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个人简介

学术兼职 江西省计算机学会常务理事,江西省计算机学会网络空间安全专业委员会副主任,江西省城市安全信息化学会理事,江西省信息化智库专家成员,江西省大数据专家库成员 江西省网络空间与信息安全重点实验室主任,加拿大Carleton University 、英国University of Abertay Dundee访问学者,教育部学位中心评估专家,多省市科技项目与奖励评审专家,Artificial Intelligence Review、Information Science、Applied Soft Computing等国际知名期刊长期审稿人。先后在思创数码、江西微软技术中心、汉辰金融科技集团、美翻科技、江西火眼信息、江西中和证、江西安服等企业兼职总经理(主任)、高级顾问,具有丰富的企业管理、项目研发实践经验。先后主持或作为主要成员参与国家发改委技改专项、国家863计划、国家自然科学基金、国家电子基金、国家火炬计划等国家级项目16项,省重大科技创新、省重点实验室、省主要学科学术技术带头人、省自然科学基金、省重点研发计划、省科技支撑计划、省中小企业创新基金、省教改研究课题等省级项目20余项,均得以高质量的完成或正在顺利进行。发表高水平学术论文60余篇,其中SCI、EI检索40余篇,获批软件著作权30余项,申请国家发明专利9项(授权1项,在审8项)、实用新型发明专利3项(授权1项,在审2项),主编国家规划教材2部,参编省级规划教材2部,获江西省科技进步二等奖2项(排名第一1项,排名第二1项),江西省教学成果一等奖2项。先后荣获“南昌大学十佳中青年教师”、“南昌大学优秀共产党员”、“南昌大学优秀本科生导师”、“数学建模竞赛优秀指导教师”等荣誉称号,先后入选 “南昌市重点高层次人才”(2008)、“南昌市521学术技术带头人”(2009)、“江西省新世纪百千万人才工程人选”(2010)、“江西省青年科学家培养对象(省杰青)”(2011)、“江西省高等学校中青年骨干教师培养对象”(2011)、“江西省主要学科学术和技术带头人人选”(2017)。

研究领域

软件研发、企业管理、技术培训、咨询服务等

人工智能、数据挖掘、网络空间与信息安全、粒计算&Rough集、金融风控理论与技术、大数据分析与建模、涉网情报发现与综合研判技术

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Xiangjun Li*, Ke Kong, Hua Shen, Zhixiang Wei, Xiaofeng Liao,. Intrusion detection method based on imbalanced learning classification[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2022.DOI: 10.1080/0952813X.2022.2104384.(SCI,中科院4区,IF:2.296). Xiangjun Li*, Xuewen Zhao, Huijuan Zhang, Jideng Han. Grid Adaptive Bucketing Algorithm Based on Differential Privacy [J]. Mobile Information Systems, 2022(SCI,中科院4区,IF:1.863) Xiangjun Li#,*, Zijie Wu*, Zhibin Zhao*, Feng Ding# , Daojing He.. A Mixed Data Clustering Algorithm with Noise-filtered Distribution Centroid and Adaptive Weight Adjustment Strategy[J]. Information Science, 2021, 577(2021): 697-721.(SCI,中科院1区,IF:6.795) Xiangjun Li*, Yong Zhou*, Xinping Zhang, Su Xu*, Peng Yu. Cluster-based Fine-to-Coarse Superpixel Segmentation[J]. Engineering Applications of Artificial Intelligence. 2021, 102(01): 1-12.(SCI,中科院2区,IF:4.201). Xiangjun Li, Ke Kong*, Su Xu*, Pengtao Qin, Daojing He. Feature selection-based Android malware adversarial sample generation and detection method[J]. IET Information Security, 2021, 2021(01): 1-12. (SCI,中科院4区,IF:1.3) Feng Ding, Guopu Zhu, Mamoun Alazab, Xiangjun Li*, and Keping Yu. Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets[J]. IEEE Consumer Electronics Magazine, 2020, 42(02): 1-8.(SCI,中科院3区,IF:4.016) Xiaofeng Liao*, Xiangjun Li*, Qingyong Xu, Hu Wu, Yongji Wang. Improved Ant Collaborative Filtering on Sparsity via Dimension Reduction[J]. Applied Sciences. 2020. Article number: 070425, pp:1-10. (SCI,中科院3区,IF:2.474) Li Xiangjun , Wang Kexuan*, Liu Bocheng*, Xiao Juxin, Han Songyuan. An Improved Range-Free Location Algorithm for Industrial Wireless Sensor Networks.[J] EURASIP Journal on Wireless Communications and Networking, 2020. 81:1-13 (SCI,中科院4区,IF:1.408) Li Xiangjun, Li Sifan*, Liu Shengnan, Liu Lingfeng, He Daojing. A Malicious Webpage Detection Algorithm Based on Image Semantics.[J] Traitement du Signal, 2020, 37(01): 113-118. (SCI,中科院4区,IF:1.541) Li Xiangjun*, Wu Xiaoliang*, Xu Su, Qing Song*, Chang Pei-Chann. A novel complex network community detection approach using discrete particle swarm optimization with particle diversity and mutation[J]. Applied Soft Computing Journal, 2019, 81(01): 1-14. (SCI,中科院1区,IF:5.472) Li Xiangjun*, Liang Wei, Zhang Xinping*, Qin Song, Chang Pei-Chann. A cluster validity evaluation method for dynamically determining the near-optimal number of clusters[J]. Soft Computing, 2019, 24(12): 9227-9241. (SCI,中科院3区,IF:3.05) Huang Xuan, Liu Lingfeng*, Li Xiangjun, Yu Minrong, Wu Zijie. A New Pseudorandom Bit Generator Based on Mixing Three-Dimensional Chen Chaotic System with a Chaotic Tactics [J]. Complexity, 2019, Volume 2019, pp 1-9. (SCI,中科院2区,IF:2.462) Huang Xuan, Liu Lingfeng, Li Xiangjun*, Yu Minrong, Wu Zijie. A New Two-Dimensional Mutual Coupled Logistic Map and Its Application for Pseudorandom Number Generator [J]. Journal of Mathematical Problems in Engineering, 2019, Volume 2019, pp 1-10. (SCI,中科院4区,IF:1.292) Li Xiangjun*, Qing Song, Zhang Huawei, Wang Tinghua, Yang Huping. Kernel methods for word sense disambiguation[J]. Artificial Intelligence Review, 2016, 46(1): 41-58. (SCI,中科院2区,IF:5.747) Li Xiangjun, Rao Fen, Wang Tinghua, Qiu Taorong. Rough Set-based Feature Weighted Kernels for Support Vector Machine [J]. Journal of Computational and Theoretical Nanoscience, 2012, 9(12):2250-2254. (SCI,IF:1.666) Zhang Xinping, Li Xiangjun*, Liang Wei, Wu Xiaoliang, Jin Ziyan. Community Structure Detection Algorithm in Multi-Relationships Complex Network Based on Clustering Optimization[J]. Process In Engineering and Science, 2017, 42(1):278-282. (EI) Li Xiangjun, Qing Song, Wen Haiping, Liu Chong, Xu Su. An overview of Cluster Analysis Based on Particle Swarm Optimization[J]. Journal of Computational and Theoretical Nanoscience, 2016, 13(11): 8604-8614. Wang Libin, Li Xiangjun*, Yan Xinquan, Qing Song, Chen Yuanlu. Service dynamic trust evaluation model based on Bayesian network in distributed computing environment[J]. International Journal of Security and its Applications, 2015, 9(5): 31-42. (EI) Li Xiangjun, Huo Yanli, Zheng Siwei, et.l. Radix Sort and Attribute Reduction-based Lightning Forecast Factor Extraction[J]. Journal of Information & Computational Science, 2014, 11(14): 5219–5228. (EI) Li Xiangjun, Rao Fen. A rough entropy based approach to outlier detection [J]. Journal of Computational Information Systems, 2012, 8(24): 10501-10508. (EI) Li Xiangjun, Tian Shengfeng, etl. Outlier detection using the information entropy of neighborhood rough sets [J]. Journal of Information and Computational Science, 2012, 9(12):3339-3350. (EI) Wang Tinghua,Hua Jialin, Li Xiangjun,Cai Caiyun. Rough set-based feature weighting to improve SVM classification[J]. Journal of Computational Information Systems, 2012, 8(8): 3359-3367. (EI) Li Xiangjun *, Zhou Yong , Jin Ziyan* , Yu Peng, Zhou Shun. A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream based on the cohesiveness and separation index of Mahalanobis distance[J]. Journal of Electrical and Computer Engineering. Volume 2020, pp:1-8 (EI) 李向军,涂洁莹,赵志宾*. 基于多尺度融合卷积神经网络的熔解曲线有效性分类[J]. 吉林大学学报(工学版),2022, 52(3): 633-639. 2021.3录用(EI) 李向军,喻 鹏,刘伯成,袁凌利. 一种基于四方定理与幻方的矩形图像置乱方法[J]. 计算机工程与科学, 2021,42(6):993-1002.(CSCD) 刘伯成,王浩宇,李向军*,肖聚鑫,肖楚霁,孔珂. 基于Deep-IndRNN的DGA域名检测方法[J] 南昌大学学报(理科版),2020,44(6):598-609. 李向军,孔珂,魏智翔,王科选,肖聚鑫. 面向Android恶意应用静态检测的特征频数差异增强算法[J]. 计算机工程与科学, 2020,42(6):993-1002.(CSCD) 李向军*,周勇,刘韬*,刘伯成,罗铭. 基于最小点对成本的二维轮廓精确匹配与分析方法[J].计算机工程,2020, 46(12):231-237.(CSCD)

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