Yejin Kim

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Benchmark for Antibody Binding Affinity Maturation and Design.
CoRR, June, 2025

Understanding the behavior of representation forgetting in continual learning.
CoRR, May, 2025

Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model.
CoRR, April, 2025

Shape-preserving subdivision scheme with the third-order accuracy and C2 smoothness.
Math. Comput. Simul., 2025

SynCSE: syntax graph-based contrastive learning of sentence embeddings.
Expert Syst. Appl., 2025

Utilization of a hierarchical electrocardiogram classification model for enhanced biometric identification.
Comput. Biol. Medicine, 2025

Predicting Movie Hits Before They Happen with LLMs.
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

2024
Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea.
Remote. Sens., March, 2024

Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations.
Cogn. Comput., March, 2024

Effects of NiO doping and trench wall tilt on Ga2O3 PiN diodes performance.
Microelectron. J., 2024

Multi-attention recommender system for non-fungible tokens.
Eng. Appl. Artif. Intell., 2024

Linq-Embed-Mistral Technical Report.
CoRR, 2024

Causal Reasoning in Large Language Models: A Knowledge Graph Approach.
CoRR, 2024

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning.
CoRR, 2024

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks.
CoRR, 2024

A Recommender System for NFT Collectibles with Item Feature.
CoRR, 2024

A Temporal Graph Network Framework for Dynamic Recommendation.
CoRR, 2024

Physics-Informed Time-Frequency Fusion Network With Attention for Noise-Robust Bearing Fault Diagnosis.
IEEE Access, 2024

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Prompts have evil twins.
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

Machine learning Model, predicting South Korea precipitation.
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
Visualization with Prediction Scheme for Early DDoS Detection in Ethereum.
Sensors, December, 2023

Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis.
Sensors, December, 2023

An operator splitting method for multi-asset options with the Feynman-Kac formula.
Comput. Math. Appl., April, 2023

PROPANE: Prompt design as an inverse problem.
CoRR, 2023

NFTs to MARS: Multi-Attention Recommender System for NFTs.
CoRR, 2023

One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System.
IEEE Access, 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
Weakly labeled data augmentation for social media named entity recognition.
Expert Syst. Appl., 2022

Classification of igneous rocks from petrographic thin section images using convolutional neural network.
Earth Sci. Informatics, 2022

An accurate and stable numerical method for option hedge parameters.
Appl. Math. Comput., 2022

Texture Transfer Attention for Realistic Image Completion.
Proceedings of the Intelligent Computing, 2022

Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Scalable Causal Structure Learning: New Opportunities in Biomedicine.
CoRR, 2021

Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark.
CoRR, 2021

Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts.
IEEE Access, 2021

Learning Sub-Character level representation for Korean Named Entity Recognition.
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
Texture Transform Attention for Realistic Image Inpainting.
CoRR, 2020

Mask-guided diffusion optical tomography image reconstruction for breast imaging.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 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

Self-Adaptive Machine Learning Operating Systems for Security Applications.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2006
Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant.
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


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