计算机网络原理（本科-双语教学）

无线网络与移动计算（本科生、研究生选修）

高等计算机网络（博士、硕士研究生，留学生-全英文教学）

无线传感器网络（研究生，留学生全英文教学）

车载自组网实时协作定位系统及多数据源融合算法研究国家自然科学基金（61272061）

基于压缩感知与不确定性分析的遮挡环境下测距定位关键问题研究教育部博导基金（20130161110002）

基于流量指标矩阵的网络异常检测方法研究 湖南省自然科学基金（10JJ5069）

基于业务流的全网流量分析研究湖南省自然科学基金（06JJ4078）

麦谷车联网大数据应用研究 企业横向项目

[1]Chenxi Liu,Zhu Xiao,Dong Wang*, et al, “Foreseeing Private Car Transfer between Urban Regions with Multiple Graph-based Generative Adversarial Networks,” World Wide Web (WWWJ), 2022.

[2]Chenxi Liu, Zhu Xiao,Dong Wang*, et al, “Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction,” IEEE Transactions on Network Science and Engineering (IEEE TNSE), 2021.

[3]Chenxi Liu, Jiawei Cai,Dong Wang*, et al. Understanding the Regular Travel Behavior of Private Vehicles: An Empirical Evaluation and A Semi-supervised Model. IEEE Sensors Journal (IEEE JSEN), 2021.

[4] 刘晨曦,王东*, 陈慧玲, 李仁发. 多源异构数据融合的城市私家车流量预测研究.通信学报, 2021.

[5]Dong Wang, Jiaojiao Fan, Zhu Xiao, et al. Stop-and-Wait: Discover Aggregation EffectBased on Private Car Trajectory Data, IEEE Transactions on Intelligent Transportation System (IEEE TITS), 2020.

[6] Jianhua Xiao, Zhu Xiao, Dong Wang, V. HAVYARIMANA, Chenxi Liu, et al, “Vehicle Trajectory Interpolation Based on Ensemble Transfer Regression,” IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 2021.

[7]Huiling Chen,Dong Wang*, Chenxi Liu, “Towards Semantic Travel Behavior Prediction for Private Car Users,” IEEE International Conference on High Performance Computing and Communications (IEEE HPCC), 2020.

[8]Dong Wang, Chengcheng Wang, Jianhua Xiao, Zhu Xiao, Weiwei Chen and Vincent Havyarimana,Bayesian Optimization of Support Vector Machine forRegression Prediction of Short-term Traffic Flow,Intelligent Data Analysis, 2019.

[9]Zhiyang Xiang, Zhu Xiao,Dong Wang*, Jianhua Xiao. Gaussian kernel smooth regression withtopology learning neural networks and Python implementation, NEUROCOMPUTING, 2017.

[10]Sadam Alkhalidi,Dong Wang*, Zaid A. Ali Al-Marhabi. Sector-based Charging Schedule in Rechargeable Wireless Sensor Networks, KSIITRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2017.

[11]Chen J, Xiao Z,Wang D*, et al. Towards Opportunistic Compression and Transmission for Private Car Trajectory Data Collection. IEEE Sensors Journal, 2018.

[12]Chen Jie, Xiao Zhu,Wang Dong*, Long Wangchen, Havyarimana, Vincent, Stay of Interest: A Dynamic Spatiotemporal Stay Behavior Perception Method for Private Car Users, IEEE HPCC, 2019.

[13]Xiao, Zhu and Li, Pingting and Havyarimana, Vincent andGeorges, Hassana Maigary andWang, Dong*and Li, Keqin,GOI: A Novel Design for Vehicle Positioning and Trajectory Prediction under Urban Environments,IEEE Sensors Journal,2018.

[14]Zhu Xiao, Dapeng Xiao, Vincent Havyarimana, HongboJiang, Daibo Liu,Dong Wang*,Zeng Fanzi."Toward Accurate Vehicle State Estimation Under Non-Gaussian Noises," in IEEE Internet of Things Journal, 2019.

[15]Zhu Xiao, Xiangyu Shen, Zeng Fanzi, Vincent Havyarimana,Dong Wang*, Weiwei Chen, Keqin Li. Spectrum Resource Sharing in Heterogeneous Vehicular Networks: A Noncooperative Game-Theoretic Approach With Correlated Equilibrium, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018.

[16]Hongbo Jiang, Zhu Xiao, Zexian Li, Jisheng Xu, Fanzi Zeng, and Dong Wang. An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks. IEEE Transactions on Mobile Computing, 2020.

[17]Yourong Huang, Zhu Xiao, Xiaoyou Yu, Dong Wang, Vincent Havyarimana, and Jing Bai. Road Network Construction with Complex Intersections based on Sparsely-Sampled Private Car Trajectory Data. ACM Transactions on Knowledge Discovery from Data, 2019.