Sundong Kim

Orcid: 0000-0001-9687-2409

According to our database1, Sundong Kim authored at least 39 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Explainable Product Classification for Customs.
ACM Trans. Intell. Syst. Technol., April, 2024

DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation.
CoRR, 2024

Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task.
CoRR, 2024

System-2 Reasoning via Generality and Adaptation.
CoRR, 2024

Addressing and Visualizing Misalignments in Human Task-Solving Trajectories.
CoRR, 2024

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL.
CoRR, 2024

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning.
CoRR, 2024

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus.
CoRR, 2024

Abductive Symbolic Solver on Abstraction and Reasoning Corpus.
Proceedings of the First International Workshop on Logical Foundations of Neuro-Symbolic AI (LNSAI 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

O2ARC 3.0: A Platform for Solving and Creating ARC Tasks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Active Learning for Human-in-the-Loop Customs Inspection.
IEEE Trans. Knowl. Data Eng., December, 2023

Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer.
CoRR, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
Proceedings of the ACM Web Conference 2023, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Machine Learning Driven Aid Classification for Sustainable Development.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Customs Import Declaration Datasets.
CoRR, 2022

Coherence-based Label Propagation over Time Series for Accelerated Active Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Disruption in Chinese E-Commerce During COVID-19.
Frontiers Comput. Sci., 2021

Classification of Goods Using Text Descriptions With Sentences Retrieval.
CoRR, 2021

Responses to COVID-19 with Probabilistic Programming.
CoRR, 2021

Customs Fraud Detection in the Presence of Concept Drift.
Proceedings of the 2021 International Conference on Data Mining, 2021

Improving Unsupervised Image Clustering With Robust Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Ada-boundary: accelerating DNN training via adaptive boundary batch selection.
Mach. Learn., 2020

A systematic framework of predicting customer revisit with in-store sensors.
Knowl. Inf. Syst., 2020

Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning.
CoRR, 2020

Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform.
CoRR, 2020

Neural User Embedding from Browsing Events.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Revisit Prediction by Deep Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018
Utilizing In-store Sensors for Revisit Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

2016
Behavior of Self-Motivated Agents in Complex Networks.
CoRR, 2016

Automatic Knowledge Base Evolution by Learning Instances.
CoRR, 2016

2015
Friend recommendation with a target user in social networking services.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015


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