Sundong Kim - RankMe

61 papers A* 10A 1Journal 39Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving. KDD (1) Sejin Kim, Hayan Choi, Seokki Lee, Sundong Kim
2025	J	`jnl`	AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification. CoRR Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
2025	J	`jnl`	ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving. CoRR Sejin Kim, Hayan Choi, Seokki Lee, Sundong Kim
2025	—	`conf`	Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. KDD (2) Sejin Kim, Hosung Lee, Sundong Kim
2025	J	`jnl`	Can Large Language Models Develop Gambling Addiction? CoRR Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim
2025	J	`jnl`	Causal-Paced Deep Reinforcement Learning. CoRR Geonwoo Cho, Jaegyun Im, Doyoon Kim, Sundong Kim
2025	J	`jnl`	GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning. CoRR Woochang Sim, Hyunseok Ryu, Kyungmin Choi, Sungwon Han, Sundong Kim
2025	J	`jnl`	Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. ACM Trans. Intell. Syst. Technol. Seungpil Lee, Woochang Sim, Donghyeon Shin, Wongyu Seo, Jiwon Park, Seokki Lee, Sanha Hwang, Sejin Kim, Sundong Kim
2025	J	`jnl`	Solution Augmentation for ARC Problems Using GFlowNet: A Probabilistic Exploration Approach. Trans. Mach. Learn. Res. Sanha Hwang, Seungpil Lee, Sejin Kim, Sundong Kim
2025	J	`jnl`	TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design. CoRR Geonwoo Cho, Jaegyun Im, Jihwan Lee, Hojun Yi, Sejin Kim, Sundong Kim
2025	J	`jnl`	The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards. CoRR Sundong Kim
2024	—	`conf`	ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoLLAs Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim
2024	J	`jnl`	ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoRR Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim
2024	—	`conf`	Abductive Symbolic Solver on Abstraction and Reasoning Corpus. LNSAI@IJCAI Mintaek Lim, Seokki Lee, Liyew Woletemaryam Abitew, Sundong Kim
2024	J	`jnl`	Abductive Symbolic Solver on Abstraction and Reasoning Corpus. CoRR Mintaek Lim, Seokki Lee, Liyew Woletemaryam Abitew, Sundong Kim
2024	J	`jnl`	Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. CoRR Sejin Kim, Hosung Lee, Sundong Kim
2024	J	`jnl`	DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation. CoRR Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim
2024	J	`jnl`	Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task. CoRR Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim
2024	J	`jnl`	Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL. CoRR Jihwan Lee, Woochang Sim, Sejin Kim, Sundong Kim
2024	J	`jnl`	Explainable Product Classification for Customs. ACM Trans. Intell. Syst. Technol. Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
2024	—	`conf`	From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions. EMNLP (Findings) Donghyeon Shin, Seungpil Lee, Klea Kovacec, Sundong Kim
2024	A*	`conf`	O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. IJCAI Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim
2024	J	`jnl`	Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. CoRR Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim
2024	J	`jnl`	System-2 Reasoning via Generality and Adaptation. CoRR Sejin Kim, Sundong Kim
2023	J	`jnl`	Active Learning for Human-in-the-Loop Customs Inspection. IEEE Trans. Knowl. Data Eng. Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha
2023	A*	`conf`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Explainable Product Classification for Customs. CoRR Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
2023	A*	`conf`	FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	J	`jnl`	FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	A*	`conf`	Machine Learning Driven Aid Classification for Sustainable Development. IJCAI Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park
2023	A*	`conf`	Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer. CoRR Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim
2022	A*	`conf`	Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2022	J	`jnl`	Customs Import Declaration Datasets. CoRR Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi
2022	—	`conf`	FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022	J	`jnl`	FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022	A*	`conf`	Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. AAAI Sungwon Park, Sundong Kim, Meeyoung Cha
2022	J	`jnl`	Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. CoRR Sungwon Park, Sundong Kim, Meeyoung Cha
2021	J	`jnl`	Classification of Goods Using Text Descriptions With Sentences Retrieval. CoRR Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim
2021	—	`conf`	Customs Fraud Detection in the Presence of Concept Drift. ICDM (Workshops) Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
2021	J	`jnl`	Customs Fraud Detection in the Presence of Concept Drift. CoRR Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
2021	J	`jnl`	Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li
2021	A*	`conf`	Improving Unsupervised Image Clustering With Robust Learning. CVPR Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
2021	J	`jnl`	Responses to COVID-19 with Probabilistic Programming. CoRR Assem Zhunis, Tung-Duong Mai, Sundong Kim
2020	J	`jnl`	A systematic framework of predicting customer revisit with in-store sensors. Knowl. Inf. Syst. Sundong Kim, Jae-Gil Lee
2020	J	`jnl`	Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
2020	A	`conf`	Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2020	A*	`conf`	DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
2020	J	`jnl`	Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform. CoRR Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li
2020	J	`jnl`	Improving Unsupervised Image Clustering With Robust Learning. CoRR Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
2020	—	`conf`	Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. ECCV (24) Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
2020	—	`conf`	Neural User Embedding from Browsing Events. ECML/PKDD (4) Mingxiao An, Sundong Kim
2020	—	`conf`	Revisit Prediction by Deep Survival Analysis. PAKDD (2) Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
2020	J	`jnl`	Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. CoRR Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha
2019	J	`jnl`	Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2018	A*	`conf`	Utilizing In-store Sensors for Revisit Prediction. ICDM Sundong Kim, Jae-Gil Lee
2016	J	`jnl`	Automatic Knowledge Base Evolution by Learning Instances. CoRR Sundong Kim
2016	J	`jnl`	Behavior of Self-Motivated Agents in Complex Networks. CoRR Sundong Kim, Jin-Jae Lee
2015	—	`conf`	Friend recommendation with a target user in social networking services. ICDE Workshops Sundong Kim