PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. - Chung Park; Junui Hong; Cheonbok Park; Taesan Kim; Minsung Choi; Jaegul Choo (PAKDD (1), 2022)

Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. - Chung Park; Taesan Kim; Taekyoon Choi; Junui Hong; Yelim Yu; Mincheol Cho; Kyunam Lee; Sungil Ryu; Hyungjun Yoon; Minsung Choi; Jaegul Choo (CIKM, 2023)

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning. - Chung Park; Taekyoon Choi; Taesan Kim; Mincheol Cho; Junui Hong; Minsung Choi; Jaegul Choo (SIGSPATIAL/GIS, 2023)

Future Paradigm Shift and Scenario Analysis for the Era of AI: On the Perspective of Technology, Economic, Social and Politics. - Sungil Ryu; Hyunseo Cho; Kyunam Lee; Minsung Choi (IEEM, 2023)

Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. - Chung Park; Taesan Kim; Junui Hong; Minsung Choi; Jaegul Choo (ECML/PKDD (7), 2023)

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. - Chung Park; Taesan Kim; Hyungjun Yoon; Junui Hong; Yelim Yu; Mincheol Cho; Minsung Choi; Jaegul Choo (SIGIR, 2024)