Inwoo Hwang

I am a graduate 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.

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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
qlid 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

    LBS 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

    CSSI 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 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

    CriticalPeriod 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

    ShapeCon 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), 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
    • [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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