Sejin Kim

According to our database, Sejin Kim authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning.

Innyoung Kim, Sejin Kim, Donghyun You

Comput. Phys. Commun., January, 2024

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

Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim

CoRR, 2024

A Fast and Simple Method for Sleep Breathing Cycle Segmentation in Time Domain.

Rayoung Park, Heonzoo Lee, Tan Loc Nguyen, Sejin Kim, Yonggwan Won

Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

2023

Interference-aware execution framework with Co-scheML on GPU clusters.

Sejin Kim, Yoonhee Kim

Clust. Comput., October, 2023

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

Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim

CoRR, 2023

Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations.

Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

2022

Multi-condition multi-objective optimization using deep reinforcement learning.

Sejin Kim, Innyoung Kim, Donghyun You

J. Comput. Phys., 2022

Optimal mesh generation for a blade passage using deep reinforcement learning.

Innyoung Kim, Sejin Kim, Donghyun You

CoRR, 2022

FastCPH: Efficient Survival Analysis for Neural Networks.

Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani

CoRR, 2022

K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs.

Sejin Kim, Yoonhee Kim

Clust. Comput., 2022

SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs.

Sejin Kim, Jungwoo Kim, Yongjoo Jang, Jaeha Kung, Sungjin Lee

IEEE Comput. Archit. Lett., 2022

2021

Control of a fly-mimicking flyer in complex flow using deep reinforcement learning.

Seungpyo Hong, Sejin Kim, Donghyun You

CoRR, 2021

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.

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

CoRR, 2021

Deep Partitioned Training From Near-Storage Computing to DNN Accelerators.

Yongjoo Jang, Sejin Kim, Daehoon Kim, Sungjin Lee, Jaeha Kung

IEEE Comput. Archit. Lett., 2021

Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks.

Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains

Proceedings of AAAI Symposium on Survival Prediction, 2021

Appreciating interleaved benefits: The effect of metacognitive activities on the selection of learning strategy.

Sejin Kim, Hee Seung Lee

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Revisit Prediction by Deep Survival Analysis.

Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

XGBoost based Packer Identification study using Entry point.

Sejin Kim, Taejin Lee

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.

Sejin Kim, Yoonhee Kim

Proceedings of the IEEE International Conference on Cluster Computing, 2020

Exploiting Interference-aware GPU Container Concurrency Learning from Resource Usage of Application Execution.

Sejin Kim, Yoonhee Kim

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles.

Sejin Kim, Yoonhee Kim

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Data Provenance for Experiment Management of Scientific Applications on GPU.

Sejin Kim, Jisun Oh, Yoonhee Kim

Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018

Formation-Based Tracking Method for Human Following Robot.

Joonwoo Ahn, Minsung Kim, Sejin Kim, Sangyup Lee, Jaeheung Park

Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

2016

SentiWorld: Understanding Emotions between Countries Based on Tweets.

Sang-Jun Yea, Sejin Kim, John-Michaël To, Jae-Gil Lee

Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015

A trust value-based scheme for efficient contents sharing over mobile P2P networks.

Sejin Kim, Hyerim Kim, Sung Jo Kim

J. Supercomput., 2015