研究方向
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.