Friend recommendation with a target user in social networking services. - Sundong Kim (ICDE Workshops, 2015)

Automatic Knowledge Base Evolution by Learning Instances. - Sundong Kim (CoRR, 2016)

Behavior of Self-Motivated Agents in Complex Networks. - Sundong Kim; Jin-Jae Lee (CoRR, 2016)

Utilizing In-store Sensors for Revisit Prediction. - Sundong Kim; Jae-Gil Lee 001 (ICDM, 2018)

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. - Hwanjun Song; Minseok Kim; Sundong Kim; Jae-Gil Lee 001 (CIKM, 2020)

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. - Sungwon Han 001; Sungwon Park 001; Sungkyu Park; Sundong Kim; Meeyoung Cha (ECCV (24), 2020)

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 (KDD, 2020)

Revisit Prediction by Deep Survival Analysis. - Sundong Kim; Hwanjun Song; Sejin Kim 002; Beomyoung Kim; Jae-Gil Lee 001 (PAKDD (2), 2020)

Neural User Embedding from Browsing Events. - Mingxiao An; Sundong Kim (ECML/PKDD (4), 2020)

Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform. - Yuan Yuan 032; Muzhi Guan; Zhilun Zhou; Sundong Kim; Meeyoung Cha; Yong Li 008 (CoRR, 2020)

Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. - Sundong Kim; Tung-Duong Mai; Thi Nguyen Duc Khanh; Sungwon Han 001; Sungwon Park 001; Karandeep Singh; Meeyoung Cha (CoRR, 2020)

A systematic framework of predicting customer revisit with in-store sensors. - Sundong Kim; Jae-Gil Lee 001 (Knowl. Inf. Syst., 2020)

Ada-boundary: accelerating DNN training via adaptive boundary batch selection. - Hwanjun Song; Sundong Kim; Minseok Kim; Jae-Gil Lee 001 (Mach. Learn., 2020)

Improving Unsupervised Image Clustering With Robust Learning. - Sungwon Park 001; Sungwon Han 001; Sundong Kim; Danu Kim; Sungkyu Park; Seunghoon Hong; Meeyoung Cha (CVPR, 2021)

Customs Fraud Detection in the Presence of Concept Drift. - Tung-Duong Mai; Kien Hoang; Aitolkyn Baigutanova; Gaukhartas Alina; Sundong Kim (ICDM (Workshops), 2021)

Responses to COVID-19 with Probabilistic Programming. - Assem Zhunis; Tung-Duong Mai; Sundong Kim (CoRR, 2021)

Classification of Goods Using Text Descriptions With Sentences Retrieval. - Eunji Lee; Sundong Kim; Sihyun Kim; Sungwon Park 001; Meeyoung Cha; Soyeon Jung; Suyoung Yang; Yeonsoo Choi; Sungdae Ji; Minsoo Song; Heeja Kim (CoRR, 2021)

Disruption in Chinese E-Commerce During COVID-19. - Yuan Yuan 032; Muzhi Guan; Zhilun Zhou; Sundong Kim; Meeyoung Cha; Depeng Jin; Yong Li 008 (Frontiers Comput. Sci., 2021)

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. - Sungwon Park 001; Sundong Kim; Meeyoung Cha (AAAI, 2022)

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xing Xie 001; Meeyoung Cha (ECCV (30), 2022)

Coherence-based Label Propagation over Time Series for Accelerated Active Learning. - Yooju Shin; Susik Yoon; Sundong Kim; Hwanjun Song; Jae-Gil Lee 001; Byung Suk Lee 001 (ICLR, 2022)

Customs Import Declaration Datasets. - Chaeyoon Jeong; Sundong Kim; Jaewoo Park; Yeonsoo Choi (CoRR, 2022)

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (ICCV, 2023)

Machine Learning Driven Aid Classification for Sustainable Development. - Junho Lee; Hyeonho Song; Dongjoon Lee; Sundong Kim; Jisoo Sim; Meeyoung Cha; Kyung Ryul Park (IJCAI, 2023)

FedDefender: Client-Side Attack-Tolerant Federated Learning. - Sungwon Park 001; Sungwon Han 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (KDD, 2023)

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. - Sungwon Han 001; SeungEon Lee 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xiting Wang; Xing Xie 001; Meeyoung Cha (WWW, 2023)

Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer. - Jaehyun Park 015; Jaegyun Im; Sanha Hwang; Mintaek Lim; Sabina Ualibekova; Sejin Kim 002; Sundong Kim (CoRR, 2023)

Active Learning for Human-in-the-Loop Customs Inspection. - Sundong Kim; Tung-Duong Mai; Sungwon Han 001; Sungwon Park 001; Thi Nguyen Duc Khanh; Jaechan So; Karandeep Singh; Meeyoung Cha (IEEE Trans. Knowl. Data Eng., 2023)

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. - Hosung Lee; Sejin Kim 002; Seungpil Lee; Sanha Hwang; Jihwan Lee; Byung-Jun Lee; Sundong Kim (CoLLAs, 2024)

From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions. - Donghyeon Shin; Seungpil Lee; Klea Kovacec; Sundong Kim (EMNLP (Findings), 2024)

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 002; Sundong Kim (IJCAI, 2024)

Abductive Symbolic Solver on Abstraction and Reasoning Corpus. - Mintaek Lim; Seokki Lee; Liyew Woletemaryam Abitew; Sundong Kim (LNSAI@IJCAI, 2024)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. - Seungpil Lee; Woochang Sim; Donghyeon Shin; Sanha Hwang; Wongyu Seo; Jiwon Park; Seokki Lee; Sejin Kim 002; Sundong Kim (CoRR, 2024)

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL. - Jihwan Lee; Woochang Sim; Sejin Kim 002; Sundong Kim (CoRR, 2024)

Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. - Sejin Kim 002; Hosung Lee; Sundong Kim (CoRR, 2024)

System-2 Reasoning via Generality and Adaptation. - Sejin Kim 002; Sundong Kim (CoRR, 2024)

Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task. - Yunho Kim; Jaehyun Park 015; Heejun Kim; Sejin Kim 002; Byung-Jun Lee; Sundong Kim (CoRR, 2024)

DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation. - Jaehyun Park 015; Yunho Kim; Sejin Kim 002; Byung-Jun Lee; Sundong Kim (CoRR, 2024)

Explainable Product Classification for Customs. - Eunji Lee; Sihyeon Kim; Sundong Kim; Soyeon Jung; Heeja Kim; Meeyoung Cha (ACM Trans. Intell. Syst. Technol., 2024)

GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning. - Woochang Sim; Hyunseok Ryu; Kyungmin Choi; Sungwon Han; Sundong Kim (CoRR, 2025)

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification. - Geonwoo Cho; Jaemoon Lee; Jaegyun Im; Subi Lee; Jihwan Lee; Sundong Kim (CoRR, 2025)

TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design. - Geonwoo Cho; Jaegyun Im; Jihwan Lee; Hojun Yi; Sejin Kim; Sundong Kim (CoRR, 2025)

Causal-Paced Deep Reinforcement Learning. - Geonwoo Cho; Jaegyun Im; Doyoon Kim; Sundong Kim (CoRR, 2025)

The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards. - Sundong Kim (CoRR, 2025)