肖竹
我的位置在: 首页 > 学院概况 > 师资力量 > 肖竹
教师介绍

无照片

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连续入选斯坦福大学和爱思唯尔发布的“全球顶尖2%学者”。担任多个国际会议的程序委员会委员。主持了国家自然科学基金、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80余篇,包括IEEE JSAC、IEEE TMC、IEEE T-Cyber、IEEE TITS、IEEE TNNLS、IEEE TON、ACM CSUR、IEEE TSP、IEEE TIE、IEEE TIFS、IEEE TII等国际权威期刊。发表高水平会议论文10余篇,包括IEEE Infocom、ICDCS、Globecom等。Google学术H因子40,获授权发明专利40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15篇,ESI热点论文6篇(均为IEEE/ACM汇刊论文)

部分代表性成果如下:

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

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

[3] [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 Analysis of Trajectory Data. IEEE Transactions on Cybernetics, April, 2023, Vol. 53, No. 4, pp: 2346-2357, DOI:10.1109/TCYB.2021.3117705

[4] [T-ITS] Zhu Xiao, H. Fang, H. Jiang, V.Havyarimana, H. Chen, F. Zeng, and D. Wang. Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach. IEEE Transactions on Intelligent Transportation Systems, August 2022, Vol. 23, No. 8, pp: 12343-12352.

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

[6] [TMC] Zhu Xiao, Jinmei Shu, Hongbo Jiang, Geyong Min, Jinwen Liang, Arun Iyengar. Toward Collaborative Occlusion-free Perception in Connected Autonomous Vehicles. IEEE Transactions on Mobile Computing,  online first,25 July 2023, DOI: 10.1109/TMC.2023.3298643.

[7]  [T-CYB] V. Havyarimana, Zhu Xiao*, T. Semong, J.Bai, H. Chen, and L. Jiao. Achieving Reliable Intervehicle Positioning Based on RedhefferWeighted Least Squares Model under Multi-GNSS Outages. IEEE Transactionson Cybernetics, February, 2023, Vol. 53, No. 2, pp: 1039-1050.

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

[9] [TII] X. Dai, Zhu Xiao*, H.Jiang, M. Alazab, J. Lui, G. Min, S. Dustdar, and J. Liu. Task Offloading forCloud-Assisted Fog Computing With Dynamic Service Caching in Enterprise Management Systems, IEEE Transactions on Industrial Informatics, Jan. 2023, Vol. 19, No. 1, pp:662-672.

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

[11] [TSP] Y. Wang, J. Bai, Zhu Xiao*, 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

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

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

[14] [TMC] H. Jiang, X. Dai, Zhu Xiao*, A. Iyengar. Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing. IEEE Transactions on Mobile Computing, 11 February 2022, online first,DOI: 10.1109/TMC.2022.3150432

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

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

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

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

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

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