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    向渝

    • 副教授 硕士生导师
    • 性别:男
    • 毕业院校:电子科技大学
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 在职信息:在岗
    • 所在单位:计算机科学与工程学院(网络空间安全学院)
    • 学科:工学
    • 办公地点:主楼B1 304
    • 电子邮箱:

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    个人简介

    2003年6月获工学博士学位;2006年7月晋升副教授,2014-2015年澳大利亚墨尔本大学访问学者。主要研究方向为智能交通系统目标检测和防碰撞、基于深度学习的气动建模和网络流量异常感知。

    中国计算机学会互联网专委会委员、四川省海外高层次留学人才、四川省科技厅科技项目评审专家、担任多个国际学术会议程序委员会委员、国际国内重要学术期刊审稿人。 

    主持国家自然科学基金原创探索项目、国家数值风洞工程一期项目、科技部科技支撑计划项目、国家发改委CNGI项目、四川省省级战略性新兴产业发展促进资金项目等多项重要科研项目,参与863计划等多项国家项目。

    在IEEE IoT Journal、IEEE TAES、IEEE TITS、IEEE TVT、IET Communications、JNCA、Computer Networks、ITSC、ACM/IEEE ANCS、电子学报、空气动力学报等国内外重要学术刊物和国际会议发表论文40余篇。

    近年来发表的部分论文:


    2023:

    H. Li, Y. Xiang, H. Xu and W. Wang, "Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures," 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, 2023, pp. 437-443, doi: 10.1109/ICTAI59109.2023.00070. (通信作者)


    Y. Xiang, L. Hu, G. Zhang, J. Zhang and W. Wang, "A Manifold-Based Airfoil Geometric-Feature Extraction and Discrepant Data Fusion Learning Method," in IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 6555-6569, Oct. 2023, doi: 10.1109/TAES.2023.3276735. 


    Bai, X., Wang, W., Zhang, J., Wang, Y., & Xiang, Y. (2023). Novel deep learning methods for 3D flow field segmentation and classification. arXiv preprint arXiv:2305.11884.


    2022:

    Y. Xiang, Y. Huang, H. Xu, G. Zhang and W. Wang, "A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3794-3799, doi: 10.1109/ITSC55140.2022.9922125


    L. Hu, W. Wang, Y. Xiang and J. Zhang, "Flow Field Reconstructions with GANs based on Radial Basis Functions," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2022.3152706.


    Liwei Hu, Yu Xiang, Jun Zhang, Zifang Shi, Wenzheng Wang, Aerodynamic data predictions based on multi-task learning, Applied Soft Computing,Volume 116, 2022, 108369, https://doi.org/10.1016/j.asoc.2021.108369. (通信作者)


    2021:

    张骏,张广博,程艳青,胡力卫,向渝,汪文勇,“一种气动大差异性数据多任务学习方法”,空气动力学学报,2021, 39(s): 1-10.


    J. Fang, Y. Xiang, Y. Huang, Y. Cui and W. Wang, "A Vehicle Control Model to Alleviate Traffic Instability," in IEEE Transactions on Vehicular Technology,  2021, 70(10), pp. 9863–9876 doi: 10.1109/TVT.2021.3109800. (通信作者)


    L.Huang, J.Ran, W.Wang, T.Yang and Y.Xiang, A Multi-channel Anomaly Detection Method with Feature Selection and Multi-scale analysis. Computer NetworksVolume 185,2021,107645, doi:10.1016/j.comnet.2020.107645. (通信作者)


    2020:

    Hu L, Xiang Y, Zhan J, et al. Aerodynamic Data Predictions Based on Multi-task Learning[J]. arXiv preprint arXiv:2010.09475, 2020.


    Hu L, Wang W, Xiang Y, et al. Flow Field Reconstructions with GANs based on Radial Basis Functions[J]. arXiv preprint arXiv:2009.02285, 2020.


    Hu L, Zhang J, Xiang Y, et al. Neural Networks-Based Aerodynamic Data Modeling: A Comprehensive Review[J]. IEEE Access, 2020, 8: 90805-90823.


    Y. Xiang, S. Huang, M. Li, J. Li and W. Wang, "Rear-End Collision Avoidance-Based on Multi-Channel Detection," in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3525-3535, Aug. 2020, doi: 10.1109/TITS.2019.2930731.


    2019:

    Xiang Y, Ran J, Huang L, et al. A Traffic Anomaly Detection Method based on Multi-Scale Decomposition and Multi-Channel Detector[C]//2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). IEEE, Sept. 2019: 1-6. DOI: 10.1109/ANCS.2019.8901897


    J. Li, Y. Xiang, J. Fang, W. Wang and Y. Pi, "Research on Multiple Sensors Vehicle Detection with EMD-Based Denoising," in IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6262-6270, Aug. 2019.   DOI: 10.1109/JIOT.2018.2890541 (通信作者)


    2018:

    Xiang Y, Gou L, He L, et al. A SVRANN combined model based on ensemble EMD for rainfall prediction[J]. Applied Soft Computing, 2018, 73: 874-883.


    2016:

    Xiang Y, Wang X, He L, Wang W, Moran W (2016) Spatial-Temporal Analysis of Environmental Data of North Beijing District Using Hilbert-Huang Transform. PLOS ONE 11(12): e0167662. doi: 10.1371/journal.pone.0167662


    Xiang Y, Xuan Z, Tang M, et al. 3D space detection and coverage of wireless sensor network based on spatial correlation [J]. Journal of Network and Computer Applications, 2016, 61: 93-101.





    教育经历

    1991.9 -- 1995.7
    电子科技大学       电子工程       大学本科毕业       工学学士学位

    1995.9 -- 1998.3
    电子科技大学       通信与信息系统       硕士研究生毕业       工学硕士学位

    1998.9 -- 2003.6
    电子科技大学       通信与信息系统       博士研究生毕业       工学博士学位

    工作经历

    2008.7 -- 至今

    电子科技大学计算机科学与工程学院      副教授

    2003.7 -- 2008.6

    电子科技大学信息中心      副教授

    研究方向

  • 智能交通系统目标检测和防碰撞
    基于深度学习的气动建模
    网络流量异常感知