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ORCIDSejin Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]Innyoung Kim
, Sejin Kim, Donghyun You:
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning. Comput. Phys. Commun. 294: 108962 (2024)- [c13]Rayoung Park, Heonzoo Lee, Tan Loc Nguyen, Sejin Kim, Yonggwan Won:
A Fast and Simple Method for Sleep Breathing Cycle Segmentation in Time Domain. IMCOM 2024: 1-3 - [c12]Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim:
O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. IJCAI 2024: 8793-8796 - [d2]Sejin Kim, Wan Kyun Chung:
sEMG dataset with respect to upper-limb positions. IEEE DataPort, 2024
- [d1]Sejin Kim, Wan Kyun Chung:
sEMG dataset with respect to upper-limb positions. IEEE DataPort, 2024 - [i15]Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim:
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. CoRR abs/2403.11793 (2024) - [i14]Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim:
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoRR abs/2407.20806 (2024) - [i13]Jihwan Lee, Woochang Sim, Sejin Kim, Sundong Kim:
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL. CoRR abs/2408.14855 (2024) - [i12]Sejin Kim, Hosung Lee, Sundong Kim:
Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. CoRR abs/2409.14191 (2024) - [i11]Sejin Kim, Kyung Kiu Kim, Yunseok Seo:
Phase Diagram from Nonlinear Interaction between Superconducting Order and Density: Toward Data-Based Holographic Superconductor. CoRR abs/2410.06523 (2024) - [i10]Sejin Kim, Sundong Kim:
System-2 Reasoning via Generality and Adaptation. CoRR abs/2410.07866 (2024) - [i9]Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task. CoRR abs/2410.11324 (2024) - [i8]Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation. CoRR abs/2410.11338 (2024) - 2023
- [j6]Sejin Kim, Yoonhee Kim:
Interference-aware execution framework with Co-scheML on GPU clusters. Clust. Comput. 26(5): 2577-2589 (2023) - [c11]Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee:
Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS 2023: 11-21 - [i7]Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim:
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer. CoRR abs/2306.08204 (2023) - 2022
- [j5]Sejin Kim, Jungwoo Kim, Yongjoo Jang, Jaeha Kung, Sungjin Lee:
SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs. IEEE Comput. Archit. Lett. 21(2): 157-160 (2022) - [j4]Sejin Kim, Yoonhee Kim:
K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs. Clust. Comput. 25(1): 597-617 (2022) - [j3]Sejin Kim, Innyoung Kim, Donghyun You:
Multi-condition multi-objective optimization using deep reinforcement learning. J. Comput. Phys. 462: 111263 (2022) - [i6]Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani:
FastCPH: Efficient Survival Analysis for Neural Networks. CoRR abs/2208.09793 (2022) - [i5]Innyoung Kim, Sejin Kim, Donghyun You:
Optimal mesh generation for a blade passage using deep reinforcement learning. CoRR abs/2209.05280 (2022) - 2021
- [j2]Yongjoo Jang, Sejin Kim, Daehoon Kim, Sungjin Lee, Jaeha Kung:
Deep Partitioned Training From Near-Storage Computing to DNN Accelerators. IEEE Comput. Archit. Lett. 20(1): 70-73 (2021) - [c10]Sejin Kim, Hee Seung Lee:
Appreciating interleaved benefits: The effect of metacognitive activities on the selection of learning strategy. CogSci 2021 - [c9]Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains:
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks. SPACA 2021: 223-231 - [i4]Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains:
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. CoRR abs/2101.11935 (2021) - [i3]Sejin Kim, Innyoung Kim, Donghyun You:
Multi-condition multi-objective optimization using deep reinforcement learning. CoRR abs/2110.05945 (2021) - [i2]Seungpyo Hong, Sejin Kim, Donghyun You:
Control of a fly-mimicking flyer in complex flow using deep reinforcement learning. CoRR abs/2111.03454 (2021) - 2020
- [c8]Sejin Kim, Yoonhee Kim:
Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles. ACSOS Companion 2020: 19-23 - [c7]Sejin Kim, Yoonhee Kim:
Exploiting Interference-aware GPU Container Concurrency Learning from Resource Usage of Application Execution. APNOMS 2020: 173-178 - [c6]Sejin Kim, Yoonhee Kim:
Co-scheML: Interference-aware Container Co-scheduling Scheme Using Machine Learning Application Profiles for GPU Clusters. CLUSTER 2020: 104-108 - [c5]Sejin Kim, Taejin Lee:
XGBoost based Packer Identification study using Entry point. ICEA 2020: 45:1-45:3 - [c4]Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee:
Revisit Prediction by Deep Survival Analysis. PAKDD (2) 2020: 514-526 - [i1]Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains:
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks. CoRR abs/2012.05765 (2020)
2010 – 2019
- 2019
- [c3]Sejin Kim, Jisun Oh, Yoonhee Kim:
Data Provenance for Experiment Management of Scientific Applications on GPU. APNOMS 2019: 1-4 - 2018
- [c2]Joonwoo Ahn, Minsung Kim, Sejin Kim, Sangyup Lee, Jaeheung Park:
Formation-Based Tracking Method for Human Following Robot. UR 2018: 24-28 - 2016
- [c1]Sang-Jun Yea, Sejin Kim, John-Michaël To, Jae-Gil Lee:
SentiWorld: Understanding Emotions between Countries Based on Tweets. ICWSM 2016: 762-763 - 2015
- [j1]Sejin Kim, Hyerim Kim, Sung Jo Kim:
A trust value-based scheme for efficient contents sharing over mobile P2P networks. J. Supercomput. 71(6): 2177-2189 (2015)
Coauthor Index
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last updated on 2024-12-01 00:13 CET by the dblp team
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