Modeling and QoS analysis of IEEE 802.11 broadcast scheme in Vehicular Ad Hoc Networks. - Baozhu Li; Bo Hu 003; Ren Ping Liu; Shanzhi Chen (ICC, 2013)

Parameter estimation of nonlinear chaotic system by improved TLBO strategy. - Hongjun Zhang; Baozhu Li; Jun Zhang; Yuanhui Qin; Xiaoyi Feng; Bo Liu 008 (Soft Comput., 2016)

Robust track-to-track association algorithm based on t-distribution mixture model. - Baozhu Li; Ningbo Liu; Guoqing Wang; Lin Qi; Yunlong Dong (FUSION, 2017)

MAC Performance Analysis for Drive-Thru Internet Networks With Rayleigh Capture. - Baozhu Li; Shanzhi Chen; Gordon J. Sutton; Yan Shi 002; Ren Ping Liu (IEEE Access, 2017)

Efficient MAC protocol for drive-thru Internet in a sparse highway environment. - Baozhu Li; Tom Hao Luan; Bo Hu 003; Shanzhi Chen (IET Commun., 2017)

Link level performance comparison between LTE V2X and DSRC. - Jin-Ling Hu; Shanzhi Chen; Li Zhao; Yuanyuan Li; Jia-Yi Fang; Baozhu Li; Yan Shi 002 (J. Commun. Inf. Networks, 2017)

Modeling and QoS analysis of the IEEE 802.11p broadcast scheme in vehicular ad hoc networks. - Baozhu Li; Gordon J. Sutton; Bo Hu 003; Ren Ping Liu; Shanzhi Chen (J. Commun. Networks, 2017)

Throughput-Guaranteed Distributed Channel Assignment and Scheduling Algorithms with Low Complexity for Multichannel Wireless Sensor Networks. - Xinyan Xu; Fan Zhang 038; Gangqiang Yang; Liguo Xie; Qing Liu; Baozhu Li (J. Sensors, 2019)

MAC-AC: A Novel Distributed MAC Protocol for Accessing Channel in Vehicular Ad Hoc Networks. - Baozhu Li; Fen Hou; Changyue Zhang; Shaohua Li; Shujuan Ji; Shanzhi Chen (VTC Fall, 2020)

Communication resource allocation in platooning management based on C-V2X with spectrum sensing. - Wei Gao; Celimuge Wu; Baozhu Li; Siri Guleng (ICT-DM, 2021)

Advanced Teaching in Electromagnetics at the ELEDIA Research Center. - Alessandro Polo; Hanen Ahmadi; Sotirios K. Goudos; Jun Hu; Jin Huang; Moman Khan; Baozhu Li; Maokun Li; Giacomo Oliveri; Paolo Rocca; Marco Salucci; Fan Yang 027; et al. (MOCAST, 2021)

Planning of EM Skins for Improved Quality-of-Service in Urban Areas. - Arianna Benoni; Marco Salucci; Giacomo Oliveri; Paolo Rocca; Baozhu Li; Andrea Massa (CoRR, 2021)

A randomized block policy gradient algorithm with differential privacy in Content Centric Networks. - Lin Wang 039; Xingang Xu; Xuhui Zhao; Baozhu Li; Ruijuan Zheng; Qingtao Wu (Int. J. Distributed Sens. Networks, 2021)

Design of hybrid genetic algorithm based on ant colony algorithm. - Yibo Zhao; Baozhu Li (AIAM, 2022)

Traffic Steering in Large-scale Public Cloud. - Zhangfeng Hu; Siqing Sun; Ping Yin; Yanjun Li; Qiuzheng Ren; Baozhu Li; Xiong Li (ICCIP, 2022)

Throughput-Guaranteed Cross-Layer Design for Multi-channel Wireless Networks. - Fan Zhang 038; Baozhu Li (ICCT, 2022)

Research on Throughput-Guaranteed MAC Scheduling Policies in Wireless Networks. - Fan Zhang 038; Baozhu Li; Gangqiang Yang (Entropy, 2022)

Single-lead ECG based multiscale neural network for obstructive sleep apnea detection. - Zhiya Wang; Caijing Peng; Baozhu Li; Thomas Penzel; Ran Liu; Yuan Zhang 007; Xinge Yu (Internet Things, 2022)

Research on Relay Selection Technology Based on Regular Hexagon Region Segmentation in C-V2X. - Zhigang Li; Xinan Yue; Xin Wang; Baozhu Li; Daoying Huang (KSII Trans. Internet Inf. Syst., 2022)

A Defect Localization Approach Based on Improved Areal Coordinates and Machine Learning. - Dandan Pang; Yongqing Jiang; Yukang Cao; Baozhu Li (J. Sensors, 2022)

Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images. - Yadang Chen; Chenchen Wei; Duolin Wang; Chuanjun Ji; Baozhu Li (Remote. Sens., 2022)

MT-GCNN: Multi-Task Learning with Gated Convolution for Multiple Transmitters Localization in Urban Scenarios. - Wenyu Wang; Lei Zhu 007; Zhen Huang; Baozhu Li; Lu Yu 008; Kaixin Cheng (Sensors, 2022)

Digital Signature Technology of Mobile Phone Verification Code based on Biometrics. - Baozhu Li; Ping Wang; Xia Zhang; Zhen Wang (PIMRC, 2023)

Testing Study of Different Flow Direction and Structure for Air-Cooled Proton Exchange Membrane Fuel Cell. - Qingtian Geng; Yaru Han; Baozhu Li; Zhijun Deng; Chen Zhao (IEEE Access, 2023)

Long-Short Term Memory-Based Heuristic Adaptive Time-Span Strategy for Vehicle Speed Prediction. - Qingtian Geng; Zhi Liu; Baozhu Li; Chen Zhao; Zhijun Deng (IEEE Access, 2023)

Multiple-instance learning for EEG based OSA event detection. - Liu Cheng; Shengqiong Luo; Baozhu Li; Ran Liu; Yuan Zhang 007; Haibo Zhang 001 (Biomed. Signal Process. Control., 2023)

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial-Spectral Learning Network. - Hao Xiang; Baozhu Li; Le Sun 002; Yuhui Zheng; Zebin Wu 001; Jianwei Zhang 005; Byeungwoo Jeon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

SISLU-Net: Spatial Information-Assisted Spectral Information Learning Unmixing Network for Hyperspectral Images. - Le Sun 002; Ying Chen; Baozhu Li (Remote. Sens., 2023)

HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images. - Shiwei Cheng; Baozhu Li; Le Sun 002; Yuwen Chen 001 (Remote. Sens., 2023)

Adaptive Slicing-Aided Hyper Inference for Small Object Detection in High-Resolution Remote Sensing Images. - Hao Zhang 115; Chuanyan Hao; Wanru Song; Bo Jiang 018; Baozhu Li (Remote. Sens., 2023)

Data Analysis-Oriented Stochastic Scheduling for Cost Efficient Resource Allocation in NFV Based MEC Network. - Baozhu Li; Fen Hou; Gangqiang Yang; Hui Zhao 009; Shanzhi Chen (IEEE Trans. Veh. Technol., 2023)

Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images. - Duolin Wang; Yadang Chen; Bushra Naz; Le Sun 002; Baozhu Li (Remote. Sens., 2023)

MSleepNet: A Semi-Supervision-Based Multiview Hybrid Neural Network for Simultaneous Sleep Arousal and Sleep Stage Detection. - Hongmei Liu; Haibo Zhang 001; Baozhu Li; Xinge Yu; Yuan Zhang 007; Thomas Penzel (IEEE Trans. Instrum. Meas., 2024)

Binary Noise Guidance Learning for Remote Sensing Image-to-Image Translation. - Guoqing Zhang 002; Ruixin Zhou; Yuhui Zheng; Baozhu Li (Remote. Sens., 2024)

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification. - Xinyu Wang; Le Sun 002; Chuhan Lu; Baozhu Li (Remote. Sens., 2024)

Graph Neural Network-Based Latency Prediction for Stream Processing Task. - Zheng Chu; Ren Hang Zhang; Baozhu Li; Changtian Ying; Weiyun Li (IPDPS, 2025)

Transformer-based latency prediction for stream processing task. - Zheng Chu; Baozhu Li; Changtian Ying (J. King Saud Univ. Comput. Inf. Sci., 2025)