Sejin Kim
Orcid: 0000-0002-3328-5757
According to our database1,
Sejin Kim
authored at least 32 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning.
Comput. Phys. Commun., January, 2024
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
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024
2023
Clust. Comput., October, 2023
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer.
CoRR, 2023
Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations.
Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023
2022
J. Comput. Phys., 2022
CoRR, 2022
K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs.
Clust. Comput., 2022
IEEE Comput. Archit. Lett., 2022
2021
CoRR, 2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.
CoRR, 2021
IEEE Comput. Archit. Lett., 2021
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks.
Proceedings of AAAI Symposium on Survival Prediction, 2021
Appreciating interleaved benefits: The effect of metacognitive activities on the selection of learning strategy.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the ACM ICEA '20: 2020 ACM International Conference on Intelligent Computing and its Emerging Applications, GangWon Republic of Korea, December 12, 2020
Co-scheML: Interference-aware Container Co-scheduling Scheme Using Machine Learning Application Profiles for GPU Clusters.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
Exploiting Interference-aware GPU Container Concurrency Learning from Resource Usage of Application Execution.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020
Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020
2019
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019
2018
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018
2016
Proceedings of the Tenth International Conference on Web and Social Media, 2016
2015
J. Supercomput., 2015