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Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems under High-Mobility Scenarios Journal article
Zhou, Binggui, Yang, Xi, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems under High-Mobility Scenarios[J]. IEEE Transactions on Wireless Communications, 2025.
Authors:  Zhou, Binggui;  Yang, Xi;  Ma, Shaodan;  Gao, Feifei;  Yang, Guanghua
Favorite | TC[Scopus]:0  IF:8.9/8.6 | Submit date：2025/01/22
Channel Extrapolation  High-mobility Scenarios  Massive Mimo  Millimeter Wave  Three-domain  
BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024, 11(21), 35536-35550.
Authors:  He, Fuchao;  Shi, Zheng;  Zhou, Binggui;  Yang, Guanghua;  Li, Xiaofan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/09/03
Block Error Rate (Bler)  Deep Reinforcement Learning (Drl)  Hybrid Automatic Repeat Request With Incremental Redundancy (Harq-ir)  Markov Decision Process(Mdp)  Short Packet Communications  
A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems Journal article
Zhou, Binggui, Yang, Xi, Wang, Jintao, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications, 2024, 23(10), 14743-14758.
Authors:  Zhou, Binggui;  Yang, Xi;  Wang, Jintao;  Ma, Shaodan;  Gao, Feifei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:8.9/8.6 | Submit date：2024/08/05
Massive Mimo  Csi Feedback  Few-shot Learning  Domain Knowledge  Aigc  
Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results Conference paper
Li, Kehui, Zhou, Binggui, Guo, Jiajia, Yang, Xi, Xue, Qing, Gao, Feifei, Ma, Shaodan. Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202915.
Authors:  Li, Kehui;  Zhou, Binggui;  Guo, Jiajia;  Yang, Xi;  Xue, Qing; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Beam Tracking  Computer Vision  Deep Learning  Massive Mimo  Prototype System  Training  Visualization  Vehicular And Wireless Technologies  Accuracy  Prototypes  Massive Mimo  
AI/ML for Beam Management in 5G-Advanced: A Standardization Perspective Journal article
Xue, Qing, Guo, Jiajia, Zhou, Binggui, Xu, Yongjun, Li, Zhidu, Ma, Shaodan. AI/ML for Beam Management in 5G-Advanced: A Standardization Perspective[J]. IEEE Vehicular Technology Magazine, 2024, 19(4), 64-72.
Authors:  Xue, Qing;  Guo, Jiajia;  Zhou, Binggui;  Xu, Yongjun;  Li, Zhidu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.8/9.8 | Submit date：2024/12/26
Predictive Models  3gpp  Artificial Intelligence  Accuracy  5g Mobile Communication  Downlink  Signal To Noise Ratio  
Natural Language Processing for Smart Healthcare Journal article
Zhou, Binggui, Yang, Guanghua, Shi, Zheng, Ma, Shaodan. Natural Language Processing for Smart Healthcare[J]. IEEE Reviews In Biomedical Engineering, 2024, 17, 4-18.
Authors:  Zhou, Binggui;  Yang, Guanghua;  Shi, Zheng;  Ma, Shaodan
Favorite | TC[WOS]:93 TC[Scopus]:71  IF:17.2/0 | Submit date：2023/01/30
Natural Language Processing  Smart Healthcare  Artificial Intelligencence  Nlp Techniques  Healthcare Applications  
Gridless Hybrid-Field Channel Estimation for Extra-Large Aperture Array Massive MIMO Systems Journal article
Xi, Yang, Zhu, Fuqiang, Zhou, Binggui, Liu, Ting, Ma, Shaodan. Gridless Hybrid-Field Channel Estimation for Extra-Large Aperture Array Massive MIMO Systems[J]. IEEE Wireless Communications Letters, 2024, 13(2), 496-500.
Authors:  Xi, Yang;  Zhu, Fuqiang;  Zhou, Binggui;  Liu, Ting;  Ma, Shaodan
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:4.6/4.9 | Submit date：2024/02/22
Channel Estimation  Elaa Massive Mimo  Fractional Fourier Transform  Hybrid Field  Normalized Mean-squared Error  
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots Journal article
Zhou, Binggui, Yang, Xi, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots[J]. IEEE Transactions on Wireless Communications, 2024, 24(6), 6061-6076.
Authors:  Zhou, Binggui;  Yang, Xi;  Ma, Shaodan;  Gao, Feifei;  Yang, Guanghua
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:8.9/8.6 | Submit date：2024/02/22
Low-overhead Channel Estimation  Channel Estimation  Antenna Arrays  Attention Mechanism  Deep Learning  Estimation  Feature Extraction  Massive Mimo  Massive Mimo  Training  Transfer Learning  Wireless Communication  
A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method Journal article
Dong, Yunxuan, Zhou, Binggui, Yang, Guanghua, Hou, Fen, Hu, Zheng, Ma, Shaodan. A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method[J]. NEUROCOMPUTING, 2023, 556, 126663.
Authors:  Dong, Yunxuan;  Zhou, Binggui;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.5 | Submit date：2023/08/30
Deep Learning  Feature Enhancement  Spatial Series To Image Series  Spatial–temporal Learning  Tourism Demand Forecasting  
A graph-attention based spatial-temporal learning framework for tourism demand forecasting Journal article
Zhou, Binggui, Dong, Yunxuan, Yang, Guanghua, Hou, Fen, Hu, Zheng, Xu, Suxiu, Ma, Shaodan. A graph-attention based spatial-temporal learning framework for tourism demand forecasting[J]. Knowledge-Based Systems, 2023, 263, 110275.
Authors:  Zhou, Binggui;  Dong, Yunxuan;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:14 TC[Scopus]:13  IF:7.2/7.4 | Submit date：2023/04/03
Tourism Demand Forecasting  Dynamic Spatial Connections  Spatial-temporal Learning  Graph Neural Network  Attention Mechanism