肖竹-湖大信息科学与工程学院

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肖竹，男，工学博士，教授，岳麓学者，博士生导师，IEEE Senior Member，CCF高级会员，2022、2023、2024连续3年入选斯坦福大学和爱思唯尔发布的“全球顶尖前2%学者”。主持了国自科联合基金重点项目/面上项目、国家重点研发计划课题、湖南省重点研发计划等20余项国家/省部级项目。近五年来以第一作者/通讯作者在IEEE Trans或SCI一区期刊发表论文90余篇，包括IEEE JSAC、IEEE COMMAG、IEEE TMC、IEEE T-Cyber、IEEE TITS、IEEE TNNLS、IEEE TON、ACM CSUR、IEEE TSP、IEEE TIE、IEEE TIFS等国际权威期刊。发表高水平会议论文10余篇，包括IEEE Infocom、ICDCS、Mobihoc、Globecom等。Google学术H因子43，获授权发明专利50余项。受邀担任Top期刊IEEE TITS的编委（AE）。

中文名：	肖竹	英文名：
学历：		职称：	教授
联系电话：		电子邮件：	zhxiao@hnu.edu.cn
研究方向：	下一代通信新技术、移动边缘计算、车联网大数据挖掘、无线定位与导航、智能信息/信号/图像处理
联系地址：	湖南长沙岳麓山湖南大学信息科学与工程学院（410082）
所属机构：	通信工程系学院教师

想报考研究生的童鞋们看过来，本人对大家的要求如下。

本人不关注你的过去，只在意如何培养你的未来。

本人只关注你的决心，只要你有态度，有持续投入科研的热情，我会一直陪在你科研奋进的路上，就像之前的学长学姐一样，已有10余人次获得国家奖学金，获得国家级、省级研究生创新大赛一等奖3项，入职清华大学、中华人民共和国外交部、华为和阿里等大厂...，助你达到你心中的理想。

茫茫人海，期待与你相遇！

开设课程：

本科生课程： Information theory and coding（全英文课程）、现代通信新技术

研究生/留学生： Mobile Communications （全英文课程）

研究方向

1. 异构网与移动边缘计算 (Heterogeneous Networks and Mobile Edge Computing)

2. 车联网(Internet of Vehicle)、大数据挖掘(Big Data Mining)、智能交通(ITS）

3. 无线定位与感知 (Wireless Localization and Perception)

4. 智能信号处理、图像处理 (Intelligent Signal Processing, Image Processing)

科研成果

科研成果请参见个人学术主页：https://zhuxiao-hnu.github.io/en/

其中ESI高被引论文19篇，ESI热点论文10篇（均为IEEE/ACM汇刊论文）

部分代表性成果如下：

[IEEE CMag] Zhu Xiao, Rui Wang, Jing Bai, Tong Li, Shiyuan Zhang, Keqin Li and Zhu Han. An LLM-enhanced Conditional DiffusionModel for Mobile Traffic Prediction. IEEE Communications Magazine, 2025, accepted.

[ACM CSUR]ChenxiLiu, Zhu Xiao*, Wangchen Long, Tong Li, Hongbo Jiang, Keqin Li. VehicleTrajectory Data Processing, Analytics, and Applications: A Survey. ACM Computing Surveys, May 2025, Vol. 57, No. 9, Article No. 231, pp: 1-36.https://doi.org/10.1145/3715902

[JSAC]Zhu Xiao, J. Shu, H. Jiang, G. Min, H. Chen and Z. Han. PerceptionTask Offloading with Collaborative Computation for Autonomous Driving. IEEE Journal on Selected Areas in Communications, February 2023, Vol. 41,No. 2, pp: 457-473.

[TMC] Zhu Xiao, JinmeiShu, Hongbo Jiang, Geyong Min, Jinwen Liang, Arun Iyengar. Toward CollaborativeOcclusion-free Perception in Connected Autonomous Vehicles. IEEE Transactionson Mobile Computing, May 2024, Vol. 23, No. 5, pp: 4918-4929.

[TMC] Zhu Xiao, J. Shu,H. Jiang, J. Lui, G. Min, J. Liu and S. Dustdar. Multi-Objective Parallel TaskOffloading and Content Caching in D2D-aided MEC networks. IEEE Transactions on Mobile Computing, November 2023, Vol.22, No. 11,pp: 6599-6615.

[T-CYB] Zhu Xiao, H. Fang, H. Jiang, J. Bai, V. Havyarimana, H. Chen, and L.Jiao. Understanding Private Car Aggregation Effect via Spatio-temporal Analysisof Trajectory Data. IEEE Transactions on Cybernetics, April,2023, Vol. 53, No. 4, pp: 2346-2357, DOI:10.1109/TCYB.2021.3117705

[T-ITS] Zhu Xiao, Bo Liu,Linshan Wu, Hongbo Jiang, Beihao Xia, Tao Li, and Cassandra C. Wang. ExploringSpatio-temporal Carbon Emission Across Passenger Car Trajectory Data. IEEE Transactions on Intelligent Transportation Systems, Feb. 2025, Vol. 26, No. 2, pp: 1812-1825.

[IEEE Network] Zhu Xiao, Jinmei Shu, Hongbo Jiang, Geyong Min,Hongyang Chen, and Zhu Han. Overcoming Occlusions: Perception Task-OrientedInformation Sharing in Connected and Autonomous Vehicles. IEEE Network Magazine, 24 October 2023, Vol. 37,No. 4, pp: 224-229.

[T-ITS] Zhu Xiao, Y. Chen, M.Alazab, and H. Chen. Trajectory Data Acquisitionvia Private Car Positioning Based on Tightly-coupled GPS/OBD Integration inUrban Environments. IEEE Transactions on Intelligent Transportation Systems, July, 2022, Vol. 23, No. 7, pp: 9680-9691.

[T-CYB] V. Havyarimana, Zhu Xiao*, T. Semong, J.Bai, H. Chen, and L. Jiao. Achieving ReliableIntervehicle Positioning Based on Redheffer Weighted Least Squares Model underMulti-GNSS Outages. IEEE Transactions on Cybernetics, February, 2023, Vol. 53, No. 2, pp: 1039-1050.

[TMC] H. Jiang, Zhu Xiao*,Z. Li, J. Xu,F. Zeng, and D. Wang. An Energy-Efficient Framework for Internetof Things Underlaying Heterogeneous Small Cell Networks. IEEETransactions on Mobile Computing, Jan. 2022, Vol. 21, No. 1, pp: 31-43.

[TIE] Talal Ahmed Ali Ali, Zhu Xiao*, Hongbo Jiang, Bo Li. A Class of Digital Integrators Based onTrigonometric Quadrature Rules. IEEE Transactions on Industrial Electronics, June. 2024, Vol. 71, No. 6, pp: 6128-6138.

[TSP] Y. Wang, J. Bai, ZhuXiao*, H. Zhou, and L. Jiao. MsmcNet: A Modular Few-shot Learning Frameworkfor Signal Modulation Classification, IEEE Transactions on Signal Processing, 18 July 2022, Vol. 70, pp: 3789-3801

[JSAC] X. Yu, Q. Yang, Zhu Xiao*, H. Chen, V.Havyarimana, and Z. Han. A Precoding Approach forDual-Functional Radar-Communication System with One-Bit DACs. IEEE Journal on Selected Areas in Communications, March, 2022, Vol. 40, No.6, pp: 1965-1977.

[T-CYB] J. Bai, W.Yu, Zhu Xiao*, V. Havyarimana, A. C. Regan, H. Jiang, and L. Jiao. Two-StreamSpatial-Temporal Graph Convolutional Networks for Driver DrowsinessDetection. IEEE Transactions on Cybernetics, Dec. 2022,Vol.52, No. 12, pp: 13821-13833.

[TMC] XingxiaDai, Zhu Xiao*, Hongbo Jiang, and JohnC.S. Lui. UAV-Assisted Task Offloading in Vehicular Edge Computing Networks. IEEE Transactions on Mobile Computing, April 2024, Vol. 23, No. 4, pp:2520-2534.

[TNNLS] J. Bai, W. Shi, Zhu Xiao*, T. Ali, F. Ye, and L. Jiao. Achieving Better Category Separabilityfor Hyperspectral Image Classification: A Spatial-Spectral Approach. IEEE Transactions on Neural Networks and Learning Systems, 16 January 2023,online first, DOI:10.1109/TCYB.2021.3110813

[T-CYB] J. Bai, A. Yuan, Zhu Xiao*, H. Zhou, D. Wang, H. Jiang, and L. Jiao. Class Incremental Learning withFew-shots Based on Linear Programming for Hyperspectral ImageClassification. IEEE Transactions on Cybernetics, June,2022, Vol. 52, No. 6, pp: 5474-5485.

[TII] J. Bai, Y. Wang, Zhu Xiao*, and M. Alazab. RffAe-S: Autoencoder Based on Random Fourier Featurewith Separable Loss for Unsupervised Signal Modulation Clustering, IEEE Transactions on Industrial Informatics, 29 April 2022, Vol. 18, No.11,pp: 7910-7919.

[TIFS] YiranWang, Jing Bai, Zhu Xiao*, Zheng Chen, Yong Xiong, Hongbo Jiang, Licheng Jiao. AutoSMC: AnAutomated Machine Learning Framework for Signal Modulation Classification. IEEE Transactions on Information Forensics and Security, 13 June2024, vol.19, pp: 6225-6236.

[TON] H. Jiang, M. Wang, P. Zhao, Zhu Xiao*, S. Dustdar. A Utility-Aware General Framework With QuantifiablePrivacy Preservation for Destination Prediction in LBSs. IEEE/ACM Transactions on Networking, Oct. 2021, Vol. 29, Iss. 5, pp: 2228-2241.

[ACM-CSUR] H.Jiang, J. Li, P. Zhao, F. Zeng, Zhu Xiao*, and A. Iyengar. LocationPrivacy-Preserving Mechanisms in Location-based Services: A ComprehensiveSurvey. ACM Computing Surveys, 54, 1, Article 4 (November 2020),36 pages.

[CCF通讯] 肖竹，龙望晨，曾凡仔. 基于云边端协同的智慧城市车辆轨迹大数据挖掘和出行模式识别. 中国计算机学会通讯，2024年第5期，pp. 32-38.