About Me

Liyun Zhu is a Quantitative Researcher at HiThink, designing LLM-driven quantitative strategies and optimizing AI for finance. He holds an M.S. in Machine Learning & Computer Vision from the Australian National University, with expertise in vision-language models and MLLM reasoning. Liyun has published in top AI conferences like NeurIPS and ICLR, contributing to intelligent video analysis and reasoning.

News

05.2025 We have released “VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning”. Thanks to all the co-authors! [paper] [code]
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