I am a Ph.D. student in Graduate School of Data Science at Seoul National University with my advisor Prof. Sanghack Lee.
I studied Computer Science & Engineering for my B.S. and M.S. degrees. My research field was Human Computer Interaction based on deep learning model. Nowadays, I have been focusing on studying Machine Learning and Reinforcement Learning through a Causal Lens.
News
- NEW! : I was recognized as a Top Reviewer at NeurIPS 2026!
- NEW! : Our paper on event-time regression discontinuity was accepted by the American Journal of Epidemiology!
- : Our paper on canonical domain reduction was accepted at UAI 2026!
- : Our paper “Non-Stationary Structural Causal Bandits” was accepted at NeurIPS 2025!
- : Our paper “On Positivity Condition for Causal Inference” was accepted at ICML 2024!
- : Our paper on EEG-based emotion recognition using CNNs was accepted by Sensors!
- : Our paper on EEG signal transformation for DNN learning was accepted at CSA 2017!
Research Interests
Causal Inference, Causal Machine Learning, Causal Reinforcement Learning
Conferences
(* for joint first authorship, † for corresponding authorship)
- (UAI 2026) Y Choe, Y Kwon*, M Park*, S Lee†. Canonical Domain Reduction for Partial Counterfactual Identification
- (NeurIPS 2025) Y Kwon, Y Choe, S Park, N Dhir†, S Lee†. Non-Stationary Structural Causal Bandits [paper] [code] [poster] [blog post]
- (ICML 2024) I Hwang*, Y Choe*, Y Kwon, S Lee†. On positivity condition for causal inference [paper]
Journals
- Yesong Choe*, Yeahoon Kwon*, Minjung Kho, Seunggeun Lee, Sanghack Lee. Event-Time Regression Discontinuity for Biomedical Data: LATT Estimation and Covariate Distribution Tests. American Journal of Epidemiology 2026 (accepted)
- Kwon, Y. H., Shin, S. B., & Kim, S. D.† (2018). Electroencephalography based fusion two-dimensional (2D)-convolution neural networks (CNN) model for emotion recognition system. Sensors, 18(5), 1383.
- Kwon, Y., Nan, Y., & Kim, S. D.† (2017). Transformation of EEG Signal for Emotion Analysis and Dataset Construction for DNN Learning. In Advances in Computer Science and Ubiquitous Computing (pp. 96-101). Springer, Singapore.
Academic Service
- NeurIPS 2026 — Main Track Reviewer (Top Reviewer)
E-mail: dataofyou@snu.ac.kr
Google Scholar: link
Github: link
Curriculum Vitae: Coming soon..
Contact Information: Bldg #942, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea;