Liyun Zhu

Liyun Zhu

Master of Machine Learning and Computer Vision at ANU

About Me

Liyun Zhu is a second year master’s student in Machine Learning and Computer Vision at the Australian National University (ANU). He is currently conducting research under the joint supervision of Dr. Lei Wang (ANU & Data61/CSIRO) and Prof. Chen Chen (University of Central Florida). 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. Liyun’s research interests lie at the intersection of computer vision and machine learning, with a particular focus on video anomaly detection, video understanding, diffusion model, large language model, and face forgery detection.

Liyun’s academic journey is complemented by extensive industry experience. As a Model Optimization Intern at Biren Tech, a leading Chinese semiconductor company, Liyun contributed to research on advanced large language models and optimized LLM performance in distributed systems across 16 nodes and 128 GPUs. In 2023, he served as a Research Intern at Active Intelligence (Australia), where he developed advanced anomaly detection algorithms and contributed to a novel dataset. Earlier, as an Algorithm Intern at Anji Tech, he focused on the industrial implementation of anomaly detection systems.

Liyun’s academic achievements have garnered recognition. He was awarded the Active Intelligence Research Challenge Award in 2023 and received the Self-improvement Scholarship during his undergraduate studies for outstanding academic performance.

News

  • 11.2024 Joining GBU as a visiting student under the supervision of Prof. Xiaodong Cun.

  • 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