Xianjin Fang(方贤进), Ph.D, Prof., Doctoral Supervisor

Dean, School of Computer Science and Engineering(计算机科学与工程学院院长), Anhui University of Science and Technology(安徽理工大学)

联系信息:

安徽省淮南市泰丰大街168号, 安徽理工大学求本楼B408, 232001

Phone: +86-554-6633351 Fax: +86-554-6668973

E-mail: xjfang AT austc.edu.cn, xjfang AT aliyun.com

Short Biography

2010年获得安徽大学计算机应用技术博士学位, 2005年获得安徽大学计算机应用技术硕士学位, 1993年毕业于安徽师范大学计算机应用专业并获理学学士学位.中国计算机学会(CCF)高级会员，中国电子学会会员，中国人工智能学会高级会员，中国密码学会(CACR)会员，CCF教育专委会委员，安徽省计算机学会常务理事，安徽省计算机教育研究会常务理事.教育部工程教育认证专家.

Research Interests

  • Network and Information Security: 入侵检测系统, 隐私保护, 人工智能安全，Linux系统及安全
  • Intelligent Computing: 人工免疫计算

    • Courses

  • Network & Information Security(For graduates)

    Spring 2022

  • 信息安全法(For undergraduates)

    Spring 2019, Spring 2020

  • 现代密码学(For undergraduates)

    Fall 2019 Fall 2018 Fall 2017, Fall 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012

  • 计算机导论(For undergraduates)

    Fall 2016, Fall 2015

  • 计算机安全与密码学(For postgradutes)

    Fall 2017, Fall 2016, Fall 2015

  • 人工智能导论(For undergraduates)

    Fall 2013

  • 人工智能原理(For postgradutes)

    Part1~Part4, 神经网络, 遗传算法, 模糊逻辑, 机器学习

  • 机器学习(For Postgraduates)

    Spring 2014

  • Linux操作系统与服务器管理(For Undergraduates)

    Spring 2014

  • Linux开发基础(For Undergraduates)

    part1:Shell编程, part2: GNU C/C++编程, 《GNU C/C++开发指南》, part3: Perl编程 (附:Perl源代码), Linux OS系统管理软件源代码

    • Speeches

  • 研究生入学教育 学术前沿讲座之一,2017（For Postgraduates） Mathematics for Computer Science
  • 学术前沿讲座之一,2017（For Postgraduates）
  • Mathematics for Computer Science, Published by Google & MIT
  • Differential Privacy
  • Bot/Botnet及其检测技术
  • Computational Intelligence, Concepts to Implementations: part1, part2, part3
  • Artificial Immune Systems: A New Computational Intelligence Approach
  • Artificial Immune Systems: An Emerging Technology
  • An Introduction to Artificial Immune Systems
  • Introduction to Artificial Immune Systems (AIS)
  • 信息安全概述 (An Overview of Information Security)
  • 入侵检测技术研究进展 (Advance in Intrusion Detection Techniques)
  • 自然计算机中的人工免疫算法 (Artificial Immune Algorithms in Nature-Inspired computation)
  • 信息安全专业培养计划(Undergraduate Program for Specialty in Information Security)
  • 信息安全专业介绍
  • Malware and Artificial Immune Systems
  • Fall 2017，学籍管理培训(PPT, for Freshmen) ,《安徽理工大学全日制本科学生学籍管理实施细则》，本科毕业设计、毕业实习动员

    • Publications

    2023
  • Xu, K., Yang, G., Fang, X. et al. Facial depth forgery detection based on image gradient. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-14626-4

    • 2022
  • Zhiwei Li, Xianjin Fang*, Gaoming Yang. Remove adversarial perturbations with linear and nonlinear image filters. Display, volume  73 (2022) 102143. https://www.sciencedirect.com/science/article/pii/S0141938221001402?dgcid=author.
  • H. Tu, G. Zhao, H. Xu and X. Fang. Tenant-Grained Request Scheduling in Software-Defined Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, volume  73, No 12, pp. 4654-4671, 1 Dec. 2022, doi: 10.1109/TPDS.2022.3199031.
  • Yang, G., Wang, T., Fang, X. et al. RSFace: subject agnostic face swapping with expression high fidelity. Visual Computer (2022). https://doi.org/10.1007/s00371-022-02675-z.
  • Yang, G., Xu, K., Fang, X. et al. Video face forgery detection via facial motion-assisted capturing dense optical flow truncation. Visual Computer (2022). https://doi.org/10.1007/s00371-022-02683-z
    • 2021
  • Zhifeng Xu, Xianjin Fang, Gaoming Yang. Malbert: A novel pre-training method for malware detection. Computers and Security, volume  2021, 111(2021). https://10.1016/j.cose.2021.102458.
  • Xianjin Fang & Zhiwei Li & Gaoming Yang. A novel approach to generating high-resolution adversarial examples. Applied Intelligence, https://doi.org/10.1007/s10489-021-02371-w.
  • 余方超, 方贤进*, 张又文, 杨高明, 王丽. 增强深度学习中的差分隐私防御机制. 南京大学学报（自然科学）,Vol. 57, No. 1 Jan., 2021, pp: 10~20, https://DOI：10. 13232/j. cnki. jnju. 2021. 01. 002
    • 2020
  • Fang, X., Zeng, Q. & Yang, G. Local differential privacy for human-centered computing. Journal on Wireless Communications and Networking, volume  2020, 65 (2020). https://doi.org/10.1186/s13638-020-01675-8.
  • F. Yu, L. Wang, X. Fang, and Z. Youwen, “The defense of adversarial example with conditional generation adversarial networks,” Security and Communication Networks, 2020.
  • G. Yang, X. Ye, X. Fang, R. Wu and L. Wang, "Associated Attribute-Aware Differentially Private Data Publishing via Microaggregation," in IEEE Access, vol. 8, pp. 79158-79168, 2020, doi: 10.1109/ACCESS.2020.2990296.
  • Fang, Xianjin; Zeng, Qingkui ; Yang, Gaoming, "Local Differential Privacy for Data Streams" in Proc. of 1st International Conference on Security and Privacy in Digital Economy, SPDE 2020, pp. 143-160, Nov, 2020.
    • 2019
  • Fang, XJ ; Yu, FC ;Yang, GM ; Qu, YY . Regression Analysis With Differential Privacy Preserving. IEEE ACCESS, 卷:7,页:129353-129361.
  • Yang, Gaoming; Yu, Xu; Xu, Lingwei; Xin, Yu; Fang, Xianjin. An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.PloS one, 卷:14 期:10 页:e0221920,DOI:10.1371/journal.pone.0221920
  • 杨高明; 朱海明; 方贤进*; 苏树智. 局部差分隐私约束的关联属性不变后随机响应扰动. 电子学报，2019, Vol. 47, No.5, pp:1079-1085.
  • Su, Shuzhi;Fang, Xianjin*;Yang,Gaoming;Ge, Bin;Zhu, Yanmin. Self-balanced multi-view orthogonality correlation analysis for image feature learning. Infrared Physics and Technology,Vol.100(2019), pp:44-51.
  • Yang, Gaoming; Dong, Tao; Fang, Xianjin*.Association Data Release with Randomized Response Based on Bayesian Networks．Int. J. of Computational Science and Engineering (IJCSE),Vol.20, No. 1, 2019, pp: 120-129.
  • 杨高明;龚晨;方贤进*;葛斌;苏树智. 面向频繁序列的局部差分隐私保护研究. 哈尔滨工程大学学报, 2019, vol. 40, No. 11, pp: 1903-1911.
  • 杨高明,方贤进*,肖亚飞．局部差分隐私约束的链接攻击保护．计算机科学与探索. 2019, 13(2),pp:251-262.
  • Peng, WangChun ; Wang, BaoNan ; Hu, Feng ; Wang, YunJiang ; Fang, XianJin ; Chen, XingYuan ; Wang, Chao. Factoring larger integers with fewer qubits via quantum annealing with optimized parameters. Science China: Physics, Mechanics and Astronomy, Volume: 62, Issue: 6, June 1, 2019, pp:060311-1:8
    • 2018
  • 陈家明; 王丽*; 肖亚飞; 方贤进. k-匿名机制下查询隐私的一种度量方法. 中国科学技术大学学报,(06),pp 512-518,2018.
    • 2017
  • Ji J., Fang Xianjin*.,Chen D., Xiao Y., Wu Y. (2017) A Novel Grouping-Based WSN Clustering Data Transmission Protocol. In: Chen F., Luo Y. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 202, pp 152-162. Springer, Cham. (EI)
  • X. Fang and Y. Wu*, Investigation into the elliptic curve cryptography, 2017 3rd International Conference on Information Management (ICIM), Chengdu, 2017, pp. 412-415. doi: 10.1109/INFOMAN.2017.7950418. (EI)
  • Xianjin Fang, Gaoming Yang*, Yanting Wu. Research on the Underlying Method of Elliptic Curve Cryptography. Proc. of 2017 4th International Conference on Information Science and Control Engineering(ICISCE2017). July 21-23, 2017, Changsha, China, IEEE CS Press,pp:639-643, DOI 10.1109/ICISCE.2017.139. (EI)
  • 方贤进，肖亚飞，杨高明. 大数据及其隐私保护. Big Data Research(大数据)，2017，3(5):45-56.
    •

    Projects

  • 大数据全生命周期的隐私保护安全关键技术与系统研究(18030901025), 2018年安徽省科技重大专项, 201801~2020.12.31, Principal investigator
  • 差分隐私高维数据发布理论与方法研究, 国家自然科学基金(61572034),201601~201912, Principal investigator
  • 基于生物免疫学中危险理论的入侵检测研究, 国家自然科学基金(61240023),201301~201312, Principal investigator
  • 基于树突细胞行为模型的僵尸程序检测方法研究, 国家自然科学基金(61402012), 201501~201712, Investigator

    • Honors and Awards

  • 2005年, 荣获安徽理工大学优秀教师称号
  • 2010年, 荣获安徽理工大学师德先进个人称号
  • 2017年, "椭圆曲线加密教学中辅助软件的开发与应用"获第九届信息安全与密码学教学研讨会会议论文特等奖
  • 2020年, "高等学校信息安全专业综合改革研究与实践" 获全国煤炭行业教学成果奖二等奖

    • Links

  • NSFC:National Natural Science and Foundation of China,科学基金网络信息系统
  • 中华人民共和国科技部
  • 安徽省科技厅
  • 开源社区SourceForge
  • 开源社区GitHub

    • This website is created by xjfang @ aust.edu.cn. All Rights Reserved.