Language : English
Gaofeng ZHANG
  • Personal Information

    Associate professor
    Supervisor of Master's Candidates
    Date of Employment:2017-02-20
    School/Department:软件工程系
    Administrative Position:系副主任
    Education Level:With Certificate of Graduation for Doctorate Study
    Business Address:翡翠湖校区翡翠科教楼B906
    Gender:Male
    Degree:Doctoral Degree in Philosophy
    Status:Employed
    Alma Mater:Swinburne University of Technology, AUS
    Discipline:Software Engineering
    Computer Applications Technology
    Computer Software and Theory
    Computer Architecture
    Honors and Titles:
    2012-03-01elected:国家优秀自费留学奖学金
  • Profile

    IMG_4990.jpg

    张高峰,副教授、硕士生导师,现任合肥工业大学软件学院软件工程系副主任。获澳大利亚斯威本科技大学信息与通讯技术哲学博士学位(PhD in ICT),英国东伦敦大学博士后研究员经历,留学期间获得国家留学基金委优秀自费留学生奖。


    主要研究领域:服务计算与边缘智能,计算机图形学与仿真,计算视觉/人工智能,软件分析与恶意软件发现等。

    先后主持和参与国家自然科学基金、国家重点研发计划、安徽省重点研发计划、安徽省自然科学基金、欧盟FP7等多项课题,在TSC、TC、TOSN、ICSOC、FCGS、CCPE、CCGRID等国内外高水平期刊或会议发表论文40余篇,获发明专利5项,软件著作权近10项。

    兼任中国计算机学会服务计算专委会执行委员,中国计算机学会YOCSEF(青年计算机科技论坛)合肥23-24主席,中国计算机学会CCF合肥会员活动中心委员,ICSOC、ICWS、EDGE等领域顶尖国际会议PC member。


    欢迎有志于用科技去改变世界的同学联系报考研究生或本科生科技创新。改变可以是大也可是小,但是在科技浪潮汹涌的时代,不改变就只有进入降级区。

    学生所在学科和专业:计算机大类,包括软件工程、计算机科学与技术、计算机技术、电子信息等

    办公室:翡翠科教楼B906

    邮箱:g.zhang@hfut.edu.cn

    VIS实验室主页:http://faculty.hfut.edu.cn/zhenglp/zh_CN/zdylm/312253/list/index.htm

    ResearchGate主页:https://www.researchgate.net/profile/Gaofeng-Zhang-7



    主要研究方向:

    1、服务计算与边缘智能

    计算是智能和信息技术的基础,在大规模广域的场景下,系统复杂、规模庞大、故障意外频发,如何更好的支撑各种计算任务和AI功能实现?我们关注此类复杂系统中若干本质问题,深入分析和研究了AI大潮下的基础计算发展方向,以计算几何和仿真为交叉结合点,形成了独具特色的服务计算和边缘智能研究领域。此方向得到了国家重点研发计划课题等项目的支持,其研究成果相继发表于IEEE Transactions on Services Computing,ACM Transactions on Sensor Network和International Conference on Service-Oriented Computing等国际顶级期刊和会议,部分高水平成果如下:

    [1] L. Xu. G. Zhang. E. Liu. B. Xu. L. Zheng, Prediction- Awareness Edge User Allocating in Edge Based Intelligent Video Systems Driven by Priority, ICSOC 2021:  International Conference on Service-Oriented Computing, pp 773-780, doi: 10.1007/978-3-030-91431-8_54

    [2] G. Zhang, B. Xu, E. Liu, L. Xu and L. Zheng,Task placement for crowd recognition in edge-cloud based urban intelligent video systems,Cluster Computing, vol. 25, pp. 249–262, Feb. 2022, doi: 10.1007/s10586-021-03392-3

    [3] E. Liu, L. Zheng, Q. He, B. Xu, and G. Zhang,Criticality-Awareness Edge User  Allocation for Public Safety,IEEE Transactions on Services Computing, vol.16, issue 1, pp.  221–234, Feb. 2023, doi: 10.1109/TSC.2021.3131348

    [4] E. Liu, L. Zheng, Q. He, P. Lai, B. Xu and G. Zhang, Role-Based User Allocation Driven by Criticality in Edge Computing, IEEE Transactions on Services Computing, vol. 16, no. 5, pp. 3636-3650, Sept.-Oct. 2023, doi: 10.1109/TSC.2023.3280498.

    [5] E. Liu, G. Zhang, L. Xu, W. Wu, B. Xu and L. Zheng, Server Hazard Risk Awareness User Allocation in Urban-Scale Edges, IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2862-2875, Sept.-Oct. 2024, doi: 10.1109/TSC.2023.3336846

    [6] G. Zhang, X. Li, L. Xu, E. Liu, L. Zheng, W. Wu, B. Xu, UGV-awareness task placement in edge-cloud based urban intelligent video systemsCluster Computing, vol.27, pp. 6563-6577, Aug. 2024, doi: 10.1007/s10586-024-04305-w

    [7] G. Zhang, Y. Li, X. Bao, C. Chakarborty, J. Rodrigues, L. Zheng, X. Zhang, L. Qi, and M. Khosravi, TSDroid: A Novel Android Malware Detection Framework Based on Temporal & Spatial Metrics in IoMT, ACM Transactions on Sensor Network, vol. 19, issue 3, Article 51, Aug. 2023. doi: 10.1145/3532091

    to be continue...



    2、计算机图形学与仿真

    “眼见为实”,计算机图形学为《哪吒》的电影特效和《黑神话:悟空》的游戏动画提供基础技术支持,但更重要的是为空间立法,为人眼前之所见确立基本规则。我们关注于Power图为代表的几何造型,以及空间自动布局生成等领域,以深度学习为驱动,构建起视觉体验与物理原理相互融合虚拟场景,终极目标就是一个无所不包的“世界模型”。此方向得到了国家自然科学基金等项目的支持,其研究成果相继发表于ACM Transaction on Graph, Computers & Graphics  和 Computer Graphics Forum等国际顶级期刊和会议,部分高水平成果如下:

    [1] J. Sun, W. Wu, L. Liu, W. Min, G. Zhang, and L. Zheng. WallPlan: synthesizing floorplans by learning to generate wall graphs. ACM Transactions on Graph, vol. 41, issue 4, Article 92 (July 2022), 14 pages. doi.:10.1145/3528223.3530135

    [2] L. Zheng, Y. Yao, W. Wu, B. Xu, G. Zhang, A novel computation method of hybrid capacity constrained centroidal power diagram, Computers & Graphics, vol. 97, pp. 108-116, 2021, doi:10.1016/j.cag.2021.04.007.

    [3] Y. Yao, W. Wu, G. Zhang, B. Xu, and L. Zheng, Power Diagram based Algorithm for the Facility Location and Capacity Acquisition Problem with Dense Demand, Frontiers of Computer Science, vol. 16, article no. 166709, 2022, doi:10.1007/s11704-022-0582-2

    [4] Y. Yao, J. Liu, W. Wu, G. Zhang, B. Xu, L. Zheng, Accelerating surface remeshing through GPU-based computation of the restricted tangent face, Computer Aided Geometric Design, vol. 104, July 2023, 102216, doi:10.1016/j.cagd.2023.102216.

    [5] Y. Yao, J. Liu, Y. Fei, W. Wu, G. Zhang, D.-M. Yan, L. Zheng, PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing. Computer Graphics Forum, 42: e14897, 2023, doi:10.1111/cgf.14897

    [6] J. Wang, L. Xu, G. Zhang, B. Xu, Y. Peng, and L. Zheng, MODELLING OF CROWD DYNAMICS CONSIDERING EMERGENCY SIGNS AND EMOTIONS, International Journal of Industrial Engineering, vol. 30, issue 3, pp. 660-667, 2023, doi: 10.23055/ijietap.2023.30.3.8363.

    [7] J. Liu, Y. Yao, Y. Fei, G. Zhang, L. Zheng, Surface remeshing with preservation of sharp features through iterative identification and optimization of sample points, Computers & Graphics, vol. 121, 103949, June 2024, doi:10.1016/j.cag.2024.103949.

    to be continue...



    3、软件分析和恶意软件发现

    软件、尤其是手机软件会不会背着用户做一些“不好”的事情?这个问题是一个长期的挑战,道高一尺魔高一丈,攻防、隐藏和发现在不断演化。我们关注于时空等多维空间视角,以深度学习为驱动,构建起长期时间维度视角的恶意软件特征态势,精准发现,高效应对,终极目标就是一个晴朗的“人机合作世界”。此方向得到了国家自然科学基金和安徽省自然科学基金等项目的支持,其研究成果相继发表于ACM Transactions on Sensor Network等国际顶级期刊和会议,部分高水平成果如下:

    [1] G. Zhang, Y. Li, X. Bao, C. Chakarborty, J. Rodrigues, L. Zheng, X. Zhang, L. Qi, and M. Khosravi, TSDroid: A Novel Android Malware Detection Framework Based on Temporal & Spatial Metrics in IoMT, ACM Transactions on Sensor Network, vol. 19, issue 3, Article 51, Aug. 2023. doi: 10.1145/3532091

    to be continue...




  • Research Field

  • Social Affiliations

    [1]   中国计算机学院(CCF)服务计算专委会执行委员
    [2]   中国计算机学会(CCF)合肥会员活动中心委员
    [3]   中国计算机学会(CCF) YOCSEF合肥主席
    [4]   中国计算机学会(CCF)会员
    [5]   中国人工智能学会会员(CAAI)
  • Education Background

    [1]  2009.10- 2013.8
    Swinburne University of Technology, Australia | Information and Communication Technolgies | With Certificate of Graduation for Doctorate Study | PhD
    [2]  2005.9- 2008.6
    合肥工业大学 | 计算机应用技术 | With Certificate of Graduation for Study as Master's Candidates | Master's Degree in Engineering
    [3]  2001.9- 2005.6
    Hefei University of Technology | 计算机科学与技术 | University graduated | Bachelor's Degree in Engineering
  • Work Experience

    [1]  2017.2- Now
    合肥工业大学 | 软件学院 | 教师
    [2]  2014.6- 2017.2
    University of East London, UK | School of Architecture, Computing and Engineering | Post-doc research associate
  • Research Group

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  • Other Contact Information

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