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ORCIDYejin 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
- Yejin Kim 0001
![[0000-0001-7815-6310]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7815-6310")
— University of Texas Health Science Center at Houston, Houston, TX, USA - Yejin Kim 0002 — Hongik University, School of Games, Sejong, South Korea
- Yejin Kim 0003 — Allen Institute for AI (AI2), Seattle, WA, USA
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2020 – today
- 2025
[j17]Yejin Kim, Chang Choi:
Utilization of a hierarchical electrocardiogram classification model for enhanced biometric identification. Comput. Biol. Medicine 184: 109254 (2025)- [j16]Yejin Kim, Dongsuk Oh, H. Howie Huang:
SynCSE: syntax graph-based contrastive learning of sentence embeddings. Expert Syst. Appl. 287: 128047 (2025) - [j15]Yejin Kim, Hyoseon Yang, Jungho Yoon:
Shape-preserving subdivision scheme with the third-order accuracy and C2 smoothness. Math. Comput. Simul. 235: 160-174 (2025) - [c20]Shaghayegh Agah, Yejin Kim, Neeraj Sharma, Mayur Nankani, Kevin Foley, H. Howie Huang, Sardar Hamidian:
Predicting Movie Hits Before They Happen with LLMs. UMAP 2025: 370-373 - [i17]Youngbin Lee, Yejin Kim, Suin Kim, Yongjae Lee:
Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model. CoRR abs/2504.14345 (2025) - [i16]Shaghayegh Agah, Yejin Kim, Neeraj Sharma, Mayur Nankani, Kevin Foley, H. Howie Huang, Sardar Hamidian:
Predicting Movie Hits Before They Happen with LLMs. CoRR abs/2505.02693 (2025) - [i15]Joonkyu Kim, Yejin Kim, Jy-yong Sohn:
Understanding the behavior of representation forgetting in continual learning. CoRR abs/2505.20970 (2025) - 2024
- [j14]Yejin Kim, Young-Keun Kim:
Physics-Informed Time-Frequency Fusion Network With Attention for Noise-Robust Bearing Fault Diagnosis. IEEE Access 12: 12517-12532 (2024) - [j13]Yejin Kim, David Camacho, Chang Choi:
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations. Cogn. Comput. 16(2): 776-787 (2024) - [j12]Yejin Kim, Seonmi Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee:
Multi-attention recommender system for non-fungible tokens. Eng. Appl. Artif. Intell. 137: 109179 (2024) - [j11]Geon-Hee Lee, Tae-Hee Lee, Ji-Soo Choi, Young-Hun Cho, Ye-Jin Kim, Hoon-Kyu Shin, Sang-Mo Koo:
Effects of NiO doping and trench wall tilt on Ga2O3 PiN diodes performance. Microelectron. J. 153: 106399 (2024) - [j10]Myeongseop Kim, Sungjun Kim, Dabin Lee, Hyo Keun Jang, Sanghoon Park, Yejin Kim, Jaesoon Kim, Seok-Hyun Youn, Huitae Joo, Seunghyun Son, Sang Heon Lee:
Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea. Remote. Sens. 16(5): 829 (2024) - [c19]Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. ClinicalNLP@NAACL 2024: 292-300 - [c18]Cinoo Kang, Yejin Kim, Jieun Oh, Hyewon Yun, Juyeon Yang, Chaerin Park, Sooyoung Kim, Seoyeong Ahn, Ayoung Kim, Dohoon Kwon, Jinah Park, Ejin Kim, Ho Kim, Whanhee Lee:
Relationship between short-term ozone exposure, cause-specific mortality, and high-risk populations: A nationwide, time-stratified, case-crossover study. BIBM 2024: 1 - [c17]Jiwoo Park, Harin Min, Yejin Kim, Seoyeong Ahn, Whanhee Lee:
Machine learning Model, predicting South Korea precipitation. BIBM 2024: 7116 - [c16]Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang:
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. LREC/COLING 2024: 8743-8755 - [c15]Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà:
Prompts have evil twins. EMNLP 2024: 46-74 - [c14]Youngbin Lee, Yejin Kim, Javier Sanz-Cruzado, Richard McCreadie, Yongjae Lee:
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. ICAIF 2024: 795-803 - [i14]Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. CoRR abs/2403.14255 (2024) - [i13]Yejin Kim, Youngbin Lee, Vincent Yuan, Annika Lee, Yongjae Lee:
A Temporal Graph Network Framework for Dynamic Recommendation. CoRR abs/2403.16066 (2024) - [i12]Minjoo Choi, Seonmi Kim, Yejin Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee:
A Recommender System for NFT Collectibles with Item Feature. CoRR abs/2403.18305 (2024) - [i11]Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang:
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. CoRR abs/2403.18667 (2024) - [i10]Yejin Kim, Youngbin Lee, Minyoung Choe, Sungju Oh, Yongjae Lee:
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks. CoRR abs/2404.00060 (2024) - [i9]Youngbin Lee, Yejin Kim, Yongjae Lee:
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning. CoRR abs/2404.07223 (2024) - [i8]Yejin Kim, Eojin Kang, Juae Kim, H. Howie Huang:
Causal Reasoning in Large Language Models: A Knowledge Graph Approach. CoRR abs/2410.11588 (2024) - [i7]Chanyeol Choi, Junseong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn:
Linq-Embed-Mistral Technical Report. CoRR abs/2412.03223 (2024) - 2023
- [j9]Yejin Kim, Gyuho Choi, Chang Choi:
One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System. IEEE Access 11: 102483-102491 (2023) - [j8]Junhyun Cho, Donghee Yang, Yejin Kim, Sungchul Lee:
An operator splitting method for multi-asset options with the Feynman-Kac formula. Comput. Math. Appl. 135: 93-101 (2023) - [j7]Yejin Kim, Young-Keun Kim:
Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis. Sensors 23(23): 9311 (2023) - [j6]Young-Hoon Park, Yejin Kim:
Visualization with Prediction Scheme for Early DDoS Detection in Ethereum. Sensors 23(24): 9763 (2023) - [c13]Seonmi Kim, Seyoung Kim, Yejin Kim, Junpyo Park, Seongjin Kim, Moolkyeol Kim, Chang Hwan Sung, Joohwan Hong, Yongjae Lee:
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports? ICAIF 2023: 383-391 - [i6]Seonmi Kim, Youngbin Lee, Yejin Kim, Joohwan Hong, Yongjae Lee:
NFTs to MARS: Multi-Attention Recommender System for NFTs. CoRR abs/2306.10053 (2023) - [i5]Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà:
PROPANE: Prompt design as an inverse problem. CoRR abs/2311.07064 (2023) - 2022
- [j5]Junhyun Cho, Yejin Kim, Sungchul Lee:
An accurate and stable numerical method for option hedge parameters. Appl. Math. Comput. 430: 127276 (2022) - [j4]Wanhyuk Seo, Yejin Kim, Ho Sim, Yungoo Song, Tae-Sub Yun:
Classification of igneous rocks from petrographic thin section images using convolutional neural network. Earth Sci. Informatics 15(2): 1297-1307 (2022) - [j3]Juae Kim, Yejin Kim, Sangwoo Kang:
Weakly labeled data augmentation for social media named entity recognition. Expert Syst. Appl. 209: 118217 (2022) - [c12]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. COLING 2022: 4585-4592 - [c11]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transfer Attention for Realistic Image Completion. SAI (2) 2022: 340-352 - [i4]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. CoRR abs/2209.05972 (2022) - 2021
- [j2]Juae Kim, Yejin Kim, Sangwoo Kang, Jungyun Seo:
Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts. IEEE Access 9: 80405-80414 (2021) - [c10]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [c9]Yejin Kim, Yekyung Kim:
Learning Sub-Character level representation for Korean Named Entity Recognition. FLAIRS 2021 - [i3]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i2]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [c8]Yejin Kim, Juae Kim, Jungyun Seo:
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER. BigComp 2020: 225-228 - [c7]Yejin Kim, Sungho Yun, Seungryong Cho:
Mask-guided diffusion optical tomography image reconstruction for breast imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171A - [i1]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transform Attention for Realistic Image Inpainting. CoRR abs/2012.04242 (2020)
2010 – 2019
- 2019
- [c6]Sun Jung Lee, Sung Hye Yu, Yejin Kim, Jun Hyuk Hong, Choung-Soo Kim, Seong Il Seo, Chang Wook Jeong, Seok-Soo Byun, Byung Ha Chung, Ji Youl Lee, In Young Choi:
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer. MedInfo 2019: 1506-1507 - 2018
- [c5]Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim:
Self-Adaptive Machine Learning Operating Systems for Security Applications. ICASSP 2018: 6946-6950 - [c4]Sunjun Hwang, Kyeong Seon Kim, Yejin Kim, Junhui Kim, Miji Park, SooHyun Park, Joongheon Kim:
High-dimensional statistical supervised learning for extracting information in steganography. ICOIN 2018: 897-898
2000 – 2009
- 2006
- [c3]Yejin Kim, Hyeon Bae, Kyungmin Poo, Jongrack Kim, Taesup Moon, Sungshin Kim, Changwon Kim:
Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant. ISNN (2) 2006: 1261-1269 - 2005
- [c2]Hyeon Bae, Sungshin Kim, Yejin Kim, Changwon Kim:
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants. Discovery Science 2005: 371-373 - [c1]Hyeon Bae, Sungshin Kim, Yejin Kim:
Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator's Knowledge. FSKD (1) 2005: 833-836 - 2003
- [j1]Hyeon Bae, Sungshin Kim, Man Hyung Lee, Yejin Kim, Chang Won Kim:
Knowledge-based unmanned automation and control systems for the SBR wastewater treatment process. Artif. Life Robotics 7(3): 107-111 (2003)
Coauthor Index
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last updated on 2025-07-07 22:16 CEST by the dblp team
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