📝 Publications (Listed by Topic)

(† for Equal Contribution; * for Corresponding Authorship; J for Journal Publications; C for Conference Publications; P for Patent Grants/Applications.)

Wireless Communications

[J19] Binggui Zhou and Bruno Clerckx, “Lossy Microwave Linear Analog Computer (MiLAC) for Future MIMO: Learning-based Architecture Designs for Spectral and Energy Efficiency Maximization,” submitted to IEEE Transactions on Mobile Computing. Preprint

[J18] Yilong Liu, Xi Yang, Binggui Zhou, Yu Han, Ting Liu, and Shaodan Ma, “Low-Complexity Channel Estimation Framework for Non-Square UPA-Assisted XL-MIMO Systems,” submitted to IEEE Transactions on Wireless Communications. Preprint

[J17] Minwei Zhang, Maobin Tang, Binggui Zhou, Jintao Wang, Weiqiang Tan, and Chunguo Li, “Learnable Adaptive Quantization for Deep Learning-Based Massive MIMO CSI Feedback,” submitted to IEEE Transactions on Wireless Communications.

[J16] Yiyang Peng, Binggui Zhou, Yutong Zheng, Danilo Mandic, and Bruno Clerckx, “Joint Training Scattering Matrix Learning and Channel Estimation for Beyond-Diagonal Reconfigurable Intelligent Surfaces,” submitted to IEEE Transactions on Wireless Communications. Preprint

[J15] Binggui Zhou and Bruno Clerckx, “Beyond-Diagonal RIS Under Non-Idealities: Learning-Based Architecture Discovery and Optimization,” IEEE Transactions on Wireless Communications, vol. 25, pp. 20606-20622, 2026. Published Version | Preprint

[J14] Qikai Xiao†, Kehui Li†, Binggui Zhou*, and Shaodan Ma, “Deep Learning Based Channel Extrapolation for Dual-Band Massive MIMO Systems,” IEEE Wireless Communications Letters, vol. 15, pp. 2994-2998, 2026. Published Version | Preprint

[J13] Xi Yang*, Dahong Du, Ting Liu, Binggui Zhou*, and Shaodan Ma, “Channel Recovery for UPA-assisted Massive MlMO Systems with Asymmetrical Uplink and Downlink Transceivers,” IEEE Internet of Things Journal, vol. 13, no. 7, pp. 14829-14843, Apr. 2026. (JCR Q1, IF: 8.2) Published Version

[J12] Hao Xia, Qing Xue, Yanping Liu, Binggui Zhou, Meng Hua, and Qianbin Chen, “Intelligent Angle Map-based Beam Alignment for RIS-aided mmWave Communication Networks,” IEEE Transactions on Network Science and Engineering, vol. 13, pp. 5833-5850, 2026. (JCR Q1, IF: 8.3) Published Version | Preprint

[J11] Kehui Li, Binggui Zhou*, Jiajia Guo, Feifei Gao, Guanghua Yang*, and Shaodan Ma, “Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead”, IEEE Transactions on Communications, vol. 74, pp. 3858-3874, 2026. (JCR Q1, IF: 8.3) Published Version | Preprint

[J10] Jintao Wang, Binggui Zhou, Chengzhi Ma, Shiqi Gong, Guanghua Yang, and Shaodan Ma, “Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided MISO Systems,” IEEE Transactions on Vehicular Technology, vol. 74, no. 9, pp. 14943-14948, Sep. 2025. (JCR Q1, IF: 6.1) Published Version | Preprint

[J9] Binggui Zhou, Xi Yang, Shaodan Ma, Feifei Gao, and Guanghua Yang, “Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios,” IEEE Transactions on Wireless Communications, vol. 24, no. 4, pp. 2797-2813, Apr. 2025. (JCR Q1, IF: 8.9) Published Version | Preprint

[J8] Jianpeng Zou, Zheng Shi, Binggui Zhou, Yaru Fu, Hong Wang, and Weiqiang Tan, “Throughput Maximization of HARQ-IR for ISAC,” IEEE Communications Letters, vol. 29, no. 3, pp. 492-496, Mar. 2025. (JCR Q2, IF: 3.7) Published Version

[J7] Qing Xue, Jiajia Guo, Binggui Zhou, Yongjun Xu, Zhidu Li, and Shaodan Ma, “AI/ML for Beam Management in 5G-Advanced: A Standardization Perspective,” IEEE Vehicular Technology Magazine, vol. 19, no. 4, pp. 64-72, Dec. 2024. (JCR Q1, IF: 5.8) Published Version | Preprint

[J6] Fuchao He, Zheng Shi, Binggui Zhou, Guanghua Yang, Xiaofan Li, Xinrong Ye, and Shaodan Ma, “BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications,” IEEE Internet of Things Journal, vol. 11, no. 21, pp. 35536-35550, 1 Nov.1, 2024. (JCR Q1, IF: 8.2) Published Version

[J5] Binggui Zhou, Xi Yang, Jintao Wang, Shaodan Ma, Feifei Gao, and Guanghua Yang, “A Low-Overhead Incorporation-Extrapolation Based Few-Shot CSI Feedback Framework for Massive MIMO Systems,” IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14743-14758, Oct. 2024. (JCR Q1, IF: 8.9) Published Version | Preprint

[J4] Binggui Zhou, Xi Yang, Shaodan Ma, Feifei Gao, and Guanghua Yang, “Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots,” IEEE Transactions on Wireless Communications, vol. 23, no. 6, pp. 6061-6076, Jun. 2024. (JCR Q1, IF: 8.9) Published Version | Preprint | Code

[J3] Xi Yang*, Fuqiang Zhu, Binggui Zhou*, Ting Liu, and Shaodan Ma, “Gridless Hybrid-Field Channel Estimation for Extra-Large Aperture Array Massive MIMO Systems,” IEEE Wireless Communications Letters, vol. 13, no. 2, pp. 496-500, Feb. 2024. (JCR Q1, IF: 4.6) Published Version

[J2] Xianda Wu, Xi Yang, Shaodan Ma, Binggui Zhou, and Guanghua Yang, “Hybrid Channel Estimation for UPA-Assisted Millimeter-Wave Massive MIMO IoT Systems,” IEEE Internet of Things Journal, vol. 9, no. 4, pp. 2829-2842, Feb. 2022. (JCR Q1, IF: 8.2) Published Version

[J1] Xiaohong Chen, Changxing Deng, Binggui Zhou, Huan Zhang, Shaodan Ma, and Guanghua Yang, “High-Accuracy CSI Feedback with Super-Resolution Network for Massive MIMO Systems,” IEEE Wireless Communications Letters, vol. 11, no. 1, pp. 141-145, Jan. 2022. (JCR Q1, IF: 4.6) Published Version | Code

[C3] Weiqiang Tan, Minwei Zhang, Jintao Wang, Binggui Zhou, Xiyuan Chen, and Chunguo Li, “Sequence-Model-Based Joint CSI Feedback and Dynamic Multiuser Precoding for FDD Massive MIMO Systems,“ in Proceedings of IEEE INFOCOM WKSHPS, pp. 1-6, 2026.

[C2] Kehui Li, Binggui Zhou, Jiajia Guo, Xi Yang, Qing Xue, Feifei Gao, and Shaodan Ma, “Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results,” in Proceedings of IEEE Vehicular Technology Conference: VTC2024-Spring, pp. 1-6, 2024.

[C1] Binggui Zhou, Shaodan Ma, and Guanghua Yang, “Transformer-based CSI Feedback with Hybrid Learnable Non-Uniform Quantization for Massive MIMO Systems,” in Proceedings of 2023 32nd Wireless and Optical Communications Conference (WOCC), pp. 1-5, 2023.

[P3] Shaodan Ma, Xi Yang, Chengzhi Ma, Binggui Zhou, and Jintao Wang. “An Enhanced Distributed Hybrid RIS Based Wireless Communication System,” Chinese Patent Application, Sep. 2024.

[P2] Shaodan Ma, Xi Yang, Chengzhi Ma, Binggui Zhou, and Jintao Wang. “A Distributed Hybrid RIS Based Wireless Communication System,” Chinese Patent Grant, CN116056118B, Mar. 2025.

[P1] Shaodan Ma, Changxing Deng, Xiaohong Chen, Huan Zhang, and Binggui Zhou. “Compression Methods, Reconstruction Methods, Devices, and Computer Equipments for Channel State Information,” Chinese Patent Grant, CN113938952B, Oct. 2023.

Machine Learning and Data Science

[J5] Yunxuan Dong, Binggui Zhou, Hongcai Zhang, Guanghua Yang, and Shaodan Ma, “A Deep Time-Frequency Augmented Wind Power Forecasting Model,” Renewable Energy, vol. 256, p. 123550, Jan. 2026. (JCR Q1, IF: 9.0) Published Version

[J4] Binggui Zhou, Guanghua Yang, Zheng Shi, and Shaodan Ma, “Natural Language Processing for Smart Healthcare,” IEEE Reviews in Biomedical Engineering, vol. 17, pp. 4-18, Jan. 2024. (JCR Q1, IF: 17.2, ESI Hot Paper, ESI Highly Cited Paper, and Popular Article & Featured Article of IEEE Reviews in Biomedical Engineering) Published Version | Preprint

[J3] Yunxuan Dong†, Binggui Zhou†, Guanghua Yang, Fen Hou, Zheng Hu, and Shaodan Ma, “A Novel Model for Tourism Demand Forecasting with Spatial–Temporal Feature Enhancement and Image-Driven Method,” Neurocomputing, vol. 556, p. 126663, Nov. 2023. (JCR Q1, IF: 6.0) Published Version

[J2] Binggui Zhou, Yunxuan Dong, Guanghua Yang, Fen Hou, Zheng Hu, Suxiu Xu, and Shaodan Ma, “A Graph-Attention Based Spatial-Temporal Learning Framework for Tourism Demand Forecasting,” Knowledge-Based Systems, vol. 263, p. 110275, Mar. 2023. (JCR Q1, IF: 7.2) Published Version

[J1] Binggui Zhou, Guanghua Yang, Zheng Shi, and Shaodan Ma, “Interpretable Temporal Attention Network for COVID-19 Forecasting,” Applied Soft Computing, vol. 120, p. 108691, May 2022. (JCR Q1, IF: 7.2) Published Version

[C2] Yunxuan Dong, Binggui Zhou, Guanghua Yang, Fen Hou, and Shaodan Ma, “A Spatial-temporal Model for Tourism Demand Forecasting,” in Proceedings of 2021 IEEE 19th Int Conf on Smart City (SmartCity), pp. 1810-1814, 2021.

[C1] Nan Lin, Binggui Zhou, Guanghua Yang, and Shaodan Ma, “Multi-head Attention Networks for Nonintrusive Load Monitoring,” in Proceedings of 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1-5, 2020.

[P1] Binggui Zhou, Guanghua Yang, Zheng Shi, Suxiu Xu, Zheng Hu, and Haitao Jiang. “A Spatial-temporal Tourism Demand Forecasting Method Based on Graph Convolution and Attention Mechanism,” Chinese Patent Grant, CN115438837B, Sep. 2025.

Miscellaneous

[J1] Binggui Zhou, Qingkai Liu, and Ju Qiu. “Indoor IoT Security System Based on Raspberry Pi and WeChat,” Transducer and Microsystem Technologies, vol. 36, no. 11, pp. 109-111+122, Nov. 2017. (Chinese Science Citation Database (CSCD))

[C1] Binggui Zhou, Guanghua Yang, and Shaodan Ma, “Product-oriented Product Service System for Large-scale Vision Inspection,” in Procedia CIRP, vol. 83, pp. 675-679, 2019.