Jang-Hyun 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
Detecting Bitcoin Sentiment: Leveraging Language Model Applications in Sentiment Analysis for Bitcoin Price Prediction.
Neural Process. Lett., October, 2025

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction.
CoRR, May, 2025

ESG-KIBERT: A new paradigm in ESG evaluation using NLP and industry-specific customization.
Decis. Support Syst., 2025

Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions.
IEEE Access, 2025

User Satisfaction Forecasting in Game-Based Educational Technology through Transformer Models.
Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication, 2025

A Synthesizable Thyristor-Like Leakage-Based True Random Number Generator.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction.
PeerJ Comput. Sci., 2024

Targeted Cause Discovery with Data-Driven Learning.
CoRR, 2024

Improvement of Thermal Characteristics and On-Current in Vertically Stacked Nanosheet FET by Parasitic Channel Height Engineering.
IEEE Access, 2024

Compressed Context Memory for Online Language Model Interaction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Comparing Social Media and News Articles on Climate Change: Different Viewpoints Revealed.
KSII Trans. Internet Inf. Syst., 2023

Robust Sentiment Classification of Metaverse Services Using a Pre-trained Language Model with Soft Voting.
KSII Trans. Internet Inf. Syst., 2023

Neural Relation Graph for Identifying Problematic Data.
CoRR, 2023

Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
spherepc: An R Package for Dimension Reduction on a Sphere.
R J., 2022

Dataset Condensation via Efficient Synthetic-Data Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

2021
Spherical Principal Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Optimization of spacer and source/channel junction to improve TFET characteristics.
IEICE Electron. Express, 2020

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Phase-Aware Speech Enhancement with Deep Complex U-Net.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.
CoRR, 2018

2013
Design of morphological changing all-terrain-rover for enhancing mobility.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

2006
Implementation of the Avoidance Algorithm for Autonomous Mobile Robots Using Fuzzy Rules.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

2005
Generation of Fuzzy Rules and Learning Algorithms for Cooperative Behavior of Autonomouse Mobile Robots(AMRs).
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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