Changhun Kim

Changhun Kim

Ph.D. Student @ University of Wisconsin–Madison

I am a first-year Ph.D. student in Computer Science at the University of Wisconsin–Madison, advised by Prof. Grigorios Chrysos. Before that, I was a researcher at AITRICS advised by Prof. Eunho Yang, where I also worked with Prof. Evan Shelhamer at UBC and Prof. Juho Lee at KAIST. I received my M.S. in Artificial Intelligence, also under Prof. Eunho Yang, and my B.S. in Computer Science and Mathematics, both from KAIST.

My research focuses on the algorithmic and theoretical foundations of deep generative models. I am particularly interested in understanding why diffusion models generalize and when they hallucinate, and in turning these insights into more principled algorithms that exploit structured inductive biases. I am also excited about extending generative models to world (action) models for embodied agents, and more broadly about building trustworthy machine learning systems.

I am always happy to connect and collaborate with researchers whose interests align with mine.

📌 I am actively seeking an industry research intern position for Summer 2027. If our interests align, please feel free to reach out.

News


Aug 2026
One paper was accepted to Findings of EMNLP 2026. paper
Jul 2026
Awarded the Korean Government Scholarship Program for Study Overseas by the National Institute for International Education (NIIED) 🎓 award
Apr 2026
Excited to join the Ph.D. program in Computer Science at the University of Wisconsin–Madison starting Fall 2026 🇺🇸 milestone
Mar 2026
One paper was accepted to ICLR 2026 Workshop on Time Series in the Age of Large Models. paper
Jan 2026
Two papers were accepted to ICLR 2026. paper
Jan 2026
One paper was accepted to Findings of EACL 2026. paper
Nov 2025
One paper received the best paper award at the CIKM 2025 Workshop on Human-Centric AI! award
Oct 2025
One paper was accepted to CIKM 2025 Workshop on Human-Centric AI as an oral presentation! paper
Jul 2025
I am attending ICML 2025 in person. See you in Vancouver! 🇨🇦 travel
Jun 2025
One paper was accepted to ICML 2025 Workshop on Actionable Interpretability. paper
May 2025
I am nominated as one of the top reviewers (206/10,943=1.9%) at ICML 2025 with complimentary registration award! award
May 2025
One paper was accepted to ICML 2025 as a spotlight presentation! paper
Mar 2025
One paper was accepted to ICLR 2025 Workshop on XAI4Science. paper
Dec 2024
One paper was accepted to ICASSP 2025. paper
Oct 2024
One paper was accepted to NeurIPS 2024 Workshop on Table Representation Learning. paper
Sep 2024
I am attending ECCV 2024 in person. See you in Milano! 🇮🇹 travel
Jul 2024
One paper was accepted to ECCV 2024. paper
Jun 2024
I am attending KOSMI 2024 in person. See you in Seoul! 🇰🇷 travel
Apr 2024
I am attending ICASSP 2024 in person. See you in Seoul! 🇰🇷 travel
Feb 2024
I have completed my master’s thesis defense and graduated from my master's program. milestone
Nov 2023
I am starting my next research journey as a machine learning researcher at AITRICS. milestone
Aug 2023
I am attending INTERSPEECH 2023 in person. See you in Dublin! 🇮🇪 travel
May 2023
One paper was accepted to INTERSPEECH 2023 as an oral presentation! paper

Education


University of Wisconsin–Madison
University of Wisconsin–Madison, Madison, WI, USA
Ph.D. in Computer Science, Aug 2026 – Present
Korea Advanced Institute of Science and Technology (KAIST)
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
M.S. in Artificial Intelligence, Feb 2022 – Feb 2024
B.S. in Computer Science and Mathematics, Feb 2017 – Feb 2022

Employment


University of Wisconsin–Madison
University of Wisconsin–Madison, Madison, WI, USA
Graduate Research Assistant, Aug 2026 – Present
Graduate Teaching Assistant, Aug 2026 – Present
UBC Computer Vision Lab
UBC Computer Vision Lab, Vancouver, BC, Canada
External Collaborator, Jul 2025 – Present
AITRICS
AITRICS, Seoul, Korea
Researcher, Nov 2023 – Jun 2026
KAIST Machine Learning and Intelligence Lab
KAIST Machine Learning and Intelligence Lab, Daejeon, Korea
Graduate Research Assistant, Mar 2022 – Feb 2024
Undergraduate Research Assistant, Jun 2021 – Feb 2022
KAIST Vehicular Intelligence Lab
KAIST Vehicular Intelligence Lab, Daejeon, Korea
Undergraduate Research Assistant, Oct 2019 – Aug 2020

Publications


Manuscripts

ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

Manuscript, 2026

Domain Generalization under Sampling Pattern Shifts in Irregular Time Series

Domain Generalization under Sampling Pattern Shifts in Irregular Time Series

Manuscript, 2026

Development and External Validation of a Transformer-Based Cardiac Arrest Prediction System for General Ward Patients: A Multicenter Study

Development and External Validation of a Transformer-Based Cardiac Arrest Prediction System for General Ward Patients: A Multicenter Study

Manuscript, 2026

Conference Publications

ReviewScore: Misinformed Peer-Review Detection with Large Language Models

ReviewScore: Misinformed Peer-Review Detection with Large Language Models

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 (Findings)

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring

International Conference on Learning Representations (ICLR), 2026

Soft Equivariance Regularization for Invariant Self-Supervised Learning

Soft Equivariance Regularization for Invariant Self-Supervised Learning

International Conference on Learning Representations (ICLR), 2026

Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?

Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026 (Findings)

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

International Conference on Machine Learning (ICML), 2025 (Spotlight, 313/12,107=2.6%)
ICLR Workshop on XAI4Science, 2025
CIKM Workshop on Human-Centric AI, 2025 (Best Paper Award)

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

European Conference on Computer Vision (ECCV), 2024

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization

Conference of the International Speech Communication Association (INTERSPEECH), 2023 (Oral)

Workshop Papers

Structure-Aware Set Transformers: Temporal and Variable-Type Attention Biases for Asynchronous Clinical Time Series

Structure-Aware Set Transformers: Temporal and Variable-Type Attention Biases for Asynchronous Clinical Time Series

ICLR Workshop on Time Series in the Age of Large Models, 2026

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values

ICML Workshop on Actionable Interpretability, 2025

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler

NeurIPS Workshop on Table Representation Learning, 2024

Awards and Honors


Korean Government Scholarship Program for Study Overseas, National Institute for International Education (NIIED) Fall 2026 – Present
Full Doctoral Assistantship, University of Wisconsin–Madison Fall 2026 – Present
Best Paper Award, CIKM 2025 Workshop on Human-Centric AI Nov 2025
Top Reviewer (206/10,943=1.9%), ICML 2025 May 2025
Dongwon Full Master’s Scholarship, Dongwon Group Spring 2022 – Fall 2023
Magna Cum Laude, KAIST College of Engineering Feb 2022
Silver Prize, Korean Undergraduate Mathematics Competition Jan 2022
National Full Undergraduate Scholarship, Korea Student Aid Foundation (KOSAF) Spring 2017 – Fall 2021
KAIST Convergence AMP Scholarship, KAIST School of Computing Mar 2019

Teaching Experience


Teaching Assistant
CS220 Data Science Programming I, University of Wisconsin–Madison, Fall 2026

Academic Service


Journal Reviewer
TMLR, TNNLS, IJCV
Conference Reviewer
NeurIPS, ICML, ICLR, AISTATS, AAAI, IJCAI, ACL, EMNLP, ICASSP, LoG

Invited Talks


Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
IEIE Workshop on AI & Semiconductor Technologies for Future Healthcare, May 2026