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 and Wang, 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.