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Junhyuk Choi
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2020 – today
- 2024
- [j3]Junhyuk Choi
, Dohyeon Kong, Hyunbo Cho:
Weighted Domain Adaptation Using the Graph-Structured Dataset Representation for Machinery Fault Diagnosis under Varying Operating Conditions. Sensors 24(1): 188 (2024) - [c14]Junpyo Kim
A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer. ASPLOS (2) 2024: 1-19 - [c13]Junhyuk Choi, Ilkwon Byun, Juwon Hong, Dongmoon Min, Junpyo Kim, Jungmin Cho, Hyeonseong Jeong, Masamitsu Tanaka, Koji Inoue, Jangwoo Kim:
SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications. MICRO 2024: 1532-1547 - [i2]Junhyuk Choi, Yeseon Hong, Bugeun Kim:
People will agree what I think: Investigating LLM's False Consensus Effect. CoRR abs/2407.12007 (2024) - [i1]Junhyuk Choi, Yeseon Hong, Minju Kim, Bugeun Kim:
Does chat change LLM's mind? Impact of Conversation on Psychological States of LLMs. CoRR abs/2412.00804 (2024) - 2023
- [c12]Dongmoon Min
QIsim: Architecting 10+K Qubit QC Interfaces Toward Quantum Supremacy. ISCA 2023: 1:1-1:16 - 2021
- [c11]Keun-Tae Kim, Junhyuk Choi, Hyungmin Kim, Song Joo Lee:
Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs. BCI 2021: 1-3 - 2020
- [j2]Junhyuk Choi, Keun-Tae Kim
Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. Sensors 20(24): 7309 (2020) - [c10]Junhyuk Choi, Keun-Tae Kim, Jaehyung Lee, Song Joo Lee, Hyungmin Kim:
Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. BCI 2020: 1-3
2010 – 2019
- 2019
- [c9]Junhyuk Choi, Hyungmin Kim:
Real-time Decoding of EEG Gait Intention for Controlling a Lower-limb Exoskeleton System. BCI 2019: 1-3 - [c8]Jaehyung Lee, Kabmun Cha, Hyungmin Kim, Junhyuk Choi, Choong Hyun Kim, Song-Joo Lee:
Hybrid MI-SSSEP Paradigm for classifying left and right movement toward BCI for exoskeleton control. BCI 2019: 1-3 - [c7]Sangwoo Park, Frank C. Park, Junhyuk Choi, Hyungmin Kim:
EEG-based Gait State and Gait Intention Recognition Using Spatio-Spectral Convolutional Neural Network. BCI 2019: 1-3 - [c6]Bongjun Ji, Farhad Ameri, Junhyuk Choi, Hyunbo Cho:
Hybrid Approach Using Ontology-Supported Case-Based Reasoning and Machine Learning for Defect Rate Prediction. APMS (1) 2019: 291-298 - 2018
- [c5]Junhyuk Choi, Song Joo Lee, Seung-Jong Kim, Jong Min Lee, Hyungmin Kim:
Detecting voluntary gait initiation/termination intention using EEG. BCI 2018: 1-3 - 2017
- [c4]Hyunseop Park, Bongjun Ji, Minchul Lee, Junhyuk Choi, Jeesu Lee, Seunghwan Bang, Hyunbo Cho:
Conceptual Development Process of Mass-customizable Data Analytics Services for Manufacturing SMEs. APMS (1) 2017: 194-201 - 2016
- [c3]Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim:
Detecting voluntary gait intention of chronic stroke patients towards top-down gait rehabilitation using EEG. EMBC 2016: 1560-1563
2000 – 2009
- 2006
- [j1]Chang-Woo Park, Junhyuk Choi, Ha-Gyeong Sung:
Indirect Adaptive Regulator Design Based on TSK Fuzzy Models. Int. J. Fuzzy Log. Intell. Syst. 6(1): 52-57 (2006) - 2004
- [c2]Junhyuk Choi, Chang-Woo Park, Sehyun Rhyu, Ha-Gyeong Sung:
Development and control of BLDC Motor using fuzzy models. RAM 2004: 1180-1185 - [c1]Chang-Woo Park, Young-Wan Cho, Junhyuk Choi, Ha-Gyeong Sung:
Rough Set Based Fuzzy Modeling by Occupancy Degree and Optimal Partition of Projection. Rough Sets and Current Trends in Computing 2004: 316-326
Coauthor Index
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