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ORCIDSejin Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Sejin Kim 0002
![[0000-0002-3328-5757]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3328-5757")
(aka: Se-Jin Kim 0002) — Gwangju Institute of Science and Technology, South Korea (and 1 more) - Sejin Kim 0004 (aka: Se Jin Kim 0004) — Pohang University of Science and Technology, Department of Mechanical Engineering, South Korea
- Se-Jin Kim 0001 — Chosun University, Department of Computer Science and Statistics, Gwangju, South Korea (and 2 more)
- Se-Jin Kim 0003 — Chonnam National University, South Korea
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2020 – today
- 2024
[j10]Se Jin Kim:
Generative Artificial Intelligence in Collaborative Ideation: Educational Insight From Fashion Students. IEEE Access 12: 49261-49274 (2024)- [j9]Hyun-Taek Hong, Dae-Sung Wang, Se-Jin Kim, Hoon Sung, Chang-Won Park, Ho-Hyun Park, Chan-Gun Lee:
Implementing and Evaluating Automated Bug Triage in Industrial Projects. IEEE Access 12: 193717-193730 (2024) - [j8]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) - [c12]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 - [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 - [i8]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) - [i7]Jaewoong Lee, Junhee Woo, Sejin Kim, Cinthya Paulina, Hyunmin Park, Hee-Tak Kim, Steve Park, Jihan Kim:
Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining. CoRR abs/2411.17625 (2024) - 2023
- [j7]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 - 2022
- [j6]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) - [j5]Sejin Kim, Yoonhee Kim:
K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs. Clust. Comput. 25(1): 597-617 (2022) - [j4]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
- [j3]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 - [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
- [c4]Sang-Hee Kweon, Bo Young Kang, Liyao Ma, Wei Guo, Zaimin Tian, Se-Jin Kim, Heaji Kweon:
Social Media Competition for User Satisfaction: A Niche Analysis of Facebook, Instagram, YouTube, Pinterest, and Twitter. AHFE (14) 2019: 239-249 - [c3]Sejin Kim, Jisun Oh, Yoonhee Kim:
Data Provenance for Experiment Management of Scientific Applications on GPU. APNOMS 2019: 1-4 - 2018
- [j2]Se-Jin Kim:
Dynamic Channel Assignment with Consideration of Interference and Fairness for Dense Small-Cell Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1984-1987 (2018) - [c2]Joonwoo Ahn, Minsung Kim, Sejin Kim, Sangyup Lee, Jaeheung Park:
Formation-Based Tracking Method for Human Following Robot. UR 2018: 24-28 - 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)
2000 – 2009
- 2009
- [c1]Geun Bum Koo, Jin Bae Park, Young Hoon Joo, Se-Jin Kim:
Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements. FUZZ-IEEE 2009: 240-244
Coauthor Index
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