Lie algebra enabled ultra-FGVC is accepted to TNNLS.
• [Dec. 2023] I have been invited to serve as reviewer of CVPR 2024.
• [Jun. 2023] Our ARC Research Hub has won the 2023 Triple-E Global Innovation and Entrepreneurship Team of the Year (Rising Star) Award.
• [Oct. 2022] Our paper about incremental learning on ultra-FGVC is accepted to WACV.
• [Sep. 2021] Our paper about fine-grained classification is accepted to DICTA.
• [Dec. 2020] Our paper about frequency response analysis of modern air conditioners is accepted to TSG.
• [Nov. 2019] Our paper is accepted to ROBIO as an oral presentation paper.

Contact

Office Location: Griffith University Nathan Campus, N66

Email: z.pan [at] griffith.edu.au