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Byonghyo Shim
Person information
- affiliation: Seoul National University, South Korea
- affiliation (2007 - 2014): Korea University, Seoul, South Korea
- affiliation (2005 - 2007): Qualcomm
- affiliation (PhD 2005): University of Illinois at Urbana-Champaign, IL, USA
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2020 – today
- 2025
- [j120]Seungnyun Kim
, Jiao Wu
, Byonghyo Shim
, Moe Z. Win
:
Cell-Free Massive Non-Terrestrial Networks. IEEE J. Sel. Areas Commun. 43(1): 201-217 (2025) - 2024
- [j119]Seungnyun Kim
, Jihoon Moon
, Jiao Wu
, Byonghyo Shim
, Moe Z. Win
:
Vision-Aided Positioning and Beam Focusing for 6G Terahertz Communications. IEEE J. Sel. Areas Commun. 42(9): 2503-2519 (2024) - [j118]Hyunsoo Kim
, Seungnyun Kim
, Jiao Wu
, Byonghyo Shim
:
Transformer-Based RIS Phase Shift Control for Ultra-Low Latency V2X Systems. IEEE Trans. Cogn. Commun. Netw. 10(4): 1414-1429 (2024) - [j117]Jinhong Kim
, Yongjun Ahn
, Seungnyun Kim
, Byonghyo Shim
:
Deep Learning-Aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems. IEEE Trans. Cogn. Commun. Netw. 10(6): 2136-2148 (2024) - [j116]Yongjun Ahn
, Jinhong Kim
, Seungnyun Kim
, Sunwoo Kim
, Byonghyo Shim
:
Sensing and Computer Vision-Aided Mobility Management for 6G Millimeter and Terahertz Communication Systems. IEEE Trans. Commun. 72(10): 6044-6058 (2024) - [j115]Yan Li
, Yunquan Dong
, Jian Wang
, Byonghyo Shim
:
On-Time Communications Over Fading Channels. IEEE Trans. Veh. Technol. 73(1): 605-619 (2024) - [j114]Seungnyun Kim
, Jiao Wu
, Byonghyo Shim
:
Efficient Channel Probing and Phase Shift Control for mmWave Reconfigurable Intelligent Surface-Aided Communications. IEEE Trans. Wirel. Commun. 23(1): 231-246 (2024) - [j113]Seungnyun Kim
, Jungjae Park
, Jihoon Moon
, Byonghyo Shim
:
Fast and Accurate Terahertz Beam Management via Frequency-Dependent Beamforming. IEEE Trans. Wirel. Commun. 23(3): 1699-1712 (2024) - [j112]Xiaochun Ge
, Shanping Yu
, Wenqian Shen
, Chengwen Xing
, Byonghyo Shim
:
Beamforming Design With Partial Channel Estimation and Feedback for FDD RIS-Assisted Systems. IEEE Trans. Wirel. Commun. 23(6): 6347-6361 (2024) - [j111]Hyungyu Ju
, Seokhyun Jeong
, Seungnyun Kim
, Byungju Lee
, Byonghyo Shim
:
Transformer-Assisted Parametric CSI Feedback for mmWave Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23(12): 18774-18787 (2024) - [j110]Seungnyun Kim
, Jihoon Moon, Jinhong Kim, Yongjun Ahn, Donghoon Kim, Sunwoo Kim, Kyuhong Shim, Byonghyo Shim:
Role of Sensing and Computer Vision in 6G Wireless Communications. IEEE Wirel. Commun. 31(5): 264-271 (2024) - [c150]Jiyoung Kim, Kyuhong Shim
, Insu Lee, Byonghyo Shim:
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization. AAAI 2024: 2768-2776 - [c149]Jihoon Moon, Khoa Anh Ngo, Byonghyo Shim:
Channel Prediction in Vehicular-to-Everything (V2X) Networks Using Image Sensing and Computer Vision. APWCS 2024: 1-5 - [c148]Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. EMNLP (Findings) 2024: 797-819 - [c147]Sunwoo Kim, Yongjun Ahn, Byonghyo Shim:
Computer Vision-Aided Beamforming for 6G Wireless Communications: Dataset and Training Perspective. ICC 2024: 672-677 - [c146]Khoa Anh Ngo, Jihoon Moon, Seungnyun Kim
, Byonghyo Shim:
Multi-User Identification and 3D Positioning Using Multi-View Images via Contrastive Learning. ICC Workshops 2024: 1553-1558 - [c145]Sangmok Shin, Jihoon Moon, Seungnyun Kim
, Byonghyo Shim:
Subarray-Based Near-Field Beam Training for 6G Terahertz Communications. ICC 2024: 3189-3194 - [c144]Jihoon Moon, Byonghyo Shim:
Sensing-Based Channel Estimation in 6G mmWave Ultra-Dense Networks. ICTC 2024: 1484-1487 - [c143]Hyunsoo Kim, Seokhyun Jeong, Byonghyo Shim:
Large Multi-Modality Model-Based V2X Communications. ICTC 2024: 1909-1912 - [c142]Jinwoo Son, Hyunsoo Kim, Taeyup Roh, Byonghyo Shim:
Object Detection-Based Beam Management for Multiuser MIMO Communications. ICTC 2024: 1948-1949 - [c141]Hyungyu Ju, Seokhyun Jeong, Byungju Lee, Byonghyo Shim:
Transformer-based Predictive Channel Estimation for mmWave Massive MIMO Systems. VTC Fall 2024: 1-5 - [c140]Hyunsoo Kim, Seokhyun Jeong, Byonghyo Shim:
Task-oriented V2X Communications using Large Multi-modality Model. VTC Fall 2024: 1-5 - [c139]Hyunsoo Kim, Taeyup Roh, Byonghyo Shim:
Multi-modal Sensing-aided Beam Management for 6G Communication Systems. VTC Fall 2024: 1-5 - [c138]Jihoon Moon, Khoa Anh Ngo, Byonghyo Shim:
Sensing-aided Multi-modal Channel Prediction in 6G mmWave Massive MIMO Systems. VTC Fall 2024: 1-5 - [c137]Khoa Anh Ngo, Jihoon Moon, Byonghyo Shim:
Computer Vision-Based Cell Association for mmWave/THz Ultra-Dense Networks. VTC Spring 2024: 1-5 - [c136]Jinwoo Son, Inkook Keum, Hyunsoo Kim, Hyung Joon Cho, Byonghyo Shim:
Transformer-Based Environment-Aware Localization in the NLoS Scenarios. WCNC 2024: 1-6 - [i46]Yongjeong Oh, Jaehong Jo, Byonghyo Shim, Yo-Seb Jeon:
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication. CoRR abs/2403.07255 (2024) - [i45]Seungnyun Kim, Jihoon Moon, Jinhong Kim, Yongjun Ahn, Donghoon Kim, Sunwoo Kim, Kyuhong Shim
, Byonghyo Shim:
Role of Sensing and Computer Vision in 6G Wireless Communications. CoRR abs/2405.03945 (2024) - [i44]Sunwoo Kim, Yongjun Ahn, Daeyoung Park, Byonghyo Shim:
VOMTC: Vision Objects for Millimeter and Terahertz Communications. CoRR abs/2409.09330 (2024) - [i43]Hyungyu Ju, Seokhyun Jeong, Seungnyun Kim, Byungju Lee, Byonghyo Shim:
Transformer-assisted Parametric CSI Feedback for mmWave Massive MIMO Systems. CoRR abs/2410.06504 (2024) - [i42]Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. CoRR abs/2411.00029 (2024) - 2023
- [j109]Junseon Kim, Byonghyo Shim
, Kyunghan Lee
:
Toward Enabling Performance-Guaranteed Networking in Next-Generation Cellular Networks. IEEE Commun. Mag. 61(1): 32-38 (2023) - [j108]Wonjun Kim, Yongjun Ahn, Jinhong Kim, Byonghyo Shim:
Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G. J. Commun. Networks 25(1): 61-75 (2023) - [j107]Howon Lee, Byungju Lee
, Heecheol Yang, Junghyun Kim, Seungnyun Kim
, Wonjae Shin, Byonghyo Shim, H. Vincent Poor:
Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies. J. Commun. Networks 25(3): 344-354 (2023) - [j106]Jiao Wu
, Seungnyun Kim
, Byonghyo Shim
:
Parametric Sparse Channel Estimation for RIS-Assisted Terahertz Systems. IEEE Trans. Commun. 71(9): 5503-5518 (2023) - [j105]Jihoon Moon
, Seungnyun Kim
, Hyungyu Ju
, Byonghyo Shim
:
Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Green Commun. Netw. 7(2): 692-706 (2023) - [j104]Jinhong Kim, Yongjun Ahn
, Byonghyo Shim
:
Massive Data Generation for Deep Learning-Aided Wireless Systems Using Meta Learning and Generative Adversarial Network. IEEE Trans. Veh. Technol. 72(1): 1302-1306 (2023) - [j103]Yongsuk Byun
, Hyunsoo Kim, Seungnyun Kim
, Byonghyo Shim
:
Channel Estimation and Phase Shift Control for UAV-Carried RIS Communication Systems. IEEE Trans. Veh. Technol. 72(10): 13695-13700 (2023) - [j102]Seungnyun Kim
, Anho Lee, Hyungyu Ju
, Khoa Anh Ngo, Jihoon Moon
, Byonghyo Shim
:
Transformer-Based Channel Parameter Acquisition for Terahertz Ultra-Massive MIMO Systems. IEEE Trans. Veh. Technol. 72(11): 15127-15132 (2023) - [j101]Yongjun Ahn, Jinhong Kim, Seungnyun Kim
, Kyuhong Shim
, Jiyoung Kim, Sangtae Kim, Byonghyo Shim
:
Toward Intelligent Millimeter and Terahertz Communication for 6G: Computer Vision-Aided Beamforming. IEEE Wirel. Commun. 30(5): 179-186 (2023) - [c135]Sangtae Kim, Daeyoung Park, Byonghyo Shim:
Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation. AAAI 2023: 1142-1150 - [c134]Hyunsoo Kim, Geon-Woong Jung, Byonghyo Shim:
Attention-based Phase Shift Control for Multi-RIS-aided Systems. APWCS 2023: 1-5 - [c133]Seokhyun Jeong, Hyungyu Ju, Sunwoo Kim, Byonghyo Shim:
Automated Environment-Aware Channel Feedback for 6G Massive MIMO Systems. GLOBECOM (Workshops) 2023: 44-49 - [c132]Yongjun Ahn, Jinhong Kim, Sunwoo Kim, Byonghyo Shim:
Computer Vision-Aided Proactive Mobility Management for 6G Terahertz Communications. GLOBECOM 2023: 1513-1518 - [c131]Seungnyun Kim
, Jiao Wu, Jihoon Moon, Byonghyo Shim:
Frequency-Dependent Precoding for Wideband Terahertz Communication Systems. GLOBECOM 2023: 5787-5792 - [c130]Yiying Liu, Jiao Wu, Seungnyun Kim
, Byonghyo Shim:
Vision-Aided Blockage Prediction and Proactive Handover for Indoor mmWave and Terahertz Communications. GLOBECOM 2023: 7411-7416 - [c129]Jiseob Kim, Kyuhong Shim
, Junhan Kim, Byonghyo Shim:
Vision Transformer-Based Feature Extraction for Generalized Zero-Shot Learning. ICASSP 2023: 1-5 - [c128]Sunwoo Kim, Kyuhong Shim
, Luong Trung Nguyen, Byonghyo Shim:
Semantic-Preserving Augmentation for Robust Image-Text Retrieval. ICASSP 2023: 1-5 - [c127]Khoa Anh Ngo, Kyuhong Shim
, Byonghyo Shim:
Spatial Cross-Attention for Transformer-Based Image Captioning. ICASSP 2023: 1-5 - [c126]Hyungyu Ju, Seokhyun Jeong, Seungnyun Kim
, Byonghyo Shim:
Transformer-Aided Parametric CSI Feedback for mmWave Massive MIMO Systems. ICC 2023: 3596-3601 - [c125]Yongjun Ahn, Inkook Keum, Jinwoo Son, Byonghyo Shim:
Deep Learning-based Localization Using Spatial Information in the NLoS Scenarios. ICTC 2023: 241-244 - [c124]Seungnyun Kim
, Jiao Wu, Jihoon Moon, Byonghyo Shim:
Sparse Channel Feedback for Energy-Efficient mmWave Massive MIMO Systems. ICTC 2023: 1118-1121 - [c123]Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim:
Depth-Relative Self Attention for Monocular Depth Estimation. IJCAI 2023: 1396-1404 - [c122]Yiying Liu, Jiao Wu, Seungnyun Kim
, Byonghyo Shim:
Distance-Aware Subarray Selection for Terahertz Ultra-Massive MIMO Systems. VTC2023-Spring 2023: 1-5 - [c121]Jiao Wu, Byonghyo Shim:
Frequency-Dependent Beamforming for RIS-Assisted Wideband Terahertz Systems. VTC2023-Spring 2023: 1-6 - [c120]Seungnyun Kim
, Jiao Wu, Byonghyo Shim:
Path-Selective Precoding for FDD-based Massive MIMO Systems. WCNC 2023: 1-6 - [i41]Howon Lee, Byungju Lee, Heecheol Yang, Junghyun Kim, Seungnyun Kim, Wonjae Shin, Byonghyo Shim, H. Vincent Poor:
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies. CoRR abs/2301.11111 (2023) - [i40]Jiseob Kim, Kyuhong Shim
, Junhan Kim, Byonghyo Shim:
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning. CoRR abs/2302.00875 (2023) - [i39]Sunwoo Kim, Kyuhong Shim
, Luong Trung Nguyen, Byonghyo Shim:
Semantic-Preserving Augmentation for Robust Image-Text Retrieval. CoRR abs/2303.05692 (2023) - [i38]Kyuhong Shim
, Jiyoung Kim, Gusang Lee, Byonghyo Shim:
Depth-Relative Self Attention for Monocular Depth Estimation. CoRR abs/2304.12849 (2023) - [i37]Jiyoung Kim, Kyuhong Shim
, Insu Lee, Byonghyo Shim:
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization. CoRR abs/2312.07342 (2023) - 2022
- [j100]Kyungjoo Suh
, Sunwoo Kim
, Yongjun Ahn
, Seungnyun Kim
, Hyungyu Ju
, Byonghyo Shim
:
Deep Reinforcement Learning-Based Network Slicing for Beyond 5G. IEEE Access 10: 7384-7395 (2022) - [j99]Sangtae Kim
, Luong Trung Nguyen
, Kyuhong Shim
, Junhan Kim
, Byonghyo Shim
:
Pseudo-Label-Free Weakly Supervised Semantic Segmentation Using Image Masking. IEEE Access 10: 19401-19411 (2022) - [j98]Dawei Chen
, Shuo Shi
, Xuemai Gu
, Byonghyo Shim
:
Robust DoA Estimation Using Denoising Autoencoder and Deep Neural Networks. IEEE Access 10: 52551-52564 (2022) - [j97]Xuewan Zhang
, Di Zhang
, Byonghyo Shim
, Gangtao Han
, Dalong Zhang, Takuro Sato:
Sparse Superimposed Coding for Short-Packet URLLC. IEEE Internet Things J. 9(7): 5275-5289 (2022) - [j96]Yongjun Ahn
, Wonjun Kim
, Byonghyo Shim
:
Active User Detection and Channel Estimation for Massive Machine-Type Communication: Deep Learning Approach. IEEE Internet Things J. 9(14): 11904-11917 (2022) - [j95]Een-Kee Hong, Inkyu Lee, Byonghyo Shim, Young-Chai Ko, Sang-Hyo Kim, Sangheon Pack, Kyunghan Lee
, Sunwoo Kim, Jae-Hyun Kim, Yoan Shin, Younghan Kim, Haejoon Jung:
6G R&D vision: Requirements and candidate technologies. J. Commun. Networks 24(2): 232-245 (2022) - [j94]Ruoyu Zhang
, Byonghyo Shim
, Wen Wu
:
Direction-of-Arrival Estimation for Large Antenna Arrays With Hybrid Analog and Digital Architectures. IEEE Trans. Signal Process. 70: 72-88 (2022) - [j93]Ruoyu Zhang
, Byonghyo Shim
, Weijie Yuan
, Marco Di Renzo
, Xiaoyu Dang, Wen Wu
:
Integrated Sensing and Communication Waveform Design With Sparse Vector Coding: Low Sidelobes and Ultra Reliability. IEEE Trans. Veh. Technol. 71(4): 4489-4494 (2022) - [j92]Hyungyu Ju
, Seungnyun Kim
, Youngjoon Kim, Byonghyo Shim
:
Energy-Efficient Ultra-Dense Network With Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 21(8): 6539-6552 (2022) - [j91]Jiao Wu
, Seungnyun Kim
, Byonghyo Shim
:
Energy-Efficient Power Control and Beamforming for Reconfigurable Intelligent Surface-Aided Uplink IoT Networks. IEEE Trans. Wirel. Commun. 21(12): 10162-10176 (2022) - [j90]Wonjun Kim
, Byonghyo Shim
:
Partial Sample Transmission and Deep Neural Decoding for URLLC V2X System. IEEE Trans. Wirel. Commun. 21(12): 10755-10765 (2022) - [j89]Seokhyeon Choi
, Kyuhong Shim
, Jungwook Choi, Wonyong Sung, Byonghyo Shim
:
Optimization of General Matrix Multiply Library for Ternary Weight for Fast DNN Inference. J. Signal Process. Syst. 94(10): 929-943 (2022) - [c119]Junhan Kim, Kyuhong Shim, Byonghyo Shim:
Semantic Feature Extraction for Generalized Zero-Shot Learning. AAAI 2022: 1166-1173 - [c118]Seungnyun Kim
, Jiao Wu, Ahnho Lee, Yiying Liu, Yongseok Byun, Byonghyo Shim
:
Covariance-Based Time-Frequency ESPRIT Algorithm for Direction-of-Arrival Estimation. APCC 2022: 323-326 - [c117]Jinwoo Son, Inkook Keum, Yongjun Ahn, Byonghyo Shim
:
D-TLoc: Deep Learning-aided Hybrid TDoA/AoA-based Localization. APWCS 2022: 47-50 - [c116]Jihoon Moon, Byonghyo Shim
:
LSTM-based Beam Tracking Using Computer Vision. APWCS 2022: 66-69 - [c115]Hyungyu Ju, Byonghyo Shim
:
Energy-Efficient Multi-UAV Network using Multi-Agent Deep Reinforcement Learning. APWCS 2022: 70-74 - [c114]Sunwoo Kim, Byonghyo Shim
:
Network Slicing using Deep Reinforcement Learning for Beyond 5G and 6G Systems. APWCS 2022: 90-93 - [c113]Yunseo Nam, Byonghyo Shim
:
Sparse Superposition Modulation for SIMO ISI Channels with One-Bit ADCs. APWCS 2022: 137-139 - [c112]Yunseo Nam, Yo-Seb Jeon, Byonghyo Shim:
Sparse Vector Codes for MIMO ISI Channels with Low-Resolution ADCs. GLOBECOM 2022: 2529-2535 - [c111]Sunwoo Kim, Seungnyun Kim
, Kyungjoo Suh, Byonghyo Shim:
Action Elimination-assisted Deep Reinforcement Learning for B5G Cell Selection and Network Slicing. GLOBECOM 2022: 3653-3657 - [c110]Jiao Wu, Seungnyun Kim
, Byonghyo Shim:
Near-Field Channel Estimation for RIS-Assisted Wideband Terahertz Systems. GLOBECOM 2022: 3893-3898 - [c109]Anho Lee, Hyungyu Ju, Seungnyun Kim
, Byonghyo Shim:
Intelligent Near-Field Channel Estimation for Terahertz Ultra-Massive MIMO Systems. GLOBECOM 2022: 5390-5395 - [c108]Seungnyun Kim
, Byonghyo Shim:
Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications. GLOBECOM 2022: 5396-5401 - [c107]Junhan Kim, Byonghyo Shim
:
Generalized Zero-Shot Learning Using Conditional Wasserstein Autoencoder. ICASSP 2022: 3413-3417 - [c106]Jungjae Park, Seungnyun Kim
, Jihoon Moon, Byonghyo Shim
:
Fast Terahertz Beam Training Via Frequency-dependent Precoding. ICC Workshops 2022: 1153-1158 - [c105]Jinhong Kim, Yongjun Ahn, Seungnyun Kim
, Byonghyo Shim
:
Parametric Sparse Channel Estimation Using Long Short-Term Memory for mmWave Massive MIMO Systems. ICC 2022: 1397-1402 - [c104]Seungnyun Kim
, Byonghyo Shim
:
Joint DoA and TDoA Estimation for mmWave Communications Using Zadoff-Chu Sequence. ICTC 2022: 1210-1212 - [c103]Yongjun Ahn, Jinhong Kim, Byonghyo Shim
:
On the Design Principles for Deep Learning-based Wireless Data Collection and Channel Estimation. ICTC 2022: 1216-1218 - [c102]Hyunsoo Kim, Yongsuk Byun, Byonghyo Shim:
LSTM-based RIS Phase Shift Control for V2X Communication Systems. VTC Fall 2022: 1-5 - [i36]Yan Li, Yunquan Dong, Byonghyo Shim:
On-Time Communications Over Fading Channels. CoRR abs/2202.08646 (2022) - [i35]Jiao Wu, Seungnyun Kim, Byonghyo Shim:
Energy-Efficient Power Control and Beamforming for Reconfigurable Intelligent Surface-Aided Uplink IoT Networks. CoRR abs/2203.09090 (2022) - [i34]Jinhong Kim, Yongjun Ahn, Byonghyo Shim
:
Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network. CoRR abs/2208.11910 (2022) - 2021
- [j88]Seungnyun Kim
, Byonghyo Shim
:
Energy-Efficient Millimeter-Wave Cell-Free Systems Under Limited Feedback. IEEE Trans. Commun. 69(6): 4067-4082 (2021) - [j87]Sun Hong Lim
, Sunwoo Kim
, Byonghyo Shim
, Jun Won Choi
:
Deep Learning-Based Beam Tracking for Millimeter-Wave Communications Under Mobility. IEEE Trans. Commun. 69(11): 7458-7469 (2021) - [j86]Junhan Kim
, Jian Wang
, Byonghyo Shim
:
Optimal Restricted Isometry Condition of Normalized Sampling Matrices for Exact Sparse Recovery With Orthogonal Least Squares. IEEE Trans. Signal Process. 69: 1521-1536 (2021) - [j85]Luong Trung Nguyen
, Junhan Kim
, Byonghyo Shim
:
Gradual Federated Learning With Simulated Annealing. IEEE Trans. Signal Process. 69: 6299-6313 (2021) - [j84]Ruoyu Zhang
, Byonghyo Shim
, Yi Lou
, Shaobo Jia
, Wen Wu
:
Sparse Vector Coding Aided Ultra-Reliable and Low-Latency Communications in Multi-User Massive MIMO Systems. IEEE Trans. Veh. Technol. 70(1): 1019-1024 (2021) - [j83]Dawei Chen
, Shuo Shi
, Xuemai Gu
, Byonghyo Shim
:
Weak Signal Frequency Detection Using Chaos Theory: A Comprehensive Analysis. IEEE Trans. Veh. Technol. 70(9): 8950-8963 (2021) - [j82]Seungnyun Kim
, Junwon Son, Byonghyo Shim
:
Energy-Efficient Ultra-Dense Network Using LSTM-based Deep Neural Networks. IEEE Trans. Wirel. Commun. 20(7): 4702-4715 (2021) - [j81]Namik Kim
, Dongwoo Kim
, Byonghyo Shim
, Kwang Bok Lee
:
Deep Learning-Based Spreading Sequence Design and Active User Detection for Massive Machine-Type Communications. IEEE Wirel. Commun. Lett. 10(8): 1618-1622 (2021) - [j80]Sunwoo Kim
, Luong Trung Nguyen
, Junhan Kim
, Byonghyo Shim
:
Deep Learning Based Low-Rank Matrix Completion for IoT Network Localization. IEEE Wirel. Commun. Lett. 10(10): 2115-2119 (2021) - [c101]Sangtae Kim, Luong Trung Nguyen, Byonghyo Shim
:
Object Region and Class Learning for Weakly-Supervised Semantic Segmentation. ACSCC 2021: 1125-1131 - [c100]Luong Trung Nguyen, Byonghyo Shim
:
Gradual Federated Learning Using Simulated Annealing. ICASSP 2021: 3090-3094 - [c99]Wonjun Kim, Byonghyo Shim
:
Partial Sample Transmission and Deep Neural Decoding for URLLC-based V2X Systems. ICC 2021: 1-6 - [c98]Jihoon Moon, Hyungyu Ju, Seungnyun Kim
, Byonghyo Shim
:
Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning. ICC Workshops 2021: 1-6 - [c97]Yongjun Ahn, Byonghyo Shim
:
Deep Learning-Based Beamforming for Intelligent Reflecting Surface-Assisted mmWave Systems. ICTC 2021: 1731-1734 - [c96]Jihoon Moon, Byonghyo Shim
:
User Association with Multi-Agent Reinforcement Learning for Energy-Efficient UDN. ICTC 2021: 1772-1776 - [c95]Seokhyeon Choi, Kyuhong Shim
, Jungwook Choi, Wonyong Sung, Byonghyo Shim
:
TernGEMM: GEneral Matrix Multiply Library with Ternary Weights for Fast DNN Inference. SiPS 2021: 111-116 - [c94]Hyunsoo Kim, Jiao Wu, Yosub Park, Seungnyun Kim
, Byonghyo Shim
:
Deep Learning-Based Intelligent Reflecting Surface Phase Shift Control. VTC Fall 2021: 1-5 - [c93]Jiao Wu, Byonghyo Shim
:
Power Minimization of Intelligent Reflecting Surface-Aided Uplink IoT Networks. WCNC 2021: 1-6 - [c92]