Mincheol Cho

According to our database, Mincheol Cho authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence.

Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

t³-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence.

Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won

CoRR, 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

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams.

Hyungki Kim, Wonyong Lee, Mijoo Kim, Yoochan Moon, Taekyong Lee, Mincheol Cho, Duhwan Mun

Expert Syst. Appl., 2021