Inwoo Hwang

I am a final-year PhD student in Computer Science and Engineering at Seoul National University, advised by Byoung-Tak Zhang and Sanghack Lee. I am affiliated with AIIS. Prior to joining Ph.D program, I did my master study in School of Computing at KAIST. I earned my Bachelor's degree in Department of Mathematical Sciences from KAIST.

Email / Google Scholar / Github / Twitter

Research

My research interest lies in the intersection of causality and machine learning. In particular, I am currently focused on (i) developing causal discovery methods and theory for causal effect identification, and (ii) building reliable and trustworthy machine learning systems (e.g., by utilizing causal knowledge).

Education

(2019.03 - current) Ph.D in Computer Science and Engineering, Seoul National University
(2010.02 - 2016.02) BS in Mathematical Science, KAIST
(2007.02 - 2010.02) Highschool, Korea Science Academy of KAIST

Publications

(* equal contribution, ^ equal advising)

	Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang^, Sanghack Lee^. NeurIPS Workshop on Generalization in Planning, 2023 Paper / Workshop
	Learning Geometry-aware Representations by Sketching Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper / Code
	On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang^, Sanghack Lee^. Conference on Causal Learning and Reasoning (CLeaR), 2023 NeurIPS Workshop on Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice, 2021 Paper / Code
	SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim^, Byoung-Tak Zhang^. Neural Information Processing Systems (NeurIPS), 2022 ICML Workshop on Spurious Correlations, Invariance, and Stability, 2022 Paper / Code
	On the Importance of Critical Period in Multi-stage Reinforcement Learning Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Minsu Lee, Youngki Lee, Byoung-Tak Zhang. ICML Workshop on Complex Feedback in Online Learning, 2022 Paper / Workshop
	Improving Robustness to Texture Bias via Shape-focused Augmentation Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang. CVPR Workshop on Human-centered Intelligent Services: Safety and Trustworthy, 2022 Paper / Workshop

Academic Services

Conference Reviewer: NeurIPS (2023), ICLR (2024), ICML (2024), AISTATS (2024), CLeaR (2024), CVPR (2023-2024), ICCV (2023), ECCV (2024), ACCV (2024), ICRA (2024)
Journal Reviewer: IEEE Trans. Multimedia
Workshop Reviewer

Workshop on Spurious Correlations, Invariance, and Stability (ICML 2023)
Workshop on Causal Representation Learning (NeurIPS 2023)

Invited Talks

[Sep 2023] IITP Workshop
[May 2023] SNU AIIS Retreat
[Dec 2022] Korea Software Congress
[Nov 2022] Kakao Enterprise TechTalk
[Nov 2022] SNU AIIS Retreat
[Oct 2022] NAVER TechTalk

Honors and Awards

NAVER PhD Fellowship, 2022
NeurIPS 2022 Scholar Award
National Science and Technology Scholarship, Korea Student Aid Foundation
Gold Award, The Korean Mathematical Olympiad (KMO)

Work Experience

(Aug 2012 - May 2014) Military service, Korean Augmentation To the US Army (KATUSA), Camp Humphreys

Teaching Experience

[CS204] Discrete Mathematics, KAIST, 2016S - 2017F

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