Research
My research interests span causal representation learning, and reinforcement learning, especially at the intersection of causality and machine learning.
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Education
- (2019.03 - current) Ph.D in Computer Science and Engineering, Seoul National University
- (2016.03 - 2018.02) MS in School of Computing, KAIST
- (2010.02 - 2016.02) BS in Mathematical Science, KAIST
- (2007.02 - 2010.02) Highschool, Korea Science Academy of KAIST
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Causal Dynamics Learning with Quantized Local Independence Discovery
Inwoo Hwang,
Yunhyeok Kwak,
Suhyung Choi,
Byoung-Tak Zhang^,
Sanghack Lee^.
ICML Workshop on Spurious Correlations, Invariance, and Stability, 2023
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Workshop
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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
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Code
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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
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Code
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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   (Scholar Award)
ICML Workshop on Spurious Correlations, Invariance, and Stability, 2022
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Code
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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
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Workshop
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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
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Workshop
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Academic Services
- Conference Reviewer: CVPR (2023), ICCV (2023), NeurIPS (2023), ICLR (2024), AISTATS (2024), CLeaR (2024)
- Workshop Reviewer
- Workshop on Spurious Correlations, Invariance, and Stability (ICML 2023)
- Workshop on Causal Representation Learning (NeurIPS 2023)
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Teaching Experience
- [CS204] Data Structure, KAIST, 2016S - 2017F
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Invited Talks
- KSC 2022, Top-tier conference paper session
- Kakao Enterprise TechTalk
- SNU AIIS Retreat, Oral presentation
- NAVER TechTalk
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Honors and Awards
- NAVER PhD Fellowship, 2022
- Gold Award, The Korean Mathematical Olympiad (KMO)
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The source of this website is from here.
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