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Shi Jin

Researcher Next ID · RN-036210

Researcher · Computer Science

Shanghai Jiao Tong University

Shanghai, China

Accepting doctoral researchersFunding unknown
Works count
1,583
Citation count
48,071
H-index
99
i10-index
622

Research interests

Computer Science
Engineering
Advanced MIMO Systems Optimization
Cooperative Communication and Network Coding
Advanced Wireless Communication Technologies
Millimeter-Wave Propagation and Modeling
Antenna Design and Analysis

Publications

  • A Tutorial on Near-Field XL-MIMO Communications Toward 6G

    IEEE Communications Surveys & Tutorials · 2024 · 10.1109/comst.2024.3387749

  • Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band

    IEEE Transactions on Communications · 2022 · 10.1109/tcomm.2022.3193400

  • Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design With 3D Beam Flattening

    IEEE Transactions on Wireless Communications · 2021 · 10.1109/twc.2021.3056154

  • A wireless communication scheme based on space- and frequency-division multiplexing using digital metasurfaces

    Nature Electronics · 2021 · 10.1038/s41928-021-00554-4

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis

    IEEE Transactions on Information Forensics and Security · 2020 · https://doi.org/10.1109/tifs.2020.2988575

  • Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

    IEEE Transactions on Wireless Communications · 2020 · https://doi.org/10.1109/twc.2020.3024887

  • Model-Driven Deep Learning for MIMO Detection

    IEEE Transactions on Signal Processing · 2020 · 10.1109/tsp.2020.2976585

  • Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

    IEEE Transactions on Wireless Communications · 2020 · 10.1109/twc.2020.2968430

  • Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design

    IEEE Wireless Communications · 2020 · 10.1109/mwc.001.1900308

  • Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI

    IEEE Transactions on Vehicular Technology · 2019 · https://doi.org/10.1109/tvt.2019.2923997

  • Model-Driven Deep Learning for Physical Layer Communications

    IEEE Wireless Communications · 2019 · 10.1109/mwc.2019.1800447

  • Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems

    IEEE Transactions on Signal Processing · 2018 · 10.1109/tsp.2018.2831628

  • Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels

    IEEE Wireless Communications Letters · 2018 · 10.1109/lwc.2018.2874264

  • Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

    IEEE Wireless Communications Letters · 2018 · https://doi.org/10.1109/lwc.2018.2832128

  • Deep Learning for Massive MIMO CSI Feedback

    IEEE Wireless Communications Letters · 2018 · https://doi.org/10.1109/lwc.2018.2818160

  • Programmable time-domain digital-coding metasurface for non-linear harmonic manipulation and new wireless communication systems

    National Science Review · 2018 · 10.1093/nsr/nwy135

  • Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels

    IEEE Journal on Selected Areas in Communications · 2017 · 10.1109/jsac.2017.2687278

  • Deep learning for wireless physical layer: Opportunities and challenges

    China Communications · 2017 · 10.1109/cc.2017.8233654

  • A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model

    IEEE Transactions on Vehicular Technology · 2016 · 10.1109/tvt.2016.2594706

  • Noncoherent Detections for Ambient Backscatter System

    IEEE Transactions on Wireless Communications · 2016 · 10.1109/twc.2016.2635654

  • Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs

    IEEE Transactions on Signal Processing · 2015 · 10.1109/tsp.2015.2508786

  • Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC

    IEEE Communications Letters · 2015 · 10.1109/lcomm.2015.2494600

  • Beam Division Multiple Access Transmission for Massive MIMO Communications

    IEEE Transactions on Communications · 2015 · 10.1109/tcomm.2015.2425882

  • Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means

    IEEE Journal of Selected Topics in Signal Processing · 2014 · 10.1109/jstsp.2014.2324534

  • Channel Estimation for Massive MIMO Using Gaussian-Mixture Bayesian Learning

    IEEE Transactions on Wireless Communications · 2014 · 10.1109/twc.2014.2365813

Current projects

    No projects listed.