- Explainable Artificial Intelligence
- Recommender System
- Received the B.A. Degree in Business Administration from Sungkyunkwan Univ., Seoul, Korea (Mar., 2012 ~ Feb., 2018)
- Received the M.S. Degree in Statistics from Sungkyunkwan Univ., Seoul, Korea (Mar., 2018 ~ Aug., 2020)
- Researching at the Data Intelligence Lab. as a Ph.D. Candidate in Artificial Intelligence from Hanyang Univ., Seoul, Korea (Mar., 2021 ~)
- [Doosan Bobcat] 마켓 데이터 기반 수익 극대화를 위한 가격 의사결정 설명 가능한 A.I. 모델 연구 (Jun., 2022 ~ May, 2023)
- [Hyundai Motor] 차량 부품 고장 진단 및 예지를 위한 설명 가능한 A.I. 기술 개발 (Mar., 2024 ~ Nov., 2024)
- [Samsung Electronics] 반도체 공정 결함 예측 및 예지 정비를 위한 설명 가능한 A.I. 모델 연구 (Mar., 2023 ~ Feb., 2025)
- 황성현, 채동규, 이상철, 협업 필터링의 정확도 향상을 위한 단계적 증분 기반의 데이터 임퓨테이션 기법, in KSC 2021, Dec. 20-22, 2021
- 신희준, 황성현, 채동규, 프루닝 기반의 희소 훈련을 활용한 협업 필터링 모델 규제 방안, in KSC 2023, Dec. 20-22, 2023
- Sunghyun Hwang and Dong-Kyu Chae, An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering, in CIKM 2022, Oct. 17-21, 2022 (A/R: 23%)
- Sunghyun Hwang, Sangmyeong Lee, Eunjung Choi, Jongsoo Lee, and Dong-Kyu Chae, An XAI Model for Semiconductor Manufacturing Processes with Exploring Process Parameter Interactions based on Uncertainty, in KISM 2023, Nov. 19-23, 2023
- Sangmyeong Lee, Sunghyun Hwang, Eunjung Choi, Xueyi Zhou, and Dong-Kyu Chae, An XAI Model for Semiconductor Manufacturing Processes based on Confidence Interval Visualization for the Impact of Process Parameters, in KISM 2023, Nov. 19-23, 2023
- Yoo Hyun Jeong, Sunghyun Hwang and Dong-Kyu Chae, HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability, in CIKM 2024, Oct. 21-25, 2024 (A/R: 23%)
- [SIGIR Student Travel Grants] An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering (Oct. 17-21, 2022)
- [Ph.D. Fellowship from NRF of Korea] Research on Enhancing Explainability of AI via Uncertainty Quantification (Sep., 2024 ~ Aug., 2025)