Publications

Journal Publications

[j.4] The FIX Benchmark: Extracting Features Interpretable to eXperts
H. Jin*, S. Havaldar*, C. Kim*, A. Xue*, W. You*, H. Qu, M. Gatti, D. A. Hashimoto, B. Jain, A. Madani, M. Sako, L. Ungar and E. Wong
Journal of Data-centric Machine Learning Research (DMLR), Vol. 2, No. 17, pp. 1-43 • June 2025
[j.3] Development of An Electric Kick Scooter Photo Recognition System Using YOLO
C. Kim, S. Yu and K. Y. Lee
Journal of Information Processing Systems (JIPS), Vol. 20, No. 6, pp. 827-840 • December 2024
[j.2] Improving Deep Learning Models Considering the Time Lags between Explanatory and Response Variables
C. Kim and K. Y. Lee
Journal of Information Processing Systems (JIPS), Vol. 20, No. 3, pp. 345-359 • June 2024
[j.1] A Gradient-Based Explanation Method for Node Classification Using Graph Convolutional Networks
C. Kim, H. Ryu and K. Y. Lee
Journal of Information Processing Systems (JIPS), Vol. 19, No. 6, pp. 803-816 • December 2023
(* Equal contribution)

Conference Presentations

[c.16] Explaining Temporal Effects in Sepsis Prediction
C. Kim and E. Wong
Neural Information Processing Systems (NeurIPS) 2025 AI for Science Workshop & GenAI for Health Workshop & Time Series for Health Workshop • December 2025
[c.15] SuperActivators: Only the Tail of the Distribution Contains Reliable Concept Signals
C. Goldberg, C. Kim, A. Stein and E. Wong
Neural Information Processing Systems (NeurIPS) 2025 Mechanistic Interpretability Workshop • December 2025
[c.14] T-FIX: Text-Based Explanations with Features Interpretable to eXperts
S. Havaldar*, H. Jin*, C. Kim*, A. Xue*, W. You*, G. Weissman, R. Deo, S. Khatana, H. Qu, M. Gatti, D. A. Hashimoto, A. Madani, M. Sako, B. Jain, L. Ungar and E. Wong
Empirical Methods in Natural Language Processing (EMNLP) 2025 Workshop BlackboxNLP • November 2025
Neural Information Processing Systems (NeurIPS) 2025 LLM Evaluation Workshop & Foundations of Reasoning in Language Models Workshop • December 2025
[c.13] Al-based Prediction Model and Precise Risk Stratification in Pediatric Neuroblastoma
J. Song, C. Kim, M. Rossip, H. Ku and A. Freiberg
European Society for Medical Oncology (ESMO) Congress • October 2025
[c.12]AI-driven prediction of post-transplant survival and stratification of HCC recurrence risk
J. Song, J. Kim, C. Kang, C. Kim, W. Yang, D. Shin, J. Kim, H. Ku, A. Choi and H. Moon
American Society of Clinical Oncology (ASCO) Annual Meeting • May 2025
🏅 [c.11]Evaluating Groups of Features via Consistency, Contiguity, and Stability
C. Kim, W. You, S. Havaldar and E. Wong
International Conference on Learning Representations (ICLR) – Tiny Papers Track (Oral) • May 2024
[c.10]An Information Content-based Method for Measuring the Risk of Personal Information Exposure
C. Kim, E. Jang, H. Ryu and K. Y. Lee
Korea Software Congress (KSC) 2022 • December 2022
🏅 [c.9] Development of YOLO-Based Electric Scooter Detection System
C. Kim, S. Yu, S. Yoon, G. Kim, H. Kong, J. Lee, S. Song and K. Y. Lee
Annual Conference of KIPS (ACK) 2022 • November 2022
Best Industry-University Cooperation Paper Award
[c.8]An LSTM-based Point-Of-Interest Recommendation System Considering Stay Time
S. Yu, C. Kim and K. Y. Lee
Korea Computer Congress (KCC) 2022 • June 2022
🏅 [c.7]Suggestion Through the Analysis of Research Trends in Nature-based Solutions
D. Kwak, H. Y. Seo, E. Jang, C. Kim, S. Yu, K. Y. Lee and E. Choi
The Korean Society of Climate Change Research (KSCC) First half conference 2022 • June 2022
Best Poster Paper Award
🏅 [c.6]A Gradient-Based Explanation Method for Graph Convolutional Neural Networks
C. Kim and K. Y. Lee
Annual Spring Conference of KIPS (ASK) 2022 • May 2022
Best Paper Award
🏅 [c.5]A Deep Learning Model for Identifying the Time Lag Between Explanatory Variables and Response Variable in Regression Analysis
C. Kim, E. Ryoo and K. Y. Lee
Annual Conference of KIPS (ACK) 2021 • November 2021
Best Paper Award
[c.4] Deep Learning-based Stock Price Prediction Using Limit Order Books and News Headlines
E. Ryoo, C. Kim and K. Y. Lee
Annual Conference of KIPS (ACK) 2021 • November 2021
🏅 [c.3] The Design of a Deep Learning Model that Simultaneously Finds Time Lags and a Regression Model Between Explanatory and Response Variables
C. Kim and K. Y. Lee
Society for e-Business Studies Fall Conference • November 2020
Best Presentation Award
🏅 [c.2] Frequent Subgraph Mining Using Graph Embedding
Y. Yang, J. Lee, H. Kim, C. Kim and K. Y. Lee
Korean Database Conference (KDBC) 2020 • September 2020
Best Paper Award
[c.1] Development of a Data Provenance Analysis System Using Node Embedding and Frequent Subgraph Mining Methods
J. Lee, Y. Yang, H. Kim, C. Kim and K. Y. Lee
Korean Database Conference (KDBC) 2020 • September 2020
(* Equal contribution)

Working Papers

[w.1] Position-aware eXplanation: A Model Agnostic Framework for Positional Attributions
C. Kim and E. Wong

Teaching

University of Pennsylvania, Philadelphia, PA, United States
Mathematics of Machine Learning (TA) • 2023 Fall

National Institute of Forest Science, Seoul, Republic of Korea
Data Analysis (Instructor) • 2022 Summer

Sookmyung Women’s University, Seoul, Republic of Korea
Introduction to Computer Programming (TA) • 2022 Fall
Programming Language (TA) • 2022 Spring
Understanding Software (TA) • 2022 Spring
Java Programming (TA) • 2021 Fall

Honors & Awards

[a.20] Sookmyung Research Support Scholarship • February 2023
[a.19] 2022 KIPS-AOH(Award of Human Technology) Thesis Idea Award
Korea Information Processing Society, Huawei • December 2022
[a.18] Annual Conference of KIPS 2022 Best Industry-University Cooperation Paper Award [r.9]
Korea Information Processing Society • November 2022
[a.17] Competition Scholarship for Graduate School • Aug. 2022
[a.16] 2022 First Half Conference of KSCC Best Poster Paper Award [r.7]
The Korean Society of Climate Change Research • Jun. 2022
[a.15] Annual Spring Conference of KIPS 2022 Best Paper Award [r.6]
Korea Information Processing Society • May 2022
[a.14] Undang Academic Award (Student Thesis Sector)
Future & Software Foundation, Korea Information Processing Society • December 2021
[a.13] Annual Conference of KIPS 2021 Best Paper Award [r.5]
Korea Information Processing Society • November 2021
[a.12] Integrated Master Course Scholarship • September 2021 – February 2023
[a.11] Research Intern Scholarship • February 2021, August 2021
[a.10] Sookmyung Leader Activity Scholarship • January 2021, July 2021
[a.9] 2020 SEBS Fall Conference Best Presentation Award [r.3]
Society for e-Business Studies • November 2020
[a.8] Korean DataBase Conference 2020 Best Paper Award [r.2]
KIISE Database Society of Korea • September 2020
[a.7] Snoway Scholarship • January 2021
[a.6] Career Development Scholarship • June 2019 – September 2019
[a.5] Sookmyung Creative Talent Scholarship • April 2019
[a.4] Sookmyung Special Scholarship • February 2019, February 2020, December 2020
[a.3] Competition Scholarship • November 2018
[a.2] Self-development Scholarship • November 2018 – June 2019
[a.1] Academic Excellence Scholarship • July 2018, January 2019, January 2021

Copyrights & Patents

· Method, apparatus and computer program for measuring a risk of personal information exposure for large amounts of data
Patent application number: kr 10-2022-0184478 • December 2022
· Spark-based distributed pseudonymization system for large files
Corporate registration number: C-2022-047974• November 2022
· Spark-based large file distributed pseudonymous · anonymous processing program
Corporate registration number: C-2021-046273 • November 2021
· System for predicting response data and control method thereof (Licensed to a private company in 2025)
Patent application number: kr 10-2021-0014621 • February 2021
Patent registration number: kr 10-2628947 • January 2024
· A program for finding entities with similar provenance of personal information
Corporate registration number: C-2020-029710 • September 2020