| 2026 | GECCO | Semantic Mutation via LLMs: A Hybrid Approach to Evolutionary Program Synthesis. | Woletemaryam Liyew Abitew, Dojun Oh, Seokki Lee, Sejin Kim, Sundong Kim |
| 2026 | KDD | ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving. | Sejin Kim, Hayan Choi, Seokki Lee, Sundong Kim |
| 2025 | KDD | Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. | Sejin Kim, Hosung Lee, Sundong Kim |
| 2024 | EMNLP | From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions. | Donghyeon Shin, Seungpil Lee, Klea Kovacec, Sundong Kim |
| 2024 | IJCAI | O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. | Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim |
| 2023 | ICCV | Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. | Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha |
| 2023 | IJCAI | Machine Learning Driven Aid Classification for Sustainable Development. | Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park |
| 2023 | KDD | FedDefender: Client-Side Attack-Tolerant Federated Learning. | Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha |
| 2023 | WWW | DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. | Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha |
| 2022 | AAAI | Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. | Sungwon Park, Sundong Kim, Meeyoung Cha |
| 2022 | ECCV | FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. | Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha |
| 2022 | ICLR | Coherence-based Label Propagation over Time Series for Accelerated Active Learning. | Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2021 | CVPR | Improving Unsupervised Image Clustering With Robust Learning. | Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha |
| 2020 | CIKM | Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. | Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee |
| 2020 | ECCV | Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. | Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha |
| 2020 | KDD | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. | Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha |
| 2020 | PAKDD | Revisit Prediction by Deep Survival Analysis. | Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee |
| 2018 | ICDM | Utilizing In-store Sensors for Revisit Prediction. | Sundong Kim, Jae-Gil Lee |
| 2015 | ICDE | Friend recommendation with a target user in social networking services. | Sundong Kim |