Yejin Kim
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yejin Kim 001 (University of Texas Health Science Center at Houston, Houston, TX, USA)
- Yejin Kim 002 (Hongik University, School of Games, Sejong, South Korea)
- Yejin Kim 003 (Allen Institute for AI (AI2), Seattle, WA, USA)
- Yejin Kim 004 (Gachon University, Korea)
- Yejin Kim 005 (George Washington University, Washington DC, USA)
- Yejin Kim 006 (Yonsei University, Seoul, Korea)
- Yejin Kim 007 (Pusan National University, Busan, Korea)
- Yejin Kim 008 (Handong Global University, Pohang, Korea)
- Yejin Kim 009 (Sookmyung Women's University, Yongsan-gu, Seoul, Korea)
- Yejin Kim 010 (Ulsan National Institute of Science and Technology, Korea)
- Yejin Kim 011 (Case Western Reserve University, Cleveland, OK, USA)
- Yejin Kim 012 (University of Washington, Seattle, WA, USA)
Bibliography
2026
Who Defines "Best"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards.
CoRR, April, 2026
KSII Trans. Internet Inf. Syst., March, 2026
Smart Parenting, Smarter Planet: Designing Human-Centered IoT Solutions for Eco-Friendly Motherhood.
Int. J. Hum. Comput. Interact., March, 2026
Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data.
CoRR, March, 2026
CoRR, March, 2026
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
2025
CoRR, December, 2025
From Time and Place to Preference: LLM-Driven Geo-Temporal Context in Recommendations.
CoRR, October, 2025
FinAI Data Assistant: LLM-based Financial Database Query Processing with the OpenAI Function Calling API.
CoRR, October, 2025
CoRR, October, 2025
CoRR, May, 2025
Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model.
CoRR, April, 2025
An Integrated Optimization for Resilient Wildfire Evacuation System Design: A Case Study of a Rural County in Korea.
Syst., 2025
Math. Comput. Simul., 2025
Adaptive and Bayesian Inverse Temperature Schedules for Quantum Metropolis Protein Folding.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Instinctual-TF: Feel Free to Manipulate Transfer Function in Mixed Reality Environments.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2025
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
Microelectron. J., 2024
Eng. Appl. Artif. Intell., 2024
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning.
CoRR, 2024
CoRR, 2024
Physics-Informed Time-Frequency Fusion Network With Attention for Noise-Robust Bearing Fault Diagnosis.
IEEE Access, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Relationship between short-term ozone exposure, cause-specific mortality, and high-risk populations: A nationwide, time-stratified, case-crossover study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
Comput. Math. Appl., April, 2023
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports?
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
2022
Proceedings of the Intelligent Computing, 2022
2021
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark.
CoRR, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
High-dimensional statistical supervised learning for extracting information in steganography.
Proceedings of the 2018 International Conference on Information Networking, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator's Knowledge.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants.
Proceedings of the Discovery Science, 8th International Conference, 2005
2003
Knowledge-based unmanned automation and control systems for the SBR wastewater treatment process.
Artif. Life Robotics, 2003