Robust Video Transmission Over MIMO-OFDM System using MDC and Space Time Codes. - Haifeng Zheng; Congchong Ru; Lun Yu; Chang Chen (ICME, 2006)

Video Transmission over MIMO-OFDM System: MDC and Space-Time Coding-Based Approaches. - Haifeng Zheng; Congchong Ru; Chang Wen Chen; Lun Yu (Adv. Multim., 2007)

On the Capacity and Delay of Data Gathering with Compressive Sensing in Wireless Sensor Networks. - Haifeng Zheng; Shilin Xiao; Xinbing Wang; Xiaohua Tian (GLOBECOM, 2011)

Sequential Compressive Target Detection in Wireless Sensor Networks. - Haifeng Zheng; Shilin Xiao; Xinbing Wang (ICC, 2011)

Energy and latency analysis for in-network computation with compressive sensing in wireless sensor networks. - Haifeng Zheng; Shilin Xiao; Xinbing Wang; Xiaohua Tian (INFOCOM, 2012)

Capacity and Delay Analysis for Data Gathering with Compressive Sensing in Wireless Sensor Networks. - Haifeng Zheng; Shilin Xiao; Xinbing Wang; Xiaohua Tian; Mohsen Guizani (IEEE Trans. Wirel. Commun., 2013)

GCLViz: Garbage Collection vs. Latency Visualization. - Chihua Ma; Stanislav Liberman; Haifeng Zheng (IVAPP, 2014)

Analysis of the degree distribution for LT codes. - Guo Tai Chen; Lei Cao; Haifeng Zheng (Int. J. Wirel. Mob. Comput., 2014)

Data Gathering with Compressive Sensing for Urban Traffic Sensing in Vehicular Networks. - Dan Wang; Haifeng Zheng; Xin Chen; Zhonghui Chen (MIWAI, 2015)

Multiple Access Scheme Based on Block Encoding Time Division Multiplexing in an Indoor Positioning System Using Visible Light. - Yinan Hou; Shilin Xiao; Haifeng Zheng; Weisheng Hu (JOCN, 2015)

Trust dynamic task allocation algorithm with Nash equilibrium for heterogeneous wireless sensor network. - Wenzhong Guo; Jia Ye Chen; Guolong Chen; Haifeng Zheng (Secur. Commun. Networks, 2015)

Data Gathering with Compressive Sensing in Wireless Sensor Networks: A Random Walk Based Approach. - Haifeng Zheng; Feng Yang 006; Xiaohua Tian; Xiaoying Gan; Xinbing Wang; Shilin Xiao (IEEE Trans. Parallel Distributed Syst., 2015)

Incentive mechanism for participatory sensing: A contract-based approach. - Zhonghui Chen; Yeting Lin; Xinxin Feng; Haifeng Zheng; Yiwen Xu (CEC, 2017)

Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine. - Xianyao Ling; Xinxin Feng; Zhonghui Chen; Yiwen Xu; Haifeng Zheng (CEC, 2017)

A compressive and adaptive sampling approach in crowdsensing networks. - Jingjing Chen; Zhonghui Chen; Haifeng Zheng; Xinxin Feng (WCSP, 2017)

Traffic estimation in road networks via compressive sensing. - Jiayin Li; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2017)

Short-term traffic flow prediction with Conv-LSTM. - Yipeng Liu; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2017)

Design and Analysis of In-Network Computation Protocols With Compressive Sensing in Wireless Sensor Networks. - Haifeng Zheng; Wenzhong Guo; Xinxin Feng; Zhonghui Chen (IEEE Access, 2017)

Distributed cell selection in heterogeneous wireless networks. - Xinxin Feng; Xiaoying Gan; Haifeng Zheng; Zhonghui Chen (Comput. Commun., 2017)

Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks. - Haifeng Zheng; Jiayin Li; Xinxin Feng; Wenzhong Guo; Zhonghui Chen; Naixue Xiong (Sensors, 2017)

An Adaptive Leverage Sampling Scheme for Fingerprint-based Indoor Localization. - Wentao Kang; Haifeng Zheng; Xinxin Feng (WCSP, 2018)

3D Convolutional Generative Adversarial Networks for Missing Traffic Data Completion. - Zhimin Li; Haifeng Zheng; Xinxin Feng (WCSP, 2018)

A Novel Spatial-Temporal Regularized Tensor Completion Algorithm for Traffic Data Imputation. - Kaitong Lin; Haifeng Zheng; Xinxin Feng; Zhonghui Chen (WCSP, 2018)

A Kernel-Based Compressive Sensing Approach for Mobile Data Gathering in Wireless Sensor Network Systems. - Haifeng Zheng; Wenzhong Guo; Naixue Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2018)

An attention-based ambient network with 3D convolutional network for incomplete traffic flow prediction. - Feng Lin; Haifeng Zheng; Xinxin Feng (ACM TUR-C, 2019)

A Multi-source Based Coupled Tensors Completion Algorithm for Incomplete Traffic Data Imputation. - Weiming Zhou; Haifeng Zheng; Xinxin Feng; Dong Lin (WCSP, 2019)

An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization. - Haifeng Zheng; Min Gao; Zhizhang Chen; Xiao-Yang Liu; Xinxin Feng (IEEE Internet Things J., 2019)

Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction. - Xinxin Feng; Xianyao Ling; Haifeng Zheng; Zhonghui Chen; Yiwen Xu (IEEE Trans. Intell. Transp. Syst., 2019)

Network Latency Estimation with Graph-Laplacian Regularization Tensor Completion. - Yaying Hu; Lei Deng; Haifeng Zheng; Xinxin Feng; Youjia Chen (GLOBECOM, 2020)

Linear FMCW Radar System for Accurate Indoor Localization and Trajectory Detection. - Rongpeng Xiong; Xinxin Feng; Haifeng Zheng; Zhizhang (David) Chen (ICNC, 2020)

Resource Allocation Strategy for Mobile Edge Computing System with Hybrid Energy Harvesting. - Jiafa Chen; Yisheng Zhao; Zhimeng Xu 001; Haifeng Zheng (VTC Spring, 2020)

A Meta-Learning-Based Approach for Hand Gesture Recognition Using FMCW Radar. - Zhongyu Fan; Haifeng Zheng; Xinxin Feng (WCSP, 2020)

Traffic Flow Forecasting with Spatial-Temporal Graph Convolutional Networks in Edge-Computing Systems. - Xianlu Xu; Haifeng Zheng; Xinxin Feng; Youjia Chen (WCSP, 2020)

Resource Allocation Strategy for D2D-Assisted Edge Computing System With Hybrid Energy Harvesting. - Jiafa Chen; Yisheng Zhao; Zhimeng Xu 001; Haifeng Zheng (IEEE Access, 2020)

Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach. - Lei Deng; Haifeng Zheng; Xiao-Yang Liu; Xinxin Feng; Zhizhang (David) Chen (IEEE/ACM Trans. Netw., 2020)

Traffic Flow Prediction Based on Stream Tensor Analysis. - Haitao Zhang; Xinxin Feng; Lingchao He; Haifeng Zheng (ICIT, 2021)

Unsupervised Federated Adversarial Domain Adaptation for Heterogeneous Internet of Things. - Jinfeng Ma; Mengxuan Du; Haifeng Zheng; Xinxin Feng (MSN, 2021)

Performance Analysis of Wireless Networks with Intelligent Reflecting Surfaces. - Youjia Chen; Baoxian Zhang; Ming Ding 001; David López-Pérez; Haifeng Zheng (WCNC, 2021)

Optimal Transmission Strategy for Solar Harvesting Communication. - Xiaoying Liu 001; Haifeng Zheng; Kechen Zheng; Ping Hu (WCSP, 2021)

Robust Low-Tubal-Rank Tensor Completion for Network Latency Estimation and Anomaly Detection. - Lingzhen Wang; Lei Deng; Xinxin Feng; Haifeng Zheng (WCSP, 2021)

A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing. - Haifeng Zheng; Min Gao; Zhizhang Chen; Xinxin Feng (IEEE Trans. Ind. Informatics, 2021)

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction. - Haifeng Zheng; Feng Lin; Xinxin Feng; Youjia Chen (IEEE Trans. Intell. Transp. Syst., 2021)

Throughput Maximization of Wireless-Powered Communication Networks: An Energy Threshold Approach. - Kechen Zheng; Xiaoying Liu 001; Biao Wang; Haifeng Zheng; Kaikai Chi; Yuan Yao 007 (IEEE Trans. Veh. Technol., 2021)

Robust Spatial-Temporal Graph-Tensor Recovery for Network Latency Estimation. - Huiyu Lin; Lei Deng; Lingzhen Wang; Haifeng Zheng; Xinxin Feng (GLOBECOM, 2022)

Intelligent Load Balancing Relying on Load Prediction with MGCN-GRU. - Jingwei Luo; Youjia Chen; Jinsong Hu; Pingping Chen; Haifeng Zheng (ICCC, 2022)

Incremental Unsupervised Adversarial Domain Adaptation for Federated Learning in IoT Networks. - Yan Huang; Mengxuan Du; Haifeng Zheng; Xinxin Feng (MSN, 2022)

Overcoming Forgetting in Local Adaptation of Federated Learning Model. - Shunjian Liu; Xinxin Feng; Haifeng Zheng (PAKDD (1), 2022)

Application-Based Cooperative Content Caching via Tensor Domain Adaptation Networks. - Yanlong Wang; Youjia Chen; Pingping Chen; Jinsong Hu; Haifeng Zheng (WCSP, 2022)

Graph Spectral Regularized Tensor Completion for Traffic Data Imputation. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Youjia Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Traffic Data Recovery From Corrupted and Incomplete Observations via Spatial-Temporal TRPCA. - Xinxin Feng; Haitao Zhang; Can Wang; Haifeng Zheng (IEEE Trans. Intell. Transp. Syst., 2022)

Multiple Antennas-Based Secure Communications With Channel Inversion Power Control. - Jinsong Hu; Xiaoqiang Shi; Youjia Chen; Haifeng Zheng; Feng Shu 002 (IEEE Wirel. Commun. Lett., 2022)

Multi-Objective Reinforcement Learning Towards User's Targeted VR QoE. - Shuyong Zhang; Youjia Chen; Boyang Guo; David López-Pérez; Jinsong Hu; Haifeng Zheng (GLOBECOM, 2023)

Target Parameter Estimation with Deep Unfolding Networks for MIMO-OFDM Based Integrated Sensing and Communication Systems. - Jingcai Lin; Haifeng Zheng; Xinxin Feng (WCSP, 2023)

A Refinement Boosted and Attention Guided Deep FISTA Reconstruction Framework for Compressive Spectral Imaging. - Ping Xu; Lei Liu 067; Yuewei Jia; Haifeng Zheng; Chen Xu; Lingyun Xue (IEEE Trans. Geosci. Remote. Sens., 2023)

Decentralized Federated Learning With Markov Chain Based Consensus for Industrial IoT Networks. - Mengxuan Du; Haifeng Zheng; Xinxin Feng; Youjia Chen; Tiesong Zhao (IEEE Trans. Ind. Informatics, 2023)

Throughput Maximization of Wireless-Powered Communication Network With Mobile Access Points. - Xiaoying Liu 001; Bin Xu; Kechen Zheng; Haifeng Zheng (IEEE Trans. Wirel. Commun., 2023)

Low-Light Image Enhancement via Stage-Transformer-Guided Network. - Nanfeng Jiang; Junhong Lin; Ting Zhang; Haifeng Zheng; Tiesong Zhao (IEEE Trans. Circuits Syst. Video Technol., 2023)

Graph-Tensor Neural Networks for Network Traffic Data Imputation. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Zhizhang Chen (IEEE/ACM Trans. Netw., 2023)

Intelligent Heavy Truck Platooning with ISCC for Enclosed Intermodal Railway-Road Transport Parks. - Weibin Li; Haifeng Zheng; Jun Fang; Xinxin Feng; Chunyan Cheng (ICASSP Workshops, 2024)

Wireless Hierarchical Federated Aggregation Weights Design with Loss-Based-Heterogeneity. - Yuchuan Ye; Youjia Chen; Junnan Yang; Ming Ding 001; Peng Cheng 002; Jinsong Hu; Haifeng Zheng (INFOCOM (Workshops), 2024)

Cooperative Perception with Deep Reinforcement Learning in Vehicular Networks. - Chen Chen; Fan Xu; Jiayuan Lin; Xinxin Feng; Haifeng Zheng (MSN, 2024)

Data-Driven Radio Resource Allocation Relying on Domain Adversarial Neural Networks. - Yuyang Zheng; Youjia Chen; Yuchuan Ye; Xi Wang; David López-Pérez; Jinsong Hu; Haifeng Zheng (PIMRC, 2024)

Deep Unfolding Network for Target Parameter Estimation in OTFS-based ISAC Systems. - Weizhi Lin; Haifeng Zheng; Xinxin Feng; Youjia Chen (WCNC, 2024)

Off-Grid Parameter Estimation for OFDM-Based ISAC Systems with Incomplete Data. - Muyao Ling; Xinxin Feng; Haifeng Zheng (WCNC, 2024)

Degradation-Aware Dynamic Fourier-Based Network for Spectral Compressive Imaging. - Ping Xu; Lei Liu 067; Haifeng Zheng; Xin Yuan 002; Chen Xu; Lingyun Xue (IEEE Trans. Multim., 2024)

A Data-Driven Base Station Sleeping Strategy Based on Traffic Prediction. - Jiansheng Lin; Youjia Chen; Haifeng Zheng; Ming Ding 001; Peng Cheng 002; Lajos Hanzo (IEEE Trans. Netw. Sci. Eng., 2024)

FedHelo: Hierarchical Federated Learning With Loss-Based-Heterogeneity in Wireless Networks. - Yuchuan Ye; Youjia Chen; Junnan Yang; Ming Ding 001; Peng Cheng 002; Haifeng Zheng (IEEE Trans. Netw. Sci. Eng., 2024)

Adaptive Decentralized Federated Learning in Resource-Constrained IoT Networks. - Mengxuan Du; Haifeng Zheng; Min Gao; Xinxin Feng (IEEE Internet Things J., 2024)

RTONet: Real-Time Occupancy Network for Semantic Scene Completion. - Quan Lai; Haifeng Zheng; Xinxin Feng; Mingkui Zheng; Huacong Chen; Wenqiang Chen (IEEE Robotics Autom. Lett., 2024)

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks. - Mengxuan Du; Haifeng Zheng; Min Gao; Xinxin Feng; Jinsong Hu; Youjia Chen (IEEE Internet Things J., 2024)

Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning. - Min Gao; Haifeng Zheng; Mengxuan Du; Xinxin Feng (IEEE Trans. Ind. Informatics, 2024)

Knowledge-Assisted Resource Allocation With Domain Adversarial Neural Networks. - Youjia Chen; Yuyang Zheng; Jian Xu; Hanyu Lin; Peng Cheng 002; Ming Ding 001; Xi Wang; Jinsong Hu; Haifeng Zheng (IEEE Trans. Netw. Serv. Manag., 2024)

Federated Meta-Learning on Graph for Traffic Flow Prediction. - Xinxin Feng; Haoran Sun; Shunjian Liu; Junxin Guo; Haifeng Zheng (IEEE Trans. Veh. Technol., 2024)

Minimizing Vulnerable Region for Near-Field Covert Communication. - Jinsong Hu; Yiting Zhou; Haifeng Zheng; Youjia Chen; Feng Shu 002; Jiangzhou Wang (IEEE Trans. Veh. Technol., 2024)

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning. - Min Gao; Haifeng Zheng; Xinxin Feng; Ran Tao (AAAI, 2025)

Channel-wise mask learning based mixing transformer for spectral compressive imaging. - Wenyu Xie; Ping Xu; Haifeng Zheng; Yian Liu 002 (J. Frankl. Inst., 2025)

Graph-Tensor FISTA-Net: Edge Computing-Aided Deep Learning for Distributed Traffic Data Recovery. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Ming Zhu 002; Danny H. K. Tsang (IEEE Trans. Netw. Sci. Eng., 2025)

LCV2I: Communication-Efficient and High-Performance Collaborative Perception Framework with Low-Resolution LiDAR. - Xinxin Feng; Haoran Sun; Haifeng Zheng; Huacong Chen; Wenqiang Chen (CoRR, 2025)

Joint Deep Reinforcement Learning and Unfolding for Sensing and Communication Function Selection in Vehicular Networks. - Xiangyu Shen; Haifeng Zheng; Jiayuan Lin; Xinxin Feng (IEEE Trans. Veh. Technol., 2025)