Research Papers

C: Conference, J: Journal, W: Workshop, P: Preprint, *: Equal contribution

[P2] PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
Hyunsung Kim, Kunhee Lee, Sangwoo Seo, Sang-Ki Ko, Jinsung Yoon, Chanyoung Park
Paper / Code

[P1] Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
Sangwoo Seo, Hyunsung Kim, Jiwan Kim, Chanyoung Park
Paper

[C4] Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
Hyunsung Kim, Sangwoo Seo, Hoyoung Choi, Tom Boomstra, Jinsung Yoon, Chanyoung Park
SSAC 2026 - MIT Sloan Sports Analytics Conference
Paper / Code / Poster
Collaboration with AFC Ajax

[W5] ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations
Hyunsung Kim, Hoyoung Choi, Sangwoo Seo, Tom Boomstra, Jinsung Yoon, Chanyoung Park
MLSA 2025 - ECML PKDD Workshop on Machine Learning and Data Mining for Sports Analytics
Paper / Code / Slides
Collaboration with AFC Ajax

[C3] Trajectory Imputation in Muli-Agent Sports with Derivative-Accumulating Self-Ensemble
Han-Jun Choi*, Hyunsung Kim*, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
ECML PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Paper / Code / Slides / Poster

[W4] Contextual Sprint Classification in Soccer Based on Deep Learning
Hyunsung Kim, Geonhee Jo, Jinsung Yoon, Sang-Ki Ko
IT4PSS 2024 - IJCAI Workshop on Intelligent Technologies for Precision Sports Science
Paper / Slides

[W3] Pass Receiver and Outcome Prediction in Soccer Using Temporal Graph Networks
Pegah Rahimian, Hyunsung Kim, Marc Schmid, Laszlo Toka
MLSA 2023 - ECML PKDD Workshop on Machine Learning and Data Mining for Sports Analytics
Paper / Code

[C2] Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
Hyunsung Kim, Han-Jun Choi, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
KDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Paper / Code / Slides / Poster / Video

[J1] A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion
Jeongbin Kim, Hyunsung Kim, Jonghyun Lee, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
IEEE Access 2022
Paper

[W2] Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video
Hyunsung Kim, Changjo Kim, Minchul Jeong, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
MLSA 2022 - ECML PKDD Workshop on Machine Learning and Data Mining for Sports Analytics
Paper / Poster

[C1] SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data
Hyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon, Sang-Ki Ko
KDD 2022 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Paper / Code / Slides / Poster / Video / Media

[W1] 6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network
Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko
MLSA 2021 - ECML PKDD Workshop on Machine Learning and Data Mining for Sports Analytics
Paper / Slides