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2020 – today
- 2024
[j6]Jeong-Hyun Cho
, Hong-Hyun Bae, Gyu-Wan Lim, Tae-Hwang Kong, Jun-Hyeok Yang, Hyun-Sik Kim:
A Fully Integrated Multi-Phase Voltage Regulator With Flying-Capacitor-Based Inter-Inductor Current Self-Balancing Scheme and Charge-Recycling Gate Driver. IEEE J. Solid State Circuits 59(8): 2529-2544 (2024)- [c39]Hong-Hyun Bae, Jeong-Hyun Cho, Kihyun Kim, Seunghwa Shin, Doojin Jang, Jun-Hyeok Yang, Hyun-Sik Kim:
A 7V/μs-DVS Class-G Digital-Shunt-Aided Buck Voltage Regulator Achieving a 7% Dynamic-Efficiency Drop at a 600kHz DVS Occurrence Frequency in 28nm CMOS. CICC 2024: 1-2 - [c38]Yong-Jin Lee, Woojin Jang, Hong-Hyun Bae, Jeong-Hyun Cho, Hyun-Sik Kim:
14.10 34.7A/mm2 Scalable Distributed All-Digital 6×6 Dot-LDOs Featuring Freely Linkable Current-Sharing Network: A Fine-Grained On-Chip Power Delivery Solution in 28nm CMOS. ISSCC 2024: 272-274 - [c37]Hyunki Han, Jeong-Hyun Cho, Woojin Jang, Yousung Park, Jiho Lee, Hyun-Sik Kim:
28.5 A 94.1%-Efficiency Parallel-SC Hybrid Buck Converter Designed Using VCR-Aware Topology Optimizer for a 4.2A/mm² Current-Density FoM. ISSCC 2024: 464-466 - [c36]Dae-Hyeon Kim, Jeong-Hyun Cho, Hyunki Han, Hyun-Sik Kim:
A 1.8V-Input 0.2-to-1.5V-Output 2.5A 930mA/mm3 Always-Balanced Dual-Path Hybrid Buck Converter with Seamlessly All-VCR-Coverable Tri-Mode Operation. VLSI Technology and Circuits 2024: 1-2 - 2023
- [j5]Ji-Hoon Jeong, Jeong-Hyun Cho, Byeong-Hoo Lee, Seong-Whan Lee:
Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. IEEE Trans. Cybern. 53(12): 7469-7482 (2023) - [c35]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. BCI 2023: 1-5 - [c34]Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin, Seong-Whan Lee:
Towards Brain-based Interface for Communication and Control by Skin Touch. BCI 2023: 1-5 - [c33]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. BCI 2023: 1-4 - [c32]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. BCI 2023: 1-4 - [c31]Hye-Bin Shin, Myoung-Ki Kim, Jeong-Hyun Cho:
Towards Developing Novel and Intuitive Brain-based Control Interface via On-skin Input. BCI 2023: 1-5 - [c30]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. BCI 2023: 1-4 - 2022
- [j4]Jeong-Hyun Cho, Dong-Kyu Kim, Hong-Hyun Bae, Yong-Jin Lee, Seok-Tae Koh, Young-Hwan Choo, Ji-Seon Paek, Hyun-Sik Kim:
A Fully Integrated Multi-Phase Buck Converter With On-Chip Capacitor Dynamic Re-Allocation and Fine-Grained Phase-Shedding Techniques. IEEE J. Solid State Circuits 57(12): 3840-3852 (2022) - [j3]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework. IEEE Trans. Cybern. 52(12): 13279-13292 (2022) - [c29]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. BCI 2022: 1-5 - [c28]Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin:
Recognition of Tactile-related EEG Signals Generated by Self-touch. BCI 2022: 1-4 - [c27]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho, Ji-Hoon Jeong:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. BCI 2022: 1-5 - [c26]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. BCI 2022: 1-5 - [c25]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. ICPR 2022: 1090-1097 - [c24]Jeong-Hyun Cho, Dong-Kyu Kim, Hong-Hyun Bae, Yong-Jin Lee, Seok-Tae Koh, Young-Hwan Choo, Ji-Seon Paek, Hyun-Sik Kim:
A 1.23W/mm2 83.7%-Efficiency 400MHz 6-Phase Fully Integrated Buck Converter in 28nm CMOS with On-Chip Capacitor Dynamic Re-Allocation for Inter-Inductor Current Balancing and Fast DVS of 75mV/ns. ISSCC 2022: 1-3 - [c23]Hyun-Ki Han, Min-Woo Ko, Jeong-Hyun Cho, Gyeong-Gu Kang, Seok-Tae Koh, Hong-Hyun Bae, Hyun-Sik Kim:
A Monolithic 48V-to-1V 10A Quadruple Step-Down DC-DC Converter with Hysteretic Copied On-Time 4-Phase Control and 2× Slew Rate All-Hysteretic Mode. VLSI Technology and Circuits 2022: 182-183 - [c22]Hong-Hyun Bae, Jeong-Hyun Cho, Gyeong-Gu Kang, Yousung Park, Hyun-Sik Kim:
A 97.6%-Efficient 1-2MHz Hysteretic Buck Converter with 7V/μs DVS-Rate Enabled by Isosceles-Triangular Shunt Current Push-Pull Technique. VLSI Technology and Circuits 2022: 194-195 - [c21]Jeong-Hyun Cho, Hong-Hyun Bae, Gyu-Wan Lim, Tae-Hwang Kong, Jun-Hyeok Yang, Hyun-Sik Kim:
A Fully-Integrated 0.9W/mm2 79.1%-Efficiency 200MHz Multi-Phase Buck Converter with Flying-Capacitor-Based Inter-Inductor Current Balancing Technique. VLSI Technology and Circuits 2022: 196-197 - [i14]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. CoRR abs/2206.08494 (2022) - [i13]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. CoRR abs/2211.13366 (2022) - [i12]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. CoRR abs/2212.00723 (2022) - [i11]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. CoRR abs/2212.07083 (2022) - [i10]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. CoRR abs/2212.08122 (2022) - 2021
- [j2]Tae-Gyun Song, Dong-Kyu Kim, Jeong-Hyun Cho, Ji-Hun Lee, Hyun-Sik Kim:
A 50.7-dB-DR Finger-Resistance Extracting Multi-Touch Sensor IC for Soft Classification of Fingers Contacted on 6.7-in Capacitive Touch Screen Panel. IEEE J. Solid State Circuits 56(11): 3470-3485 (2021) - [j1]Kiduk Kim, Ji-Hoon Jeong, Jeong-Hyun Cho, Sunghyun Kim, Jeonggoo Kang, Jeha Ryu, Seong-Whan Lee:
Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications. Sensors 21(2): 592 (2021) - [c20]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. BCI 2021: 1-5 - [c19]Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong:
Classification of Tactile Perception and Attention on Natural Textures from EEG Signals. BCI 2021: 1-5 - [i9]Byoung-Hee Kwon, Jeong-Hyun Cho, Byeong-Hoo Lee:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. CoRR abs/2112.06429 (2021) - [i8]Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin:
Recognition of Tactile-related EEG Signals Generated by Self-touch. CoRR abs/2112.07123 (2021) - [i7]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. CoRR abs/2112.07943 (2021) - [i6]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. CoRR abs/2112.08175 (2021) - 2020
- [c18]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. BCI 2020: 1-4 - [c17]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. EMBC 2020: 3015-3018 - [c16]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. SMC 2020: 2966-2971 - [c15]Tae-Gyun Song, Dong-Kyu Kim, Jeong-Hyun Cho, Ji-Hun Lee, Hyun-Sik Kim:
A 50.7dB-DR Finger-Resistance Extractable Multi-Touch Sensor IC Achieving Finger-Classification Accuracy of 97.7% on 6.7-Inch Capacitive Touch Screen Panel. VLSI Circuits 2020: 1-2 - [i5]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals. CoRR abs/2002.00556 (2020) - [i4]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. CoRR abs/2005.04881 (2020) - [i3]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. CoRR abs/2005.08879 (2020) - [i2]Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong:
Classification of Tactile Perception and Attention on Natural Textures from EEG Signals. CoRR abs/2012.06206 (2020) - [i1]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. CoRR abs/2012.06753 (2020)
2010 – 2019
- 2019
- [c14]Jeong-Hyun Cho, HyunKi Ryu:
Hardware System Performance Enhancement Method in the Design Stage for Automotive Engine Mount Control Module. EEET 2019: 148-151 - [c13]Yong-Deok Yun, Ji-Hoon Jeong, Jeong-Hyun Cho, Dong-Joo Kim, Seong-Whan Lee:
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. EMBC 2019: 3014-3017 - [c12]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of various grasping tasks based on temporal segmentation method using EEG and EMG signals. GBCIC 2019 - 2018
- [c11]Kiduk Kim, Seunghyun Park, Kye-Seok Yoon, Gyeong-Gu Kang, Hyun-Ki Han, Ji-Su Choi, Min-Woo Ko, Jeong-Hyun Cho, Sangjin Lim, Hyung-Min Lee, Hyunsik Kim, Kwyro Lee, Gyu-Hyeong Cho:
A 100mK-NETD 100ms-startup-time 80×60 micro-bolometer CMOS thermal imager integrated with a 0.234mm2 1.89μVrms noise 12b biasing DAC. ISSCC 2018: 192-194 - [c10]Min-Woo Ko, Kiduk Kim, Young-Jin Woo, Se-Un Shin, Hyun-Ki Han, Yeunhee Huh, Gyeong-Gu Kang, Jeong-Hyun Cho, Sang-Jin Lim, Se-Hong Park, Hyung-Min Lee, Gyu-Hyeong Cho:
A 97% high-efficiency 6μs fast-recovery-time buck-based step-up/down converter with embedded 1/2 and 3/2 charge-pumps for li-lon battery management. ISSCC 2018: 428-430 - [c9]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. SMC 2018: 515-518 - 2012
- [c8]Jeong-Hyun Cho, Yong-Do Choi, Sung-Ho Kim:
A Bandwidth Reservation Method for Multicast Streaming Service. ICHIT (1) 2012: 17-24 - 2011
- [c7]Jeong-Hyun Cho, Yong-suk Chang:
The Guaranteed QoS for Time-Sensitive Traffic in High-Bandwidth EPON. FGIT-MulGraB (2) 2011: 181-190 - 2010
- [c6]Kyung-Seok Park, Zhibin Yu, Jeong-Hyun Cho, Sung-Ho Kim:
An Intra-ONU Scheduling Method in 10G EPON Supporting IEEE 802.1 AVB. CISIS 2010: 631-636
2000 – 2009
- 2008
- [c5]Kyung-Seok Park, Min-Jun Kim, Jeong-Hyun Cho, Sung-Ho Kim:
Search Range Selection Method to Reduce the Complexity in H.264. ALPIT 2008: 230-234 - 2007
- [c4]Kyung-Suek Park, Jeong-Hyun Cho, Jae-Hyung Ko, Sung-Ho Kim:
A Viewpoint Switching Method for Multiview Videos Using the MPEG-4 System. ALPIT 2007: 287-292 - [c3]Jun-Cheol Lee, Sang-Ryul Ryu, Se-Yul Lee, Jeong-Hyun Cho, Sung-Ho Kim:
A Method of Object Recognition which Applicable to the Real-Time Processing Using Adaptive Factors. MUE 2007: 686-691 - 2004
- [c2]Jong-Un Yang, Jeong-Hyun Cho, Sang-Hyun Bae, In-Ho Ra:
A TCP-Friendly Congestion Control Scheme Using Hybrid Approach for Reducing Transmission Delay of Real-Time Video Stream. ICCSA (4) 2004: 359-368 - [c1]Jeong-Hyun Cho, Chang-Gyu Choi, Yongseok Chang, Sung-Ho Kim:
Representation of Clipart Image Using Shape and Color with Spatial Relationship. PCM (1) 2004: 165-173
Coauthor Index
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