Our lab focuses on distributional learning in the tabular and time-series domains and its applications to real-world problems. We are particularly interested in the following areas:
Tabular Data Synthesis
Density Estimation
Time-Series Forecasting
In future research, we plan to explore:
(Time-Series) Anomaly Detection (시계열 이상치 탐지)
Time-Series Forecasting (시계열 예측)
Data Augmentation
Missing Data Imputation
We also welcome students who are interested in applying big data, statistical, and machine learning methodologies to analyze datasets of their choice. If you have a dataset you’d like to explore using advanced analytical techniques, or if you’re interested in distributional learning and its applications, please feel free to reach out.
For any inquiries, please email sh.an@inu.ac.kr, including a short transcript and your CV.
한국지능시스템학회 2025 추계학술대회에서 신진연구자 세션 발표를 진행합니다!
- @ 서경대학교 (25.11.28)
[2025-11-08] Our paper has been accepted to AAAI 2026!
- @ Singapore EXPO (26.01.20 - 26.01.27)
I will be giving an oral presentation at the 26th International Symposium on Advanced Intelligent Systems [ISIS 2025]
- @ 충북대학교 (25.11.06 - 25.11.09)
I will be giving a talk at the 2025 한국인공지능학회 하계학술대회 - 기획세션 (AI and Statistics)
- @ 평창 휘닉스파크, 휘닉스호텔 (25.08.07 - 25.08.08)
[2025-08-04] Our paper has been accepted to Neural Networks (SCIE, IF 6.3, Q1)!
[2025-06-01] Our paper has been accepted to Applied Intelligence (SCIE, IF 3.5, Q2)!
[2025-05-29] I will be giving a talk at the 2025 KIAS CAINS Workshop!
- @ Park Roche Resort, Jeongseon (25.05.28 - 25.05.30)
e-mail: sh.an@inu.ac.kr
Tel: 032-835-8632
Address: Rm. 226, Bldg. 7, 119 Academy-ro, Yeonsu-gu, Incheon 22012, South Korea