西安电子科技大学人工智能学院导师教师师资介绍简介-刘静

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基本信息
刘静　教授、博士生导师
博士学科：电路与系统
硕士学科：电路与系统
工作单位：人工智能学院
智能感知与图像理解教育部重点实验室

联系方式
通信地址：西安电子科技大学224信箱
邮政编码：710071
电子邮箱：neouma@mail.xidian.edu.cn
办公地点：老校区主楼III-409

个人简介
此主页不再更新，请查看新主页：https://faculty.xidian.edu.cn/LJ22/zh_CN/index.htm
刘静，女，西安电子科技大学人工智能学院教授、博士生导师。分别于2000年与2004年在西安电子科技大学获得学士与博士学位，2009年破格晋升为教授。期间于2007年4月至2008年4月在澳大利亚昆士兰大学做博士后、2009年7月至2011年7月在澳大利亚新南威尔士大学国防研究院做研究员。
长期从事智能计算、复杂网络与大数据处理领域的研究工作，已合作出版英文专著2部、中文专著2部、发表国际期刊论文70余篇、国际会议论文70余篇。现为人工智能领域顶级期刊《IEEE Trans. Evolutionary Computation》副编，IEEE智能计算学会涌现科技技术委员会主席。
已主持多项国家级、省部级科研项目。2013年作为第三完成人获得国家自然科学二等奖，2014年获得吴文俊人工智能科学技术创新二等奖（个人奖），2015年获得国家自然科学基金优秀青年科学基金资助，2018年入选国家“****”科技创新领军人才。

主要研究方向
进化计算
数据挖掘
网络分析与挖掘

科学研究
目前研究团队承担的科研项目：
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

学术论文
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

荣誉获奖
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

科研团队
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

课程教学
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

招生要求
~~~~~~~~~~~~~~~~~~~~~~~~~~
关于研究生招生的信息：
本人选择博士生、硕士生的条件是要有积极主动进取的学习态度，能全身心地投入到科研工作中，具有责任心，以追求卓越的科研成果为目标。对学生的本科毕业院校、专业背景没有要求，欢迎广大学子报考！
有意保送或报考的学生请先将个人简介发至我的邮箱neouma@mail.xidian.edu.cn！由于工作繁忙，不能一一回复邮件，我仅给我初选合格的学生回复邮件以确定进一步的报考事宜，望谅解！若一周内未收到我的回复邮件，请尽快报考其他导师！
刘静
~~~~~~~~~~~~~~~~~~~~~~~~~~
详细信息参见个人主页http://see.xidian.edu.cn/faculty/liujing/。

Profile
Jing Liu
Key Laboratory of Intelligent Perception and
Image Understanding of Ministry of Education,
Xidian University,
China

Contact Information
Address: P. O. Box 224, Xidian University, Xi'an 710071, China
Email: neouma@mail.xidian.edu.cn, neouma@163.com
Tel: +86-

Introduction
Professional History
Professor (Jun. 2009 - Present),School of Electronic Engineering, Xidian University, China
Research Associate (Jul. 2009 - Jul.. 2011), School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Australia
Associate Professor (Jun. 2006 - Jun. 2009), School of Electronic Engineering, Xidian University, China
Postdoctoral Research Fellow (Apr. 2007 - Apr. 2008), Data & Knowledge Engineer group, School of Information Technology & Electrical Engineering,The University of Queensland, Australia
Lecturer (Jan. 2005 - Jun. 2006), School of Electronic Engineering, Xidian University, China
Committee Membership
Senior Member,IEEE, since 2014
Editorship
Associate Editor,IEEE Transactions on Evolutionary Computation,since 2015

Research Interests
1．Computational Intelligence
2．Complex Networks
3．Data Mining

Research
目前研究团队承担的科研项目：

Papers
Chinese Monographs

Licheng Jiao,Jing Liu, Weicai Zhong,CoevolutionaryComputation and Multiagent Systems, Science Press, China, 2006.
Licheng Jiao, Fang Liu, Shuiping Gou,Jing Liu, Li Chen,IntelligentData Mining and Knowledge Discovery, Xidian University Press, China, 2006 .

EnglishMonographs

David G. Green,Jing Liu, and Hussein A. Abbass, Dual Phase Evolution, Springer, 2013.
Licheng Jiao,Jing Liuand Weicai Zhong, Coevolutionary Computation and Multiagent Systems, WIT Press, UK, 2012. (It is a translated version of the corresponding Chinese monograph.)

Co-Edited International Conference Proceedings

Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, and Hussein A. Abbass, Eds. “Advances in Computational Intelligence,”Proceedings of Plenary/Invited Lectures of IEEE World Congress on Computational Intelligence, Springer LNCS 7311, Brisbane, Australia, Jun., 2012.
Licheng Jiao, Lipo Wang, Xinbo Gao,Jing Liu, Feng Wu, Eds. “Advances in Natural Computation,” Proceedings of the 2nd International Conference on Natural Computation, Parts I, II, Springer LNCS4221, 4222, Xi’an, China, Sept. 2006.
Lipo Wang, Licheng Jiao, Guangming Shi, Xue Li,Jing Liu, Eds. “Fuzzy Systems and Knowledge Discovery,” Proceedings of the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Springer LNAI 4223, Xi’an, China, Sept. 2006.

Book Chapters

Jing Liu, Weicai Zhong, and Licheng Jiao, Multi-agent evolutionary model for global numerical optimization,Agent Based Evolutionary Search, Springer series in Evolutionary Learning and Optimization, 2010.
Licheng Jiao, Maoguo Gong,Jing Liu, Non-Darwinian Evolutionary Mechanism and Natural Computation, in Artificial Intelligence: Review and Prospect, Xuyan Tu (eds.), Science Press, China, 2006 (in Chinese).

International Journal Papers

Chenlong Liu,Jing Liu(Corresponding Author), Zhongzhou Jiang, “A multi-objective evolutionary algorithm based on similarity for community detection from signed social networks,”IEEE Trans. on Cybernetics, 44(12), pp. 2274-2287, 2014.
Mingxing Zhou andJing Liu(Corresponding Author), “A memetic algorithm for enhancing the robustness of scale-free networks against malicious attacks,”Physica A: Statistical Mechanics and its Applications, 410, pp. 131–143, 2014.
Yadong Li,Jing Liu(Corresponding Author), and Chenlong Liu, “A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks,”Soft Computing,18(2): 329-348, 2014.
Xiong Jian,Jing Liu, Yingwu Chen, and Hussein A. Abbass, “A knowledge-based evolutionary multi-objective approach for stochastic extended resource investment project scheduling problems,”IEEE Trans. on Evolutionary Computation, 2014, 18(5): 742-763.
Weicai Zhong,Jing Liu(Corresponding Author), and Li Zhang, “Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection,”Biosystems, 2013, 111(2): 102-110.
Weicai Zhong, Bijan Raahemi andJing Liu,“Classifyingpeer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream,”Peer-to-Peer Networking and Applications, 2013, 6(3): 233-246.
Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang, Licheng Jiao, “A preference multi-objective optimization based on adaptive rank clone and differential evolution,”Natural Computing, 2013, 12(1): 109-132.
Jian Xiong, Yingwu Chen, Kewei Yang, andJing Liu, “A decision support model for multi-attribute group decision making using a multi-objective optimization approach,”The International Journal of Computational Intelligence Systems, 2013, 6(2): 337-353.
Jian Xiong, Ke-wei Yang,Jing Liu, Qing-song Zhao, and Ying-wu Chen, “A two-stage preference-based evolutionary multi-objective approach for capability planning problems,”Knowledge-Based Systems, 2012, 31: 128-139.
Carlton Downey, Mengjie Zhang, andJing Liu, “Parallel linear genetic programming for multi-class classification”,Genetic Programming and Evolvable Machines, 2012, 13(3): 275-304.
Jing Liu, Hussein A. Abbass, David G. Green, and Weicai Zhong, “Motif difficulty (MD): A predictive measure of problem difficulty for evolutionary algorithms using network motifs,”Evolutionary Computation Journal(MIT), 2012, 20(3): 321-347. (doi:10.1162/EVCO_a_00045)
Weicai Zhong andJing Liu(Corresponding Author), Comments on“Scale-free networks without growth,”Physica A, 2012, 391: 263-265.
Li Zhang, Wei-Da Zhou, Pei-Chann Chang,Jing Liu, Zhe Yan, Ting Wang, and Fan-Zhang Li, “Kernel sparse representation-based classifier,”IEEE Trans. on Signal Processing, 2012, 60(4): 1684-1695.
Jing Liu, Hussein A. Abbass, Weicai Zhong, David G. Green, “Local-global interaction and the emergence of scale-free networks with community structures,”Artificial Life, 2011, 17(4): 263-279. (doi:10.1162/ artl_a_00038)
Lam T. Bui,Jing Liu(Corresponding Author), Axel Bender, Michael Barlow, Slawomir Wesolkowski, and Hussein A. Abbass,“DMEA: A direction-based multiobjective evolutionary algorithm,”Memetic Computing, 2011, 3(4): 271-285.
Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, and Ruochen Liu, “Minimum span frequency assignment based on a multiagent evolutionary algorithm,”International Journal of Swarm Intelligence Research, 2011, 2(3): 30-43.
Xue Li,Jing Liu, Quan Z. Sheng, Sherali Zeadally, and Weicai Zhong, “TMS-RFID: temporal management of large-scale RFID applications,”Information Systems Frontiers, Springer, 2011, 13(4): 481-500.
Weicai Zhong, Hussein A. Abbass, Axel Bender, andJing Liu, “Mixed strategy and coevolution dynamics in social networks,”Physica A, 2011, 390(2): 410-417. (doi:10.1016/j.physa.2010.09.031)
Jing Liu, Weicai Zhong, and Licheng Jiao, “A multiagent evolutionary algorithm for combinatorial optimization problems,”IEEE Trans. on Systems, Man, and Cybernetics, Part B, 2010, 40(1): 229-240.
Ruochen Liu, Licheng Jiao, Yangyang Li, andJing Liu, “An immune memory clonal algorithm for numerical and combinatorial optimization,”Front. Comput. Sci. China, 2010, 4(4): 536-559.
Jing Liu, Xue Li, and Weicai Zhong, “Ambiguousdecisiontrees forminingconcept-driftingdatastreams,”Pattern Recognition Letters, 2009, 30(15): 1347-1355.
Bijan Raahemi, Weicai Zhong,andJing Liu,“Exploitingunlabeleddata toimprove Peer-to-Peertrafficclassificationusingincremental Tri-Trainingmethod,”Peer-to-Peer Networking and Applications, Springer, 2009, 2: 87-97.
Jing Liu, Weicai Zhong, and Licheng Jiao, "Moving block sequence and organizational evolutionary algorithm for general floorplanning with arbitrarily shaped rectilinear blocks,"IEEE Trans. Evolutionary Computation, 2008, 12(5): 630-646.
Jing Liu, Weicai Zhong, and Licheng Jiao, "An organizational evolutionary algorithm for numerical optimization,"IEEE Trans. System, Man, and Cybernetics—Part B, 2007, 37(4): 1052-1064.
Jing Liu, Weicai Zhong, and Licheng Jiao, "Comments on 'the 1993 DIMACS Graph Coloring Challenge' and 'Energy Function-Based Approaches to Graph Coloring',"IEEE Trans. Neural Networks, 2006, 17(2): 533.
Jing Liu, Weicai Zhong, and Licheng Jiao, "A multiagent evolutionary algorithm for constraint satisfaction problems,"IEEE Trans. Syst., Man, and Cybern. B, 2006, 36(1): 54-73.
Licheng Jiao,Jing Liu, and Weicai Zhong, "An organizational coevolutionary algorithm for classification,"IEEE Trans. Evolutionary Computation, 2006, 10(1): 67-80.
Weicai Zhong,Jing Liu, Mingzhi Xue, and Licheng Jiao, "A multiagent genetic algorithm for global numerical optimization,"IEEE Trans. System, Man, and Cybern. B, 2004, 34(2): 1128-1141.

International ConferencePapers

Bingqi Cai andJing Liu, “A study of representations for resource constrained project scheduling problems using fitness distance correlation,” In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning(IDEAL'2013), Anhui, Hefei, October, 2013.
Chen Zhu andJing Liu, “A direction based multi-objective agent genetic algorithm,” In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013), Anhui, Hefei, October, 2013.
Lixia Wang andJing Liu, “A scale-free based memetic algorithm for resource-constrained project scheduling problems,” In:the Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013), Anhui, Hefei, October, 2013.
Xiaoxiao Yuan, Chuanfu Xiao, Xiyu Lv, andJing Liu, "A multi-agent genetic algorithm for resource constrained project scheduling problems," In:the Proceedings of the fifteenth annual conference companion on Genetic and Evolutionary Computation Conference (GECCO), Amsterdam, The Netherlands, July, 2013: 195-196.
Jing Liuand Weicai Zhong, Continuous game dynamics on populations with a cycle structure under weak selection, In:the Proceedings of IEEE 2012 Congress on Evolutionary Computation (CEC), Brisbane, Australia, June 2012: 2279-2284.
Jian Xiong,Jing Liu, Yingwu Chen and Hussein Abbass, “An evolutionary multi-objective scenario-based approach for stochastic resource investment project scheduling,” In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 2767-2774.
Jiulei Geng andJing Liu, “Image texture classification using a multi-agent evolutionary clustering algorithm,” In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 504-508.
Weicai Zhong, Yang Zhang andJing Liu,“Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study,”In:the Proceedings of IEEE 2011 Congress on Evolutionary Computation (CEC), New Orleans, USA, Jun. 2011: 2514-2518.
Xinrui Duan,Jing Liu, Ruochen Liu, and Licheng Jiao, “A preference oriented two-layered multiagent evolutionary algorithm for multi-objective job shop problems,” In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 553-557.
Xinrui Duan,Jing Liu, Li Zhang, and Licheng Jiao “Multi-objective job shop scheduling based on multiagent evolutionary algorithm,” In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 543-552.
Ruochen Liu, Qifeng Lei,Jing Liu, and Licheng Jiao, “A population diversity-oriented gene expression programming for function finding,”In:the Proceedings of the 8th International Conference on Simulated Evolution And Learning, Springer-Verlag, India, Dec. 2010: 215-219.
Jing Liu, Weicai Zhong, Hussein A. Abbass, and David Green, “Separated and overlapping community detection in complex networks using multiobjective evolutionary algorithms,” In:the Proceedings of IEEE 2010 Congress on Evolutionary Computation (CEC), Barcelona, Spain, July, 2010.
Wenjing Zhao,Jing Liu, Hussein A. Abbass, and Axel Bender, “A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing,” In:the Proceedings of IEEE 2010 Congress on Evolutionary Computation (CEC), Barcelona, Spain, July, 2010.
Jing Liu, Weicai Zhong,and Licheng Jiao, “Macro-agent evolutionary model for decomposable function optimization,”In:the Proceedings of IEEE 2009 Congress on Evolutionary Computation (CEC), Norway, may 2009: 62-69.
Jing Liu,Wenrong Jiang,Weicai Zhong,and Licheng Jiao, “OEA_SAT: an organizational evolutionary algorithm for solving satisfiability problems,”In:the Proceedings of IEEE 2009 Congress on Evolutionary Computation (CEC), Norway, may 2009: 765-770.
Dingyi Chen, Xue Li,Jing Liu, Xia Chen, “Ranking-constrained keyword sequence extraction from web documents,” In:the Proceedings of the 20th Australasian Database Conference (ADC 2009), Wellington, New Zealand, Jan., 2009: 161-169.
Weicai Zhong, Bijan Raahemi,andJing Liu, “Learning onclassimbalanceddata toclassify peer-to-peer applications in IP traffic using re-samplingtechniques,” In:the Proceedings ofthe 2009 InternationalJoint Conference on Neural Network(IJCNN), Georgia, USA, June, 2009: 3548-3554.
Jing Liu, Wenlong Fu, and Weicai Zhong, “Hybrid genetic programming for optimal approximation of high order and sparse linear systems,” In: the Proceedings of the 7th International Conference on Simulated Evolution And Learning, Springer-Verlag, Melbourne, Australia, Dec. 2008.
Jing Liu, Weicai Zhong, and Jinshu Li, “Multiagent evolutionary algorithm for T-coloring problem,” In:the Proceedings of the 7th International Conference on Simulated Evolution And Learning, Springer-Verlag, Melbourne, Australia, Dec. 2008.
Bijan Raahemi, Weicai Zhong andJing Liu, “Peer-to-peer traffic identification by mining IP layer data streams using concept-adapting very fast decision tree”, In:20th IEEE International Conference on Tools with Artificial Intelligence, Dayton, USA, Nov. 2008: 525-532.
Heyong Wang, Kang Hu,Jing Liu, and Licheng Jiao, "Multiagent evolutionary algorithm for floorplanning using moving block sequence," In:the Proceedings of IEEE 2007 Congress on Evolutionary Computation, Singapore, Sept. 2007: 4272-4377.
Jinshu Li, Heyong Wang,Jing Liu, and Licheng Jiao, "Solving SAT problem with a multiagent evolutionary algorithm," In:the Proceedings of IEEE 2007 Congress on Evolutionary Computation, Singapore, Sept. 2007: 1416-1422.
Kang Hu, Jinshu Li,Jing Liu, and Licheng Jiao, "Permutation flow-shop scheduling based on multiagent evolutionary algorithm," In:the Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Australian, Springer-Verlag, LNAI 4304, Dec. 2006: 917-921.
Jing Liu, Weicai Zhong, "Constrained Optimization using Organizational Evolutionary Algorithm," In:the Proceedings of the6th International Conference on Simulated Evolution And Learning, Hefei, China, Springer-Verlag, LNCS 4247, Oct. 2006: 302-309.
Jing Liu, Weicai Zhong, and Licheng Jiao, "Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning," In:the Proceedings of the International Conference on Computational Intelligence and Security. Springer-Verlag Berlin Publisher, Xi'an, China, Dec., 2005, LNAI 3801: 238-246.
Weicai Zhong,Jing Liu, and Licheng Jiao, "An agent model for binary constraint satisfaction problems," In:the Proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization.Springer-Verlag Berlin Publisher, Lausanne, Switzerland, Apr., 2005, LNCS 3448: 260-269.
Weicai Zhong,Jing Liu, and Licheng Jiao, "Evolutionary agents for n-queen problems," In:the Proceedings ofthe First International Conference on Natural Computation. Springer-Verlag Berlin Publisher, Changsha, China, Aug., 2005, LNCS 3612: 366-373.
Weicai Zhong,Jing Liu, and Licheng Jiao, "Job-shop scheduling based on multiagent evolutionary algorithm," In:the Proceedings ofthe First International Conference on Natural Computation. Springer-Verlag Berlin Publisher, Changsha, China, Aug., 2005, LNCS 3612: 925-933.
Jing Liu, Weicai Zhong, and Licheng Jiao, Fang Liu, "A new data mining method using organizational coevolutionary mechanism," In:the Proceedings of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer-Verlag, May, 2004: 196-200.
Jing Liu, Weicai Zhong, and Licheng Jiao, Fang Liu, "Multiobjective optimization based on coevolutionary algorithm," In:the Proceedings of the Fourth International Conference on Rough Sets and Current Trends in Computing, Springer-Verlag, June, 2004: 774-779.
Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "Numerical optimal using organizational evolutionary algorithm," In:the Proceedings of theFifth International Conference on Computational Intelligence and Multimedia Applications, IEEE Computer Society Publisher, Xi'an, China, Sept. 2003: 284-289.
Weicai Zhong,Jing Liu, Mingzhi Xue, and Licheng Jiao, "Global numerical optimization using multi-agent genetic algorithm," In:the Proceedings of theFifth International Conference on Computational Intelligence and Multimedia Applications, IEEE Computer Society Publisher , Xi'an, China, Sept. 2003: 165-170.
Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "Image retrieval algorithm using fractal dimensions," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 1060-1066.
Jing Liu, Weicai Zhong, Fang Liu, and Licheng Jiao, "OCEC: A novel classification algorithm based on evolutionary computation," In:theProceedings of the 6th International Conference on Signal Processing, IEEE Press, Beijing, China, Aug. 2002: 1051-1054.
Weicai Zhong,Jing Liu, Licheng Jiao, and Fang Liu, "Hybrid image retrieval algorithm using shape," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 1052-1059.
Weicai Zhong,Jing Liu, and Licheng Jiao, "Radar target recognition using organizational coevolutionary classification algorithm," In:the Proceedings of theSecond International Conference on Image and Graphics, SPIE, V.4875, Hefei, China, Aug. 2002: 250-255.

Honors
Awards
The second prize ofWenjun Wu Artificial Intelligence Innovation Award of Chinafor “Fundamental Theories and Applications of Networked Evolutionary Optimization and Learning”. The sole prizewinner, 2014.
The second prize ofNational Natural Science Award of Chinafor “Fundamental Theories for Natural Intelligence based Learning and Optimization”. Ranked as the 3rd prizewinner, 2013.
The first prize ofScience and Technology Award in Shaanxi, China for “Theories, Methods, and Applications of Evolutionary Computation”. Ranked as the 3rd prizewinner, 2008.
My PhD thesis, namely “Coevolutionary Algorithms and Their Applications”, won the Award of Shaanxi Province for Outstanding PhD Thesis in 2007.
New Century Excellent Talents program of the Ministry of Education of China, 2006.
Representative of the tenth National Women's Congress, Oct. 2008.(This is a nation-wide congress for selected outstanding women in various sectors, and is held every five years. I was the only delegate from the entire higher education sector from the Shaanxi Province in 2008. I was also the first staff of Xidian University to attend this congress within 50 years.)
Top ten academic graduates of Xidian University in 2004
Scholarship of excellent graduate of Xidian University in each year from 1996 to 2004
The first prize of the 2nd Challenge Cup of Shaanxi, China (1999)
The excellent prize of the 6th Challenge Cup of China (1999).

Team
团队教师

博士研究生
硕士研究生