Zicheng Pan

About

I am a Research Fellow in the School of Electrical Engineering and Computer Science (EECS) at the University of Queensland, Australia. My research sits at the intersection of machine learning and power systems, with a focus on enabling intelligent monitoring, fault detection, and data-driven decision-making for modern power grids and renewable energy systems. I completed my PhD at Griffith University in 2025, and hold a combined Bachelor of Engineering (Honours) and Master of Engineering in Electrical Engineering from the University of Queensland (2021).

My current research interests include:

• Time Series Analysis
• Anomaly Detection
• Machine Learning & Deep Learning
• Large Language Models (LLMs)
• Embedded Systems & Edge Device Integration
• Power System Analysis

News

• [Apr. 2026] I joined School of Electrical Engineering and Computer Science (EECS) at the University of Queensland as Research Fellow.
• [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 Program Chair 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: The University of Queensland, St. Lucia, Building 47-304

Email: zicheng.pan [at] uq.net.au