6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network. - Hyunsung Kim 004; Jihun Kim; Dongwook Chung; Jonghyun Lee; Jinsung Yoon; Sang-Ki Ko (MLSA@PKDD/ECML, 2021)

SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data. - Hyunsung Kim 004; Bit Kim; Dongwook Chung; Jinsung Yoon; Sang-Ki Ko (KDD, 2022)

Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video. - Hyunsung Kim 004; Changjo Kim; Minchul Jeong; Jaechan Lee; Jinsung Yoon; Sang-Ki Ko (MLSA@PKDD/ECML, 2022)

A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion. - Jeongbin Kim 004; Hyunsung Kim 004; Jonghyun Lee; Jaechan Lee; Jinsung Yoon; Sang-Ki Ko (IEEE Access, 2022)

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM. - Hyunsung Kim 004; Han-Jun Choi; Changjo Kim; Jinsung Yoon; Sang-Ki Ko (KDD, 2023)

Contextual Sprint Classification in Soccer Based on Deep Learning. - Hyunsung Kim 004; Gun-Hee Joe; Jinsung Yoon; Sang-Ki Ko (CoRR, 2024)

DBHP: Trajectory Imputation in Multi-Agent Sports Using Derivative-Based Hybrid Prediction. - Hanjun Choi; Hyunsung Kim 004; Minho Lee; Changjo Kim; Jinsung Yoon; Sang-Ki Ko (CoRR, 2024)