CV

Education

• Ph.D. in Computer Science, National University of Singapore (Aug 2021 - May 2025)
• B.Comp in Computer Science, National University of Singapore (Aug 2017 - May 2021)

Experience

• Research Fellow, National University of Singapore (Aug 2021 - Present)

• Research Assistant, National University of Singapore (Aug 2021 - July 2025)

• Data Scientist Intern, Television Content Analytics, Singapore (Aug 2020 - Aug 2021)

• Software Engineer Intern, NUS Artificial Intelligence Centre, Suzhou, China (May 2019 - Aug 2019)

Publications:

• Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong (2026).
  Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation.
  Association for the Advancement of Artificial Intelligence (AAAI, CORE Rank A*, acceptance rate 17.6%), 2026.
  📄 Paper Link | 💻 Code

• Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong (2025).
  F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos.
  International Conference on Learning Representations (ICLR, CORE Rank A*), 2025.
  🌐 Project Page | 📄 Paper Link | 💻 Code

• Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong (2023).
  Insight Analysis for Tennis Strategy and Tactics.
  IEEE International Conference on Data Mining (ICDM, CORE Rank A*, acceptance rate <20%).
  📄 Paper Link

• Zhaoyu Liu, Murong Ma, Kan Jiang, Zhe Hou, Ling Shi, Jin Song Dong (2024).
  PCSP# Denotational Semantics with an Application in Sports Analytics.
  Springer Nature Switzerland.
  📄 Paper Link

• 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 (2024).
  Analyzing the Formation Strategy in Tennis Doubles Game.
  SN Computer Science, 2024.
  📄 Paper Link

• Zhaoyu Liu, Shenyi Su (2025).
  Analyzing Basketball Lineups with MDP Using NBA Statistics and Player Tracking.
  International Sports Analytics Conference and Exhibition (ISACE), LNCS Springer, 2025.
  📄 Paper Link

• Zhaoyu Liu, Chen Dong, Chen Wang, Tian Yu Dong, Kan Jiang (2024).
  Exploring Team Strategy Dynamics in Tennis Doubles Matches.
  International Sports Analytics Conference and Exhibition (ISACE), LNCS Springer, 2024.
  📄 Paper Link

• Zhaoyu Liu, Murad Durrani, Leong Yu Xuan, Julian-Frederik Simon, Tan Yong Feng Deon (2024).
  Strategy Analysis in NFL Using Probabilistic Reasoning.
  International Sports Analytics Conference and Exhibition (ISACE), LNCS Springer, 2024. 📄 Paper

• Zhaoyu Liu, Kan Jiang, Jin Song Dong (2023).
  Sports injury prediction in professional tennis.
  IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), 2023.

• Zhaoyu Liu, Jingyu Guo, Mo Wang, Ruicong Wang, Kan Jiang, Jin Song Dong (2023).
  Recognizing a sequence of events from tennis video clips: addressing timestep identification and subtle class differences.
  IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), 2023.

• Kan Jiang, Zhaoyu Liu, Qirui Wu, Murong Ma, Jin Song Dong (2024).
  Tracking Small and Fast Moving Ball in Broadcast Videos Using Transfer Learning and the Enhanced Interactive Multi-motion Model.
  International Sports Analytics Conference and Exhibition (ISACE), LNCS Springer, 2024.
  📄 Paper Link

• Rajdeep Singh Hundal, Zhaoyu Liu, Bimlesh Wadhwa, Zhe Hou, Kan Jiang, Jin Song Dong (2024).
  Soccer strategy analytics using probabilistic model checkers.
  International Sports Analytics Conference and Exhibition (ISACE), LNCS Springer, 2024.
  📄 Paper Link

• Jin Song Dong, Kan Jiang, Zhaoyu Liu, Chen Dong, Zhe Hou, Rajdeep Singh Hundal, Jingyu Guo, Yun Lin. (2023).
  Sports Analytics Using Probabilistic Model Checking and Deep Learning.
  International Conference on Engineering of Complex Computer Systems (ICECCS), IEEE, 2023. 📄 Paper

• Kan Jiang, Jiayu Li, Zhaoyu Liu, Chen Dong (2023).
  Court detection using masked perspective fields network.
  IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), 2023.

• Kan Jiang, Masoumeh Izadi, Zhaoyu Liu, Jin Song Dong. (2020, October).
  Deep Learning Application in Broadcast Tennis Video Annotation.
  International Conference on Engineering of Complex Computer Systems (ICECCS), IEEE, 2020. 📄 Paper

Honors and Awards

• 🏆 Research Achievement Award, National University of Singapore (2024)
• 🏆 ISACE Best Paper Award, International Sports Analytics Conference and Exhibition (ISACE) (2024)
• 🏆 Outstanding Computing Project (Final Year Project) Prize, National University of Singapore (2021)
• 🎓 Science & Technology Undergraduate Scholarship, National University of Singapore (2017-2021)

• Teaching

  Teaching Assistant, CS4211 Formal Methods for Software Engineering, 2024

✉️ Contact
📧 liuzy@nus.edu.sg
📚 Google Scholar 🔗 LinkedIn
🐙 GitHub