Ω计算智能研究所


OMEGA介绍
计算智能研究所（OMEGA）是由西安电子科技大学和西北工业大学从事计算智能研究的科研人员组建的协同创新平台。"OMEGA" 的含义是"Optimization and Mining Knowledge via Artificial Intelligence（智能优化与知识发现）"。
OMEGA行政隶属于西安电子科技大学电子工程学院和前沿交叉研究院，学科隶属于国家重点学科电子科学与技术（全国第四轮学科评估结果中，被评为A+，并列全国第1）。OMEGA是电子科学与技术学科“信息感知与智能系统”学科方向的建设责任单位。OMEGA依托的科研平台为信息感知技术协同创新中心、综合业务网理论及关键技术国家重点实验室和智能感知与图像理解教育部重点实验室。OMEGA团队2012年被评为首批陕西省重点科技创新团队。
在国家重点研发计划、国家自然科学基金、陕西省重点研究计划等项目的支持下，OMEGA目前的主要研究内容包括计算智能理论与方法、网络信息感知与隐私保护、雷达与遥感智能系统等，并探索在网络安全、环境安全和生命安全领域的产业应用。

招生信息
OMEGA是精诚团结、积极上进的团队，我们的目标是打造业界知名的研究团队。为电子信息行业培养优秀的高层次人才是我们的首要责任。欢迎有志青年报考我们的博士研究生和硕士研究生，与团队并肩战斗、共同进步。报考前可提前和我们联系。
OMEGA团队硕士和博士招生专业为国家重点学科“电子科学与技术”（全国排名第一）。
团队每年计划招3～4名博士、12～15名学术型硕士和8～10名专业型硕士；接收外校保送生名额不限。
考生需具有较好的数学基础、较好的编程能力（Python、MATLAB、C/C++）、较好的英文水平。
如果本科期间参加过数学建模竞赛、电子设计竞赛或者程序设计竞赛等，录取时会优先考虑。

联系方式
Email：mggong@mail.xidian.edu.cn （研究生推免、优研、招生事宜务必抄送至张明阳老师myzhang@xidian.edu.cn；科研合作相关事宜务必抄送至武越老师ywu@xidian.edu.cn；应聘工作相关事宜务必抄送至王善峰老师sfwang@xidian.edu.cn）
办公地点：西安电子科技大学北校区主楼III区306


OMEGA负责人简介
公茂果，博士，教授，博士生导师，西安电子科技大学人才工作办公室主任，计算智能研究所所长，陕西省重点科技创新团队负责人，国家“****”科技创新领军人才。
主要研究方向为计算智能理论与方法、网络信息感知与隐私保护、雷达与遥感智能系统，主持国家重点研发计划、国家863计划、国家自然科学基金等二十余项课题，发表论文100余篇，被引用一万余次，H-index引用指数50+，入选中国高被引****，授权国家发明专利30余项，获国家自然科学奖 、教育部自然科学奖等省部级以上科技奖励5项。
担任IEEE演化计算汇刊、IEEE神经网络与学习系统汇刊等期刊编委，中国人工智能学会青工委主任等。
>>详细情况

智能安全前沿研究中心

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Ω计算智能研究所


OMEGA介绍
计算智能研究所（OMEGA）是由西安电子科技大学和西北工业大学从事计算智能研究的科研人员组建的协同创新平台。"OMEGA" 的含义是"Optimization and Mining Knowledge via Artificial Intelligence（智能优化与知识发现）"。
OMEGA行政隶属于西安电子科技大学电子工程学院和前沿交叉研究院，学科隶属于国家重点学科电子科学与技术（全国第四轮学科评估结果中，被评为A+，并列全国第1）。OMEGA是电子科学与技术学科“信息感知与智能系统”学科方向的建设责任单位。OMEGA依托的科研平台为信息感知技术协同创新中心、综合业务网理论及关键技术国家重点实验室和智能感知与图像理解教育部重点实验室。OMEGA团队2012年被评为首批陕西省重点科技创新团队。
在国家重点研发计划、国家自然科学基金、陕西省重点研究计划等项目的支持下，OMEGA目前的主要研究内容包括计算智能理论与方法、网络信息感知与隐私保护、雷达与遥感智能系统等，并探索在网络安全、环境安全和生命安全领域的产业应用。

招生信息
OMEGA是精诚团结、积极上进的团队，我们的目标是打造业界知名的研究团队。为电子信息行业培养优秀的高层次人才是我们的首要责任。欢迎有志青年报考我们的博士研究生和硕士研究生，与团队并肩战斗、共同进步。报考前可提前和我们联系。
OMEGA团队硕士和博士招生专业为国家重点学科“电子科学与技术”（全国排名第一）。
团队每年计划招3～4名博士、12～15名学术型硕士和8～10名专业型硕士；接收外校保送生名额不限。
考生需具有较好的数学基础、较好的编程能力（Python、MATLAB、C/C++）、较好的英文水平。
如果本科期间参加过数学建模竞赛、电子设计竞赛或者程序设计竞赛等，录取时会优先考虑。

联系方式
Email：mggong@mail.xidian.edu.cn （研究生推免、优研、招生事宜务必抄送至张明阳老师myzhang@xidian.edu.cn；科研合作相关事宜务必抄送至武越老师ywu@xidian.edu.cn；应聘工作相关事宜务必抄送至王善峰老师sfwang@xidian.edu.cn）
办公地点：西安电子科技大学北校区主楼III区306


OMEGA负责人简介
公茂果，博士，教授，博士生导师，西安电子科技大学人才工作办公室主任，计算智能研究所所长，陕西省重点科技创新团队负责人，国家“****”科技创新领军人才。
主要研究方向为计算智能理论与方法、网络信息感知与隐私保护、雷达与遥感智能系统，主持国家重点研发计划、国家863计划、国家自然科学基金等二十余项课题，发表论文100余篇，被引用一万余次，H-index引用指数50+，入选中国高被引****，授权国家发明专利30余项，获国家自然科学奖 、教育部自然科学奖等省部级以上科技奖励5项。
担任IEEE演化计算汇刊、IEEE神经网络与学习系统汇刊等期刊编委，中国人工智能学会青工委主任等。
>>详细情况

智能安全前沿研究中心

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OMEGA团队发展轨迹
2020年由公茂果作为负责人申报的《深度神经网络结构优化理论与方法》项目获得国家自然科学基金重点项目立项支持。
2020年公茂果被西安市委、市政府评为科技领域“西安之星”
2019年公茂果获得中国人工智能学会杰出贡献奖
2019年公茂果被人工智能TOP期刊《IEEE Transactions on Evolutionary Computation》评为杰出副主编（Outstanding Associate Editor）
2019年公茂果入选中国高被引****
2019年公茂果入选国家“****”科技创新领军人才
2018年公茂果教授入选科技部中青年科技创新领军人才
2018年公茂果教授入选中国高被引****
2018年马里佳博士的学位论文入选陕西省优秀博士学位论文
2018年OMEGA团队李嘉恒、张朋朋、王钟书牵头完成的三项成果在第五届高分辨率对地观测学术年会上获得优秀论文奖和青年创新基金。
2018年OMEGA团队梁爽、武越、张明阳、雷雨等人完成的创业项目在陕西省科技工作者创新创业大赛中获得金奖。
2017年由OMEGA团队公茂果教授作为项目负责人牵头申报的国家重点研发计划项目顺利立项，获得2516万元经费支持开展网络大数据隐私保护和侵犯取证技术的研究。
2017年公茂果教授入选中国高被引****
2016年OMEGA团队的成果《计算智能中的协作学习与优化理论及方法》获2016年度教育部自然科学奖二等奖。
2016年OMEGA负责人公茂果教授再次入选Elsevier中国高被引****榜单。
2015年OMEGA团队侍佼、雷雨和公茂果合作完成的论文在中国电子学会第二十一届青年学术年会上获优秀论文奖。
2015年OMEGA负责人公茂果教授入选Elsevier中国高被引****榜单
2014年OMEGA负责人公茂果教授获国家自然科学基金"优秀青年科学基金"
2014年OMEGA负责人公茂果教授获第十四届霍英东高等院校青年教师奖
2013年OMEGA负责人公茂果获国家自然科学奖二等奖
2013年OMEGA负责人公茂果获吴文俊人工智能科学技术奖创新奖
2012年OMEGA负责人公茂果入选首批"国家高层次人才特殊支持计划"中组部青年拔尖人才
2012年被评为"陕西省重点科技创新团队"，信息领域仅7个团队入选
2011年获中国电子学会电子信息科学技术奖二等奖
2011年OMEGA成员曹宇在第四届AMD中国高校加速计算竞赛中获亚军
2011年OMEGA成员曹宇、周智强获微软HPC校园编程大赛全国第四名
2010年OMEGA负责人公茂果获第八届陕西青年科技奖
2010年获陕西省科学技术奖一等奖
2010年OMEGA负责人公茂果获西安电子科技大学"师德先进个人"称号
2010年OMEGA负责人公茂果入选陕西省青年科技新星
2009年获陕西省高等学校科学技术一等奖
2009年在Elsevier科技部和《科学新闻》杂志组织的首届"Scopus寻找未来科学之星"活动中，OMEGA负责人公茂果入选信息科学领域全国前十名，获"青年科学之星"称号
2009年OMEGA负责人公茂果被授予西安电子科技大学"优秀教师"称号
2009年OMEGA负责人公茂果入选学校首批"优秀青年教师支持计划"
2008年OMEGA负责人公茂果被授予"陕西省青年突击手"称号
2008年OMEGA负责人公茂果入选教育部"新世纪优秀人才支持计划"

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指导教师
公茂果 (国家****领军人才、西安电子科技大学华山领军教授、博导)
王友顺 (IEEE Fellow、西安电子科技大学华山讲席教授、博导)
盛凯 (西安电子科技大学华山领军教授、博导)
焦文华 (国家****领军人才、西安电子科技大学华山讲座教授、博导)
李豪 (西安电子科技大学华山菁英****、副教授、硕导)
武越 (西安电子科技大学副教授、硕导)
王善峰 (西安电子科技大学讲师、硕导)
张明阳 (西安电子科技大学副教授、硕导)
谢飞 (西安电子科技大学华山特聘研究员)
唐泽栋 (西安电子科技大学副教授)
蒋祥明 (西安电子科技大学副教授)
陈玲 (西安电子科技大学副教授)
帅文静 (西安电子科技大学讲师、博士后)
王钊 (西安电子科技大学讲师、博士后)
詹涛 (西安电子科技大学讲师、博士后)
梁爽 (西安电子科技大学讲师、博士后)
陈穆林(西安电子科技大学讲师、博士后)
赵斌(西安电子科技大学讲师、博士后)

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那彦 (西安电子科技大学教授、博导)
钟桦 (西安电子科技大学教授、博导)
高卫峰 (西安电子科技大学教授、博导)
王桂婷 (西安电子科技大学副教授、硕导）
高永婵 (西安电子科技大学华山菁英****、副教授、博导)
刘洁怡 (西安电子科技大学讲师、博士后)

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雷雨 (西北工业大学副教授、硕导)
侍佼 (西北工业大学副教授、硕导)
田大湧 (西北工业大学讲师)

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合作导师（姓氏拼音排序）
Qing Cai
Weisheng Chen
Haifeng Du
Ziyu Guan
Haibo He (IEEE Fellow)
Licheng Jiao (IEEE Fellow)
Qiuzhen Lin
Jianping Luo
Lijia Ma
Jingjing Ma
Wenping Ma
Xiaoke Ma
Deyu Meng
Qiguang Miao
Yew-Soon Ong (IEEE Fellow)
Kai Qin
Kay Chen Tan (IEEE Fellow)
Xiaogang Wang
Yuan Yuan
Qingfu Zhang (IEEE Fellow)
Wei Zhao
Aimin Zhou
Zexuan Zhu


研究团队（姓氏拼音排序）
目前，OMEGA由以下三个研究组组成：

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A Group: 计算智能理论与算法
博士研究生：
高原
韩超
蒋汾龙
刘统飞
汪昆
吴涛
郑小龙
硕士研究生：
乔文远
梁演峰
芦毅衡
曾慧敏
张朋朋

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E Group: 网络信息感知与隐私保护
博士研究生：
杜永杰
冯开元
付宝
刘佳璐
刘文枫
潘珂
周慧
硕士研究生：
费霞
吉顺飞
陈程
冯嘉伦
魏甜甜

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M Group: 雷达与遥感智能系统
博士研究生：
范晓龙
寇经纬
李娜
张元侨
赵宏宇
赵奕哲
硕士研究生：
黄俞婷
杨波
张斯佳
张雨静
陈强
李嘉恒
王钟书
吴镇宇
徐泽琨
姚传宇

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以往成员
PhD Students:
Tao Zhan (2014.8~2017.3, 2017.3~2019.12, combined master and doctor degree, Employment: Xidian University)
Puzhao Zhang (2013.8~2015.3, 2015.3~2019.12, combined master and doctor degree, Employment: Xidian University)
Shuang Liang (2012.8~2014.3, 2014.3~2019.12, combined master and doctor degree, Employment: Xidian University)
Zhao Wang (2012.8~2013.8, 2013.8~2019.5, combined master and doctor degree, Employment: Xidian University)
Hao Li (2013.8~2018.12, combined master and doctor degree, Employment: Xidian University)
Jia Liu (2013.8~2018.12, combined master and doctor degree, Employment: Nanjing University of Science and Technology)
Mingyang Zhang (2012.8~2018.3, combined master and doctor degree, Employment: Xidian University)
Shanfeng Wang (2012.8~2017.12, combined master and doctor degree, Employment: Xidian University)
Yue Wu (2011.8~2016.6, combined master and doctor degree, Employment: Xidian University)
Lijia Ma (2010.8~2015.12, combined master and doctor degree, Employment: Hong Kong Baptist University)
Qing Cai (2010.8~2015.3, combined master and doctor degree, Employment: Hong Kong Baptist University)

MSc Students:
Yingying Duan (2016.8~2019.6, Employment: Huawei, Xi\\\\\\\\\\'an )
Yishun Mao (2016.8~2019.6, Employment: Sogou, Bejing )
Xudong Niu (2016.8~2019.6, Employment: Jingdong, Beijing)
Qixiang Wang (2016.8~2019.6, Employment: Huawei, Xi\\\\\\\\\\'an)
Yuelei Yang (2016.8~2019.6, Employment: Maoyan, Beijing )
Tianle Zhang (2016.8~2019.6, Employment: Alibaba, Hangzhou)
Yuze Zhang (2016.8~2019.6, Employment: Beijing Chuangxin Tourism Internet Tech Co.,Ltd., Bejing)
　
Yangzhi Guo (2015.8~2018.6, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Chao Lei (2015.8~2018.6, Employment: Alibaba, Hangzhou)
Chaoliang Li (2015.8~2018.6, Employment: Sogou, Beijing)
Quanlin Li (2015.8~2018.6, Employment: China Merchants Bank, Shanghai)
Zheng Li (2015.8~2018.6, Employment: ZTE, Shanghai)
Chao Song (2015.8~2018.6, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Congcong Wang (2015.8~2018.6, Employment: Vivo, Shenzhen)
Yixing Wang (2015.8~2018.6, Employment: DiDi, Beijing)
Zhirui Wang (2015.8~2018.6, Employment: Infervision, Beijing)
Tian Xie (2015.8~2018.6, Employment: Alibaba, Hangzhou)
Jianan Yan (2015.8~2018.6, Employment: Alibaba, Hangzhou)
Kun Zhao (2015.8~2018.6, Employment: t: JD.com, Be, Beijing)

Qian Wang (2014.9~2017.6, Employment: Baidu, Beijing)
Junwei Yang (2014.9~2017.6, Employment: Baidu, Beijing)
Xiaolei Qin (2014.9~2017.6, Employment: Huawei Technologies Co., Ltd. Nanjing)
Qiunan Zhao (2014.9~2017.6, Employment: Huawei Technologies Co., Ltd. Shenzhen)
Lanqiang Chen (2014.9~2017.6, Employment: Meituan, Beijing)
Haoliang Li (2014.9~2017.6, Employment: Guazi, Beijing)
Hailun Yang (2014.9~2017.6, Employment: Guazi, Beijing)
Sitian Li (2014.9~2017.6, Employment: China Electronic Technology Corporation 20 Institute, Xi\\\\\\\\\\'an)
Hao Xu (2014.9~2017.6, Employment: Shaanxi Changling Electronic Technology Co., Ltd. Baoji)

Bo Shen (2013.8~2016.1, Employment: Baidu, Beijing)
Enhu Luo (2013.8~2016.1, Employment: Qihoo 360 Technology, Shenzhen)
Jiulin Zeng (2013.8~2016.1, Employment: Tencent Technology Co., Ltd. Shenzhen)
Guanjun Li (2013.8~2016.1, Employment: Huawei Technologies Co., Ltd. Xi’an)
Zhenglin Peng (2013.8~2016.1, Employment: Huawei Technologies Co., Ltd. Wuhan)
Shasha Ruan (2013.8~2016.1, Employment: Alibaba, Hangzhou)
Chao Duan (2013.8~2016.1, Employment: Netease, Hangzhou)
Fuyan Yuan (2013.8~2016.1, Employment: Genture Information Industry Co., Ltd. Nanjing)
　
Jiaojiao Zhao (2012.8~2015.1, Employment: Panasonic Research Institute, Singapore)
Yixiang Sun (2012.8~2015.1, Employment: Baidu, Beijing)
Chi Wang (2012.8~2015.1, Employment: Alibaba, Hangzhou)
Xiang Zhang (2012.8~2015.1, Employment: Millet Technology Co., Ltd., Beijing)
Qiao Wang (2012.8~2015.1, Employment: Xingtang Communications Technology Co., Ltd., Beijing)
Chenyang Zhao (2012.8~2015.1, Employment: China TravelSky Technology Limited, Beijing)
Qiongzhi Jiang (2012.8~2015.1, Employment: Ping\\\\\\\\\\'an Technology Co Ltd, Shanghai)
Pei Zhong (2012.8~2015.1, Employment: Ramaxel Technology Co, Ltd., Suzhou)
Changqi Xue (2012.8~2015.1, Employment: Huawei Technologies Co., Ltd, Shenzhen)
Jing Lv (2012.8~2015.1, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Yongqiang Chan (2012.8~2015.1, Employment: Huawei Technologies Co., Ltd, Shenzhen)
　
Xiaowei Chen (2011.8~2014.3, Employment: Alibaba Group-Alipay, Hangzhou)
Baolin Huang (2011.8~2014.3, Employment: Alibaba Group-Taobao, Hangzhou)
Shengmeng Zhao (2011.8~2014.3, Employment: Alibaba Group-Taobao, Hangzhou)
Jie Liu (2011.8~2014.3, Employment: Huawei Technologies Co., Ltd, ShenZhen)
Bo Sun (2011.8~2014.3, Employment: Coolpad, Xi\\\\\\\\\\'an)
Dayong Tian (2011.8~2014.3, Employment: University of Technology, Sydney)
Nana Sun (2011.8~2014.3, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Shu Kang (2011.8~2014.3, Employment: C&W Group, Beijing)
　
Yan Liang (2010.8~2013.3, Employment: China Aerospace Corporation 804 Institute, Shanghai)
Wei Li (2010.8~2013.3, Employment: Baidu, Beijing)
Lu Zhai (2010.8~2013.3, Employment: Shanxi Regional Electric Power Group Co., LTD., Xi\\\\\\\\\\'an)
Jun Zhang (2010.8~2013.3, Employment: SHAANXI HUANGHE GROUP CO., LTD, Xi\\\\\\\\\\'an)
Ji Jia (2010.8~2013.3, Employment: Coolpad, Xi\\\\\\\\\\'an)
Bingjie Yu (2010.8~2013.3, Employment: China Unicom, Fuzhou)
Ying Jie (2010.8~2013.3, Employment: C&W Group, Beijing)
Jiangfeng Wang (2010.8~2013.3, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Wei Zheng (2010.8~2013.3, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
Mo Chen (2010.8~2013.3, Employment: Huawei Technologies Co., Ltd, Xi\\\\\\\\\\'an)
　
Lingjun Zhang (2009.8~2012.3, Employment:CETC)
Tian Hou (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Zhiqiang Zhou (2009.8~2012.3, Employment: Hikvision)
Yanhui Wang (2009.8~2012.3, Employment: DT-linkTech)
Lei Fu (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Jian Zhang (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Yantao Wang (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Bao Fu (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Yu Cao (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
Tingting Duan (2009.8~2012.3, Employment: Huawei Technologies Co., Ltd)
　
Zhi Zheng (2008.8~2011.3, Employment: Vanderbilt University, USA)
Fang Liu (2008.8~2011.3, Employment: Nanyang Technological University, Singapore)
Qiaodi Wu (2008.8~2011.3, Employment: Mindray, Shenzhen)
　
Kang Zhang (2007.8~2010.3, Employment: ZTE, Xian)
Gang Cheng (2007.8~2010.3, Employment: ZTE, Xian)
Chao Liu (2007.8~2010.3, Employment: ZTE, Xian)
Yinan Gao (2007.8~2010.3, Employment: Space China 771 Institute, Xian)
Meng Ma (2007.8~2010.3, Employment: Space China 631 Institute, Xian)
Xiaohui Jin (2007.8~2010.3, Employment: H3C, Hangzhou)
　
Lining Zhang (2006.8~2009.3, Employment: Nanyang Technological University, Singapore)
Jie Yang (2006.8~2009.3, Employment: ZTE, Xian)
Xi Li (2006.8~2009.3, Employment: ZTE, Shenzhen)

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研究课题
通过分析、模拟人脑的认知机理和自然系统的智能行为和机制，构造相应的学习与优化模型，借助先进的计算工具实现高效的计算智能方法，并用于解决实际工程问题，一直是人工智能研究的重要途径。美国普林斯顿高等研究院、卡耐基梅隆大学等机构的研究人员2011年发表在《Science》的论文指出，从生物启发的角度可以建立简单、高效的算法。IBM的研究人员发表在《Science》的论文认为，通过模拟生物可以建立非常高效的计算机算法。
特别是近年来网络、遥感、医疗、生物等大数据的处理给计算机科学带来了很多挑战。一些陆续在主流刊物发表的研究成果表明，以深度神经网络和演化计算为代表的计算智能方法可以为大数据处理提供有效的途径。
利用计算智能方法高效求解大数据分析中的学习与优化问题是OMEGA的主要研究目标。OMEGA团队从建立鲁棒的计算智能模型入手，进一步提出了高效的大规模优化和多目标优化方法，并用于网络大数据分析中的关键问题。
近年来，随着雷达、红外、光电等各种传感器的综合使用，遥感数据的规模、维度和复杂性都快速增长。在遥感数据中，包含空间和时间信息的空时影像数据是主要的数据类型。空时影像数据的海量、高维、非结构化特点给遥感知识的提取与应用带来了挑战。特别是多种传感器获得的空时影像具有不同的结构和特点。如合成孔径雷达(SAR)影像中存在固有的相干斑、光学影像中含有大量的云雾遮挡、高光谱影像中存在混合像元现象等。这些不同的特点使得多源空时影像的联合解译存在更大的难度。人们花费巨大代价通过多种星载/机载传感器获取的海量空时影像如何有效利用既是提高遥感综合应用能力的关键问题，也给信息科学领域带来了难题与挑战。多时相、多源空时影像联合解译的困难，与用户对遥感知识的迫切需求之间形成了突出矛盾。其瓶颈之一是如何高效求解空时影像联合解译中的学习与优化问题。如何借鉴人脑的认知机理，发展面向海量、多时相、多源空时影像解译的计算智能模型与算法，为空时影像的联合解译与综合应用提供高效方法，是OMEGA团队当前研究的主要科学问题。
在国家高层次人才特殊支持计划、国家重点研发计划、国家自然科学基金、陕西省重点研究计划等项目的支持下，OMEGA团队目前主要进行以下课题的研究：
计算智能基础理论与方法（进化优化与学习、深度神经网络学习、模糊推理与决策）
基于计算智能的网络大数据分析（网络结构分析、隐私保护与取证）
基于计算智能的雷达与遥感影像深度解译（特征学习、配准、变化检测与分析）
数据挖掘与图像理解中的其它关键问题

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学术论文
OMEGA已发表SCI检索论文100余篇，其中50余篇发表在IEEE期刊上，被引用10000余次，获国家发明专利授权30余项。
部分著作见：http://see.xidian.edu.cn/faculty/mggong/publication.htm
代表性论文：Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang. Evolutionary Multitasking with Dynamic Resource Allocating Strategy. IEEE Transactions on Evolutionary Computation, 2019, in press.
Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang. Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Transactions on Evolutionary Computation, 2018, in press.
Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao. Decomposition-Based Evolutionary Multi-objective Optimization to Self-paced Learning. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 2, 2019: 288-302.
Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu. A Multi-objective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 2, 2017: 234-248.
Maoguo Gong, Zhao Wang, Zexuan Zhu, Licheng Jiao.A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, 2017: 878-897.
Qing Cai, Maoguo Gong, Shasha Ruan, Qiguang Miao, Haifeng Du. Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach. IEEE Transactions on Evolutionary Computation, Vol. 19, No. 6, 2015: 903-916.
Maoguo Gong, Qing Cai, Xiaowei Chen, Lijia Ma. Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition. IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, 2014: 82-97.
Jia Liu, Maoguo Gong, AK Qin, Kay Chen Tan. Bipartite Convolutional Neural Network for Unsupervised Image Change Detection. IEEE Transactions on Neural Networks and Learning Systems, 2019, in press.
Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li. Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 6, 2018: 2450-2463.
Jia Liu, Maoguo Gong, Kai Qin, Puzhao Zhang. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 3, 2018: 545-559.
Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 1, 2016: 125-138.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 12, 2015: 3263-3277.
Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang. Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets. IEEE Transactions on Fuzzy Systems, Vol. 24, No. 5, 2016: 1176-1192.
Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen. Fuzzy Clustering with Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images. IEEE Transactions on Fuzzy Systems, Vol. 22, No. 1, 2014: 98-109.
Maoguo Gong, Chao Song, Chao Duan, Lijia Ma, Bo Shen. An Efficient Memetic Algorithm for Influence Maximization in Social Networks. IEEE Computational Intelligence Magazine, Vol. 11, No. 3,2016: 22-33.
Yi Zuo, Maoguo Gong, Jiulin Zeng, Lijia Ma, Licheng Jiao. Personalized Recommendation based on Evolutionary Multi-objective Optimization. IEEE Computational Intelligence Magazine, Vol. 10, No. 1,2015: 52-62.
Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Pareto Self-paced Learning based on Differential Evolution. IEEE Transactions on Cybernetics, 2019, in press.
Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan. Multi-objective Sparse Nonnegative Matrix Factorization. IEEE Transactions on Cybernetics, Vol. 49, No. 8, 2019: 2941-2954.
Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 5, 2019: 2669-2688.
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban. Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 4, 2018: 2277-2289.
Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li. A Two-phase Multi-objective Sparse Unmixing Approach for Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 1, 2018: 508-523.
Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao. Superpixel-based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, 2017: 2658-2673.
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu. Coupled Dictionary Learning for Change Detection from Multi-source Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, 2016: 7077-7091.
Maoguo Gong, Mingyang Zhang, Yuan Yuan. Unsupervised Band Selection Based on Evolutionary Multi-objective Optimization for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 1, 2016: 544-557.
Yu Li, Maoguo Gong, Licheng Jiao, Lin Li, Rustam Stolkin. Change-detection Map Learning using Matching Pursuit. IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, 2015: 4712-4723.
Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang Wang. A Novel Coarse-to-Fine Scheme for Automatic Image Registration based on SIFT and Mutual Information. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 7, 2014: 4328-4338.
Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu. A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, No.1, 2019: 321-333.
Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma. Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation. IEEE Transactions on Image Processing, Vol. 22, No. 2, 2013: 573-584.
Maoguo Gong, Zhiqiang Zhou, Jingjing Ma. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering. IEEE Transactions on Image Processing, Vol. 21, No. 4, 2012: 2141-2151.

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招生信息
OMEGA是精诚团结、积极上进的团队，我们的目标是打造业界知名的研究团队。我个人最主要的人生志向之一是培养优秀的研究生，欢迎有志青年报考我的博士研究生和硕士研究生，与我并肩战斗、共同进步。报考前可提前和我联系。
OMEGA团队隶属电子工程学院，硕士和博士招生专业为国家重点学科“电子科学与技术”（全国排名第一）。
团队每年计划招3～4名博士、12～15名学术型硕士和8～10名专业型硕士；接收外校保送生名额不限。
考生需具有较好的数学基础、较好的编程能力（MATLAB、C/C++）、较好的英文水平。
如果本科期间参加过数学建模竞赛、电子设计竞赛或者程序设计竞赛，录取时会优先考虑。
考生需积极主动，有坚韧不拔的毅力。
建议具有以下特点的同学不要选择OMEGA团队：混学位的、消极厌世的、不思进取的、思维僵化的、依赖性强的。
可以到http://see.xidian.edu.cn/faculty/mggong/teaching.htm查看每一个往届学生的就业情况。
与我联系的最佳方式是Email。
如果需要见面，请提前通过Email和我预约。
在联系我之前，请确认对我的研究方向感兴趣，可访问我的科研主页，查看我的详细信息：http://see.xidian.edu.cn/faculty/mggong/ 或 http://web.xidian.edu.cn/mggong/。


最新公告

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2019年9月9日关于2020年研究生招生的说明：
欢迎优秀本科生通过推免硕士研究生或推免直博生的方式加入OMEGA团队，目前仍有推免名额。
兴趣是最好的导师，建议联系我之前先对我们的研究方向做一些了解，可在http://web.xidian.edu.cn/mggong/找到相关介绍，欢迎对人工智能、大数据分析和图像处理感兴趣的同学加入OMEGA团队。
理想是前进的动力，欢迎喜欢从事科学研究、算法设计、软件系统开发，有志成为科学家、算法设计师、软件工程师的同学加入OMEGA团队，志同道合的人在一起才有凝聚力。
认为在团队管理上有兴趣和专长的同学也欢迎加入OMEGA团队。
混学位的、消极厌世的、不思进取的同学建议不要联系我。

每周二上午三四节我会在信远楼一区211教室讲授《人工智能》课程，感兴趣的同学可以去教室与我当面交流。
公茂果
2019.9.9

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联系方式
联系人：公茂果
通信地址：西安电子科技大学224信箱，邮编：710071
快递地址：西安市太白南路2号，西安电子科技大学北门主楼
Email：mggong@mail.xidian.edu.cn (招生咨询)、gong@ieee.org (科学研究)（研究生推免、优研、招生事宜务必抄送至张明阳老师myzhang@xidian.edu.cn；科研合作相关事宜务必抄送至武越老师ywu@xidian.edu.cn；应聘工作相关事宜务必抄送至王善峰老师sfwang@xidian.edu.cn）
办公地点：北校区主楼III区306

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About OMEGA
OMEGA is a collaborative innovation center for Computational Intelligence (CI), established jointly by CI reseachers from Xidian University & Northwestern Polytechnical University, Xi'an, China. In 2012, OMEGA was appointed as the Innovative Research Team of Shaanxi Province, China.
'OMEGA' means 'Optimization and Mining Knowledge via Artificial Intelligence'. OMEGA dedicates to pursuing fundamental research and engineering application of Computational Intelligence methods to creating innovative solutions. The special interests of OMEGA include
CI Model and Algorithm (Evolutionary Optimization, Deep Network Learning, Fuzzy Information Processing)
CI-based Network Analytics (Network Structure, Network Robustness, Network Prediction)
CI-based Radar and Remote Sensing Image Understanding (Registration, Feature Learning, Change Detection)
Various Real-world Applications
Currently, there are four full-time members, three visiting reseachers, seventeen PhD students and over tweenty master students in the OMEGA. The founding and current head of OMEGA is Prof. Maoguo Gong.

Selected Publications
Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang. Evolutionary Multitasking with Dynamic Resource Allocating Strategy. IEEE Transactions on Evolutionary Computation, 2019, in press.
Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang. Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Transactions on Evolutionary Computation, 2018, in press.
Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao. Decomposition-Based Evolutionary Multi-objective Optimization to Self-paced Learning. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 2, 2019: 288-302.
Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu. A Multi-objective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 2, 2017: 234-248.
Maoguo Gong, Zhao Wang, Zexuan Zhu, Licheng Jiao.A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, 2017: 878-897.
Qing Cai, Maoguo Gong, Shasha Ruan, Qiguang Miao, Haifeng Du. Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach. IEEE Transactions on Evolutionary Computation, Vol. 19, No. 6, 2015: 903-916.
Maoguo Gong, Qing Cai, Xiaowei Chen, Lijia Ma. Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition. IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, 2014: 82-97.
Jia Liu, Maoguo Gong, AK Qin, Kay Chen Tan. Bipartite Convolutional Neural Network for Unsupervised Image Change Detection. IEEE Transactions on Neural Networks and Learning Systems, 2019, in press.
Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li. Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 6, 2018: 2450-2463.
Jia Liu, Maoguo Gong, Kai Qin, Puzhao Zhang. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 3, 2018: 545-559.
Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 1, 2016: 125-138.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 12, 2015: 3263-3277.
Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang. Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets. IEEE Transactions on Fuzzy Systems, Vol. 24, No. 5, 2016: 1176-1192.
Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen. Fuzzy Clustering with Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images. IEEE Transactions on Fuzzy Systems, Vol. 22, No. 1, 2014: 98-109.
Maoguo Gong, Chao Song, Chao Duan, Lijia Ma, Bo Shen. An Efficient Memetic Algorithm for Influence Maximization in Social Networks. IEEE Computational Intelligence Magazine, Vol. 11, No. 3,2016: 22-33.
Yi Zuo, Maoguo Gong, Jiulin Zeng, Lijia Ma, Licheng Jiao. Personalized Recommendation based on Evolutionary Multi-objective Optimization. IEEE Computational Intelligence Magazine, Vol. 10, No. 1,2015: 52-62.
Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Pareto Self-paced Learning based on Differential Evolution. IEEE Transactions on Cybernetics, 2019, in press.
Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan. Multi-objective Sparse Nonnegative Matrix Factorization. IEEE Transactions on Cybernetics, Vol. 49, No. 8, 2019: 2941-2954.
Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 5, 2019: 2669-2688.
Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban. Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 4, 2018: 2277-2289.
Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li. A Two-phase Multi-objective Sparse Unmixing Approach for Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 1, 2018: 508-523.
Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao. Superpixel-based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, 2017: 2658-2673.
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu. Coupled Dictionary Learning for Change Detection from Multi-source Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, 2016: 7077-7091.
Maoguo Gong, Mingyang Zhang, Yuan Yuan. Unsupervised Band Selection Based on Evolutionary Multi-objective Optimization for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 1, 2016: 544-557.
Yu Li, Maoguo Gong, Licheng Jiao, Lin Li, Rustam Stolkin. Change-detection Map Learning using Matching Pursuit. IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, 2015: 4712-4723.
Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang Wang. A Novel Coarse-to-Fine Scheme for Automatic Image Registration based on SIFT and Mutual Information. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 7, 2014: 4328-4338.
Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu. A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, No.1, 2019: 321-333.
Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma. Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation. IEEE Transactions on Image Processing, Vol. 22, No. 2, 2013: 573-584.
Maoguo Gong, Zhiqiang Zhou, Jingjing Ma. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering. IEEE Transactions on Image Processing, Vol. 21, No. 4, 2012: 2141-2151.


About Maoguo Gong
Dr. Maoguo Gong received the B. Eng degree and Ph.D. degree from Xidian University. Since 2006, he has been a teacher of Xidian University. He was promoted to associate professor and full professor in 2008 and 2010, respectively, both with exceptive admission.
Gong’s research interests are broadly in the area of computational intelligence, with applications to optimization, learning, data mining and image understanding. He has published over one hundred papers in journals and conferences, and holds over twenty granted patents as the first inventor. He is leading or has completed over ten projects as the Principle Investigator, funded by the National Natural Science Foundation of China, the National Key Research and Development Program of China, and others. He was the recipient of the prestigious National Program for Support of the Leading Innovative Talents (selected by the Central Organization Department of China), the Leading Innovative Talent in the Science and Technology (selected by the Ministry of Science and Technology of China), the Excellent Young Scientist Foundation (selected by the National Natural Science Foundation of China), the New Century Excellent Talent in University (selected by the Ministry of Education of China), the Young Teacher Award by the Fok Ying Tung Education Foundation, and the National Natural Science Award of China.
He is the Executive Committee Member of Chinese Association for Artificial Intelligence, Senior Member of IEEE and Chinese Computer Federation, Associate Editor or Editorial Board Member for over five journals including the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Neural Networks and Learning Systems.

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Contact information:
Address: No. 2 South Taibai Road, Xi'an, China
Email: gong@ieee.org