About
I am a Research Fellow in the School of Engineering and Built Environment 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
🎓 Multiple PhD positions available in Computer Vision and Machine Learning (Feb/Jul 2026 intake). Interested candidates are encouraged to contact me with their CV and research interests.
News
- [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.
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- [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