Liu Zhaoyu’s Homepage

πŸ‘‹πŸ» About Me

I am currently a Research Fellow at the National University of Singapore under the guidance of Professor Dong Jin Song. I earned my Bachelor’s and PhD degrees in Computer Science from the National University of Singapore. My research is centered on Sports Analytics, a multi-disciplinary research field, where I employ Probabilistic Reasoning, Computer Vision, and Machine Learning for in-depth sports strategy analysis. My work focuses on developing Markov Decision Process (MDP) models for tennis strategy analysis, aiding professional players in pre-match analysis with remarkable success against top competitors. Additionally, my work involves using advanced video analytics to automatically extract and understand fast, frequent, and fine-grained event sequences from sports videos, providing intricate match insights. My analytical methodologies have been applied across multiple sports, including tennis (singles and doubles), badminton, basketball, American football, etc.

πŸ”₯ News

  • [2025.11] Our paper UMEG-Net was accepted at AAAI 2026!
  • [2025.09] I will serve as the Program Chair for the third International Sports Analytics Conference and Exhibition (ISACE) in Vancouver, Canada (before the 2026 Soccer World Cup)!
  • [2025.09] We successfully held the second International Sports Analytics Conference and Exhibition (ISACE) in Shanghai, China (a few days before the 2025 Rolex Shanghai Masters tennis tournament)! I served as the Graduate Symposium Co-Chair.
  • [2025.05] I have obtained my PhD degree from NUS!
  • [2025.01] Our paper F3Set was accepted at ICLR 2025!
  • [2024.07] We held the first International Sports Analytics Conference and Exhibition (ISACE) in Paris, France one week before the Summar Olympics!
  • [2024.03] We have been shortlisted in the MIT Sloan Sports Analytics Conference SSAC24 Startup Competition and Trade Show!
  • [2023.12] One paper was accepted at ICDM 2023!

πŸ“ Selected Publications

πŸ“– Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation
Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong
AAAI, 2026 (CORE Rank A*, acceptance rate 17.6%)
πŸ”— Paper Link | πŸ’» Code

πŸ“– F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong
ICLR, 2025 (CORE Rank A*)
🌐 Project Page | πŸ”— Paper Link | πŸ’» Code

πŸ“– Insight analysis for tennis strategy and tactics
Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong
ICDM, 2023 (CORE Rank A*, acceptance rate < 20%)
πŸ”— Paper Link | πŸ’» Code

πŸ“– PCSP# Denotational Semantics with an Application in Sports Analytics
Zhaoyu Liu, Murong Ma, Kan Jiang, Zhe Hou, Ling Shi, Jin Song Dong
The Application of Formal Methods, 2024
πŸ”— Paper Link

πŸ“– Analyzing the Formation Strategy in Tennis Doubles Game
Zhaoyu Liu, Chen Dong, Jia Wei Chen, Alvin Min Jun Jiang, Guanzhou Chen, Aayan Faraz Shaikh, Tian Yu Dong, Chen Wang, Kan Jiang, Jin Song Dong
SN Computer Science, 2024
πŸ”— Paper Link

πŸŽ“ Education

  • 2021.08 - 2025.05. Ph.D. in Computer Science, National University of Singapore (NUS). Supervisor: Prof. Dong Jin Song.
  • 2017.08 - 2021.05. B.S. in Computer Science, National University of Singapore (NUS).