About Me

Liyun Zhu is a second-year master’s student in Machine Learning and Computer Vision at the Australian National University (ANU). His research focuses on advancing computer vision and machine learning, particularly in video anomaly detection, video understanding, vision-language models, and reasoning. Previously, he had the privilege of collaborating with Dr. Lei Wang (ANU & Data61/CSIRO) and Prof. Chen Chen (University of Central Florida) on multiple research projects.

Prior to his master’s studies, Liyun earned his Bachelor’s degree in Electronic Engineering from Shanghai University in 2023, where he was mentored by Prof. Yongfang Wang. His academic excellence has been recognized through several awards, including the Active Intelligence Research Challenge Award (2023) and the Self-Improvement Scholarship during his undergraduate studies. Liyun has published research in top-tier AI conferences, including NeurIPS and ICLR, contributing to the broader understanding of intelligent video analysis and reasoning systems.

News

01.2025 One paper has been accepted at ICLR 2025, Congrats Dexuan!
11.2024 Joining GBU as a visiting student under the supervision of Prof. Xiaodong Cun and Dr. Xi Shen.
10.2024 I have completed my master thesis - “Advancing Video Anomaly Detection”. I am deeply grateful to my supervisor, Dr. Lei Wang, for his guidance and support throughout this journey.
09.2024 One paper has been accepted at NeurIPS 2024 Dataset and Benchmark Track (25.3% acceptance rate).
09.2024 Our research on video anomaly detection was showcased through a poster presentation at the ANU Student Research Conference. I am honored to be one of the 25 speakers.

Education

Master of Machine Learning and Computer Vision - Australian National University (ANU), 2023.07 - 2025.06
Bachelor of Electronic Engineering - Shanghai University (SHU), 2019.09 - 2023.06