Jinseok Seol
Brief Bio
Jinseok Seol received Ph.D. degree in computer science and engineering from Seoul National University, B.S. degree in mathematics and computer science from Yonsei University.
Research Interest
Publication
[1] * Jinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park * Proxy-based Item Representation for Attribute and Context-aware Recommendation * International Conference on Web Search and Data Mining (WSDM), 2024.
[2] * Hanbit Lee, Jinseok Seol, Sang-goo Lee, Jaehui Park, Junho Shim * Contrastive Learning for Unsupervised Image-to-Image Translation * Applied Soft Computing 151, 2024.
[3] * Jinseok Seol, Youngrok Ko, Sang-goo Lee * Exploiting Session Information in BERT-based Session-aware Sequential Recommendation * International Conference on Research and Development in Information Retrieval (SIGIR), Short Paper Track, 2022.
[4] * Jinseok Seol, Seongjae Kim, Sungchan Park, Holim Lim, Hyunsoo Na, Eunyoung Park, Dohee Jung, Soyoung Park, Kangwoo Lee, Sang-goo Lee * Technologies for AI-Driven Fashion Social Networking Service with E-Commerce * International Semantic Intelligence Conference (ISIC), The Applications and Deployment Track, 2022.
[5] * Hyunsoo Cho, Jinseok Seol, Sang-goo Lee * Masked Contrastive Learning for Anomaly Detection * International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2021.
[6] * Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee * A Syllable-based Technique for Word Embeddings of Korean Words * Proceedings of the 1st Workshop on Subword and Character Level Models in NLP (SCLeM), EMNLP Workshop, 2017.
Working Experience
Contact
* email: jsseol@kaist.ac.kr
* github: https://github.com/theeluwin