On power allocation for a cognitive radio network with hybrid spectrum sharing. - Jing Zhang 031; Hongbo Zhu 002 (Sci. China Inf. Sci., 2011)

Optimization of MAC Frame Structure for Opportunistic Spectrum Access. - Jing Zhang 031; Lina Qi; Hongbo Zhu 002 (IEEE Trans. Wirel. Commun., 2012)

Sensing-energy efficiency tradeoff for cognitive radio networks. - Jing Zhang 031; Fu-Chun Zheng; Xi-Qi Gao 001; Hongbo Zhu 002 (IET Commun., 2014)

Optimization of Cognitive MAC Frame Structure from an Energy Efficiency Perspective. - Jing Zhang 031; Fu-Chun Zheng; Xi-Qi Gao 001; Hongbo Zhu 002 (VTC Fall, 2015)

Which Is Better for Opportunistic Spectrum Access: The Duration-Fixed or Duration-Variable MAC Frame? - Jing Zhang 031; Fu-Chun Zheng; Xi-Qi Gao 001; Hongbo Zhu 002 (IEEE Trans. Veh. Technol., 2015)

Joint Offloading and Resource Allocation Optimization for Mobile Edge Computing. - Jing Zhang 031; Weiwei Xia 001; Yueyue Zhang; Qian Zou; Bonan Huang; Feng Yan 004; Lianfeng Shen (GLOBECOM, 2017)

Self-organizing map-based scheme against probabilistic SSDF attack in cognitive radio networks. - Zhixu Cheng; Tiecheng Song; Jing Zhang 031; Jing Hu 002; Yazhou Hu; Lianfeng Shen; Xi Li 013; Jun Wu 011 (WCSP, 2017)

A task assignment algorithm based on particle swarm optimization and simulated annealing in Ad-hoc mobile cloud. - Bonan Huang; Weiwei Xia 001; Yueyue Zhang; Jing Zhang 031; Qian Zou; Feng Yan 004; Lianfeng Shen (WCSP, 2017)

An evolutionary game for joint wireless and cloud resource allocation in mobile edge computing. - Jing Zhang 031; Weiwei Xia 001; Zhixu Cheng; Qian Zou; Bonan Huang; Fei Shen 001; Feng Yan 004; Lianfeng Shen (WCSP, 2017)

Joint Computation Offloading and Resource Allocation Optimization in Heterogeneous Networks With Mobile Edge Computing. - Jing Zhang 031; Weiwei Xia 001; Feng Yan 004; Lianfeng Shen (IEEE Access, 2018)

Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results. - Peiwen Jiang; Tianqi Wang; Bin Han; Xuanxuan Gao; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (CoRR, 2018)

TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code. - Yunfeng He; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (APWCS, 2019)

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. - Jing Zhang 031; Hengtao He; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (ICASSP, 2019)

Expanded Compute-and-Forward for Backhaul-Limited Cell-Free Massive MIMO. - Jing Zhang 031; Jiayi Zhang 001; Jiakang Zheng; Shi Jin 002; Bo Ai 001 (ICC Workshops, 2019)

A Scalable Implementation for Real-Time Phased Antenna Array mmWave Testbeds. - Xi Yang 003; Jing Zhang 031; Binqi Yang; Kang Wang; Xiao Li 001; Shi Jin 002 (ICCC, 2019)

Improved ComNet Based on Expectation Propagation for CP-Free OFDM System. - Jing Zhang 031; Xi Yang 003; Chao-Kai Wen; Xiao Li 001; Shi Jin 002 (ICCC, 2019)

Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test. - Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (IEEE Access, 2019)

Joint Channel Estimation and Localization for Cooperative Millimeter Wave Systems. - Xi Yang 003; Chao-Kai Wen; Shi Jin 002; A. Lee Swindlehurst; Jing Zhang 031 (SPAWC, 2020)

Interaction-based Detection Strategy Against Probabilistic SSDF Attack in CSS Network. - Zhixu Cheng; Jing Zhang 031; Tiecheng Song; Jing Hu 002; Xu Bao (SPAWC, 2020)

Model-driven Deep Learning Based Turbo-MIMO Receiver. - Jing Zhang 031; Hengtao He; Xi Yang 003; Chao-Kai Wen; Shi Jin 002; Xiaoli Ma (SPAWC, 2020)

Model-Driven DNN Decoder for Turbo Codes: Design, Simulation, and Experimental Results. - Yunfeng He; Jing Zhang 031; Shi Jin 002; Chao-Kai Wen; Geoffrey Ye Li (IEEE Trans. Commun., 2020)

Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Jun Zhang 023; Shi Jin 002 (ICC Workshops, 2021)

Designing Tensor-Train Deep Neural Networks For Time-Varying MIMO Channel Estimation. - Jing Zhang 031; Xiaoli Ma; Jun Qi 002; Shi Jin 002 (IEEE J. Sel. Top. Signal Process., 2021)

Detection Strategy Against Restricted SSDF Attack With Potential Interaction Assistance. - Zhixu Cheng; Jing Zhang 031; Tiecheng Song; Jing Hu 002; Xu Bao (IEEE Trans. Cogn. Commun. Netw., 2021)

AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results. - Peiwen Jiang; Tianqi Wang; Bin Han; Xuanxuan Gao; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Geoffrey Ye Li (IEEE Trans. Wirel. Commun., 2021)

Meta Learning-Based MIMO Detectors: Design, Simulation, and Experimental Test. - Jing Zhang 031; Yunfeng He; Yu-Wen Li; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2021)

Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (ISWCS, 2022)

Small-Cell Sleeping and Association for Energy-Harvesting-Aided Cellular IoT With Full-Duplex Self-Backhauls: A Game-Theoretic Approach. - Yulun Cheng; Jun Zhang 023; Jing Zhang 031; Haitao Zhao 004; Longxiang Yang; Hongbo Zhu 002 (IEEE Internet Things J., 2022)

Adaptive MIMO Detector Based on Hypernetwork: Design, Simulation, and Experimental Test. - Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE J. Sel. Areas Commun., 2022)

Contract-based scheme for computational resource allocation in cloud-assisted parked vehicular edge computing. - Zhixu Cheng; Jing Zhang 031; Tiecheng Song; Jing Hu 002 (Phys. Commun., 2022)

Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results. - Xingyu Zhou 011; Jing Zhang 031; Chen-Wei Syu; Chao-Kai Wen; Jun Zhang 023; Shi Jin 002 (IEEE Trans. Commun., 2022)

CE-ViT: A Robust Channel Estimator Based on Vision Transformer for OFDM Systems. - Fangyu Liu; Jing Zhang 031; Peiwen Jiang; Chao-Kai Wen; Shi Jin 002 (GLOBECOM, 2023)

A Cooperative Resource Optimization Framework for Blockchain-based Vehicular Networks with MEC. - Jing Zhang 031; Fei Shen 001; Liang Tang; Feng Yan 004; Fei Qin; Lianfeng Shen (GLOBECOM, 2023)

MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (GLOBECOM, 2023)

Joint Beamforming for RIS-Assisted Multicast System Based on Model-Driven Deep Learning. - Chunxia Ding; Weijie Jin; Xiao Li 001; Jing Zhang 031 (ICCT, 2023)

A Multi-Agent Reinforcement Learning Approach for Dynamic Offloading with Partial Information-Sharing in IoT Networks. - Jing Zhang 031; Fei Shen 001; Liang Tang; Feng Yan 004; Fei Qin; Chao Wang (VTC Fall, 2023)

Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Shuangfeng Han (IEEE Trans. Signal Process., 2023)

Model-Driven Deep Learning for Hybrid Precoding in Millimeter Wave MU-MIMO System. - Weijie Jin; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Commun., 2023)

Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (SPAWC, 2024)

Universal Model-Driven Deep Learning for MIMO Transceiver Design. - Jing Zhang 031; Chao-Kai Wen; Le Liang; Shi Jin 002 (IEEE Commun. Mag., 2024)

Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning. - Weijie Jin; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Xiao Li 001; Shuangfeng Han (IEEE Trans. Wirel. Commun., 2024)

Gradient-Based Markov Chain Monte Carlo for MIMO Detection. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2024)

AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems. - Xinjie Li; Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (WCNC, 2025)

Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Signal Process., 2025)

DOGS: Dynamic Task Offloading in Space-Air-Ground Integrated Networks With Game-Theoretic Stochastic Learning. - Jing Zhang 031; Jiaxuan Zhang; Fei Shen 001; Feng Yan 004; Zhiyong Bu 001 (IEEE Internet Things J., 2025)

Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Commun., 2025)

Hypernetwork-Enhanced GEPNet for MIMO-OFDM Receiver With Imperfect CSI. - Xinjie Li; Jing Zhang 031; Xingyu Zhou 011; Yong Li; Shi Jin 002 (IEEE Wirel. Commun. Lett., 2025)

Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead. - Xinjie Li; Jing Zhang 031; Xingyu Zhou 011; Chao-Kai Wen; Shi Jin 002 (CoRR, 2025)

Joint Beamforming in RIS-Assisted Multi-User Transmission Design: A Model-Driven Deep Reinforcement Learning Framework. - Weijie Jin; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Fu-Chun Zheng (IEEE Trans. Commun., 2025)

PD-CEViT: A Novel Pilot Pattern Design and Channel Estimation Network for OFDM Systems. - Fangyu Liu; Peiwen Jiang; Jing Zhang 031; Wenjin Wang 001; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Commun., 2025)

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation. - Xinjie Li; Xingyu Zhou 011; Yixiao Cao; Jing Zhang 031; Chao-Kai Wen; Xiao Li 001; Shi Jin 002 (CoRR, 2025)

Generative Diffusion Models for High Dimensional Channel Estimation. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Peiwen Jiang; Yong Li; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2025)