| 2026 | AAAI | 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 |
| 2025 | ICLR | F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos. | Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong |
| 2023 | ICDM | Insight Analysis for Tennis Strategy and Tactics. | Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong |
| 2023 | ICECCS | Sports Analytics Using Probabilistic Model Checking and Deep Learning. | Jin Song Dong, Kan Jiang, Zhaoyu Liu, Chen Dong, Zhe Hou, Rajdeep Singh Hundal, Jingyu Guo, Yun Lin |
| 2023 | PRDC | Court Detection Using Masked Perspective Fields Network. | Kan Jiang, Jiayu Li, Zhaoyu Liu, Chen Dong |
| 2023 | PRDC | Recognizing a Sequence of Events from Tennis Video Clips: Addressing Timestep Identification and Subtle Class Differences. | Zhaoyu Liu, Jingyu Guo, Mo Wang, Ruicong Wang, Kan Jiang, Jin Song Dong |
| 2023 | PRDC | Sports Injury Prediction in Professional Tennis. | Zhaoyu Liu, Kan Jiang, Jin Song Dong |
| 2020 | APSEC | Model Driven Inputs to aid Athlete's Decision Making. | Satish Siddharth, Sircar Saurav, Kan Jiang, Bimlesh Wadhwa, Jin Song Dong |
| 2020 | ICECCS | Deep Learning Application in Broadcast Tennis Video Annotation. | Kan Jiang, Masoumeh Izadi, Zhaoyu Liu, Jin Song Dong |
| 2018 | ICFEM | Combining Deep Learning and Probabilistic Model Checking in Sports Analytics. | Kan Jiang |
| 2015 | ICECCS | Sports Strategy Analytics Using Probabilistic Reasoning. | Jin Song Dong, Ling Shi, Le Vu Nguyen Chuong, Kan Jiang, Jing Sun |