删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

北京交通大学导师教师师资介绍简介-陈为

本站小编 Free考研考试/2020-05-08

基本信息 办公电话: 电子邮件: weich@bjtu.edu.cn
通讯地址:思源楼902 邮编:100044

教育背景 *2009~2013 英国剑桥大学,获得计算机科学专业博士学位
*2006~2009 北京邮电大学,获得通信与信息系统硕士学位
*2002~2006 北京邮电大学,获得通信工程学士学位

我们致力于无线通信、信号处理、人工智能等领域的研究,承担多项国家级和省部级项目,与多所国际知名企业开展项目合作;
每年招收若干硕士、博士研究生,提供所有学生助研津贴,推荐优秀博士生赴海外著名大学访学、企业研究院实习;
有意向保研、直博的学生请提前和我联系(隶属电信学院无线一组/现代通信研究所);
欢迎有兴趣的本科生进入实验室实习。

指导的毕业生去向包括:工作(外交部、中国移动、华为3Com等)、出国深造(美国斯坦福大学、南加州大学等)
News:
2020.01 张量信号去噪算法相关论文被IEEE Trans. on Signal Processing接收
2019.10 获得CCF-腾讯犀牛鸟基金卓创奖
2019.09 张量信号恢复非凸优化算法相关论文被IEEE Trans. on Signal Processing接收
2019.08 动态网络优化采样算法相关论文被IEEE Trans. on Network Science and Engineering接收
2019.07 海量机器通信接入相关论文被IEEE GLOBECOM 2019接收
2019.06 深度学习与海量机器通信接入相关论文被IEEE VTC 2019 Fall接收

工作经历 现任职:
*北京交通大学,教授,博士生导师
*北京交通大学,国家重点实验室,轨道交通信息通信研究室,副主任
*北京交通大学,电子信息工程学院,现代通信研究所,副所长
曾任职:
*英国剑桥大学,Research Associate (博士后)


研究方向 宽带移动通信系统与专用移动通信
招生专业 信息与通信工程硕士
信息与通信工程博士
科研项目 在研项目:

1. 国家重点研发计划战略性国际科技创新合作重点专项:智慧城市云计算平台及服务关键技术研究(北交大部分),主持
2. 国家自然科学基金面上项目:基于结构化稀疏模型的张量压缩感知研究,主持
3. 国家自然科学基金委员会与英国皇家学会合作交流项目:面向张量补全和分解的可扩展算法研究,主持
4. 广东省重点领域研发计划:B5G新型接入与传输技术研究与验证(子任务),主持
5. 北京市自然科学基金面上项目:能量采集无线传感器网络的能量中性技术研究:一种基于分布式压缩感知的方法,主持
6. VIVO科研合作项目,主持
已结题项目:包括国家自然科学基金青年项目、CCF-腾讯犀牛鸟创意基金等





合作导师:
剑桥大学Ian Wassell
伦敦大学学院Miguel Rodrigues
巴斯大学Xi Chen
微软David Wipf
北京交通大学钟章队教授、艾渤教授、王公仆教授等

教学工作 主讲课程:本科主干课程《无线通信基础》(英文)、研究生课程《物联网与智能信息处理》、留学生课程《随机过程》(英文)

指导研究生
2019年入学:王思远、乔建森、白宇安
2018年入学:宫啸(博、期刊论文1篇、会议论文1篇)、张博文(专利2篇))、许佳龙(博、会议论文1篇)

2017年入学:肖寒(会议论文2篇、专利1篇)、李玓
2016年入学:涂淑琪(专利1篇)、白艳娜(博,会议论文1篇、专利1篇)
2015年入学:祁佳明(期刊论文1篇、会议论文1篇)、宋楠(会议论文2篇、校级优秀硕士学位论文)
2014年入学:肖帆(会议论文1篇、专利1篇)
论文/期刊 通讯/第一作者期刊论文:
Xiao Gong, Wei Chen*,Jie Chen,"A Low-rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising,"IEEETransactions onSignal Processing (TSP),68(), pp.1168-1180,2020.

Wei Chen*, Xiao Gong, Nan Song,"Nonconvex Robust Low-Rank Tensor Reconstruction via an Empirical Bayes Method,"IEEETransactions onSignal Processing (TSP), 67(22), pp.5785-5797,2019.
Wei Chen*,"Simultaneously Sparse and Low-Rank Matrix Reconstruction via Nonconvex and Nonseparable Regularization,"IEEE Transactions onSignal Processing (TSP), 66(20), pp.5313-5323,2018. Download Matlab Code
Jiaming Qi,Wei Chen*,"Learning a Discriminative Dictionary for Classification with Outliers,"ElsevierSignal Processing, vol.152, pp.255-264, 2018.
Wei Chen*,"Simultaneous Sparse Bayesian Learning With Partially Shared Supports,"IEEE Signal Processing Letters(SPL),24(11), pp.1641-1645, 2017.
Xin Ding, Wei Chen*, Ian Wassell, "Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing,"IEEE Transactions on Signal Processing (TSP),65(14), pp. 3632-3646,2017.
Xin Ding, Wei Chen*, Ian Wassell, "Compressive Sensing Reconstruction for Video: an Adaptive Approach Based on Motion Estimation,"IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),27(7), pp. 1406-1420,2017.
Wei Chen*, David Wipf, Yu Wang, Yang Liu, Ian Wassell, "Simultaneous Bayesian Sparse Approximation With Structured Sparse Models," IEEE Transactions onSignal Processing (TSP), 64(23), pp. 6145-6159, 2016.Download Matlab Code
Wei Chen*, Ian Wassell, "Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks,"IEEE Transactions on Signal Processing(TSP), 64(9), pp. 2314-2323, 2016.
Wei Chen*, Ian Wassell, "A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems," IEEE Transactions on Wireless Communications(TWC), 15(2), pp.1282-1292, 2016.
Wei Chen*, Ian Wassell, "Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks," IEEE Transactions on Vehicular Technology(TVT), 65(2), pp.827-836, 2016.
Wei Chen*, Ian Wassell, Miguel Rodrigues, "Dictionary Design for Distributed Compressive Sensing,"IEEE Signal Processing Letters(SPL), 22(1), pp.95-99, 2015.
Wei Chen*, Miguel Rodrigues, Ian Wassell, "Projection design for statistical compressive sensing: a tight frame based approach,"IEEE Transactions on Signal Processing(TSP), 61(8), pp.2016-2029, 2013.
Wei Chen*, Miguel Rodrigues, "Dictionary Learning With Optimized Projection Design For Compressive Sensing Applications,"IEEE Signal Processing Letters(SPL), 20(10), pp.992-995, 2013.
Wei Chen*, Miguel Rodrigues, Ian Wassell, "A Fréchet Mean Approach for Compressive Sensing Data Acquisition and Reconstruction in Wireless Sensor Network," IEEE Transactions on Wireless Communications(TWC), 11(10), pp.3598-3606, 2012.
Wei Chen*, Miguel Rodrigues, Ian Wassell, "On the use of unit-norm tight frames to improve the average MSE performance in compressive sensing applications,"IEEE Signal Processing Letters(SPL), 19(1), pp.8-11, 2012.
Wei Chen*, Ian Wassell, "Energy Efficient Signal Acquisition in Wireless Sensor Networks: A Compressive Sensing Framework," IET Wireless Sensor Systems, 2(1), pp.1-8, 2012. (IET Premium Award)
共同作者期刊论文:
Zhuangkun Wei, Alessio Pagani, Guangtao Fu, Ian Guymer, Wei Chen, Julie McCann, Weisi Guo, "Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform"IEEE Transactions on Network Science and Engineering,2019.
Chunyu Xie, Ce Li, Baochang Zhang, Lili Pan, Qixiang Ye, Wei Chen, "Hierarchical Residual Stochastic Networks for Time Series Recognition" Information Sciences, vol.471, pp.52-63,2019.
Yangqing Li, Changchuan Yin, Wei Chen, Zhu Han, "Approximate Message Passing for Structured Affine Rank Minimization Problem,"IEEE Access,pp. 100093-10107,2017.
Ruisi He, Wei Chen, Bo Ai, Andreas F. Molisch, Wei Wang, Zhangdui Zhong, Jian Yu, Seun Sangodoyin, "On the Clustering of Radio Channel Impulse Responses Using Sparsity-Based Methods,"IEEE Transactions on Antennas and Propagation(TAP), 64(6), pp.2465-2474, 2016.


机器学习A+类会议论文

Yang Liu, Qingchao Chen, Wei Chen,Ian Wassell, "Dictionary Learning Inspired Deep Network for Scene Recognition" The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), Lousiana, USA, Feb. 2018.
Wei Chen, Nan Song, "Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach" International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017.
Yang Liu, Wei Chen, Qingchao Chen, Ian Wassell, "Support Discrimination Dictionary Learning for Image Classification" European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell, "Multi-Task Learning for Subspace Segmentation," International Conference on Machine Learning (ICML), Lille, France, July 2015.
Yu Wang, David Wipf, Jeong Min Yun, Wei Chen, Ian J. Wassell, "Clustered Sparse Bayesian Learning," The Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, Netherlands, July 2015.
信号/图像处理、通信会议论文
Han Xiao, Bo Ai, Wei Chen, "Grant-free Massive Machine-Type Communications With Backward Activity Detection," IEEE Global Communications Conference (GLOBECOM), Hawaii, USA, Dec 2019.
Yanna Bai, Bo Ai, Wei Chen, "Deep Learning Based Fast Multiuser Detection for Massive Machine-Type Communication," IEEE Vehicular Technology Conference (VTC), Honolulu, Hawaii, USA, Sept. 2019.
Han Xiao, Bo Ai, Wei Chen, "A Grant-free Access and Data Recovery Method for Massive Machine-Type Communications,"IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.
Xiao Gong, Wei Chen, "Multi-spectral Image Denoising With Shared Dictionaries and Low-rank Representation" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
Wei Chen, "A Nonconvex Algorithm for Simultaneously Sparse and Low-Rank Matrix Reconstruction," 2018 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, California, US, Nov. 2018.
Nan Song, Kezhi Li, Wei Chen, "Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018.
Jiaming Qi, Wei Chen, "A Flexible Dirty Model Dictionary Learning Approach for Classification,"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),Calgary, Canada, April 2018.
Wei Chen, Fan Xiao, "Optimized Pilot Design for Joint Compressive Sensing Multi-user and Channel Detection in Massive MTC," The2nd International Workshop on Non-Orthogonal Multiple Access Techniques for 5G, IEEE Global Communications Conference (GLOBECOM), Singapore, Dec 2017.

Wei Chen, Ian Wassell, "Bayesian Learning For The Type-3 Joint Sparse Signal Recovery," IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016.
Xin Ding, Wei Chen, Ian Wassell, "Nonconvex Compressive Sensing Reconstruction For Tensor Using Structures In Modes" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.
Wei Chen, Ian Wassell, "Variational Bayesian Algorithm For Distributed Compressive Sensing," IEEE International Conference on Communications (ICC), London, UK, June 2015.
Xin Ding, Wei Chen, Ian Wassell, "Sparsity-fused Kalman Filtering for Reconstruction of Dynamic Sparse Signals," IEEE International Conference on Communications (ICC), London, UK, June 2015.

Wei Chen, Ian Wassell, "Compressive Sleeping Wireless Sensor Networks With Active Node Selection," IEEE Global Communications Conference (GLOBECOM), Austin, USA, Dec 2014.
Xin Ding, Wei Chen, Ian Wassell, "Generalized-KFCS: Motion Estimation Enhanced Kalman Filtered Compressive Sensing for Video," IEEE International Conference on Image Processing (ICIP), Paris, France, Oct 2014.
Yu Wang, David Wipf, Wei Chen, Ian Wassell, "Exploiting the Convex-Concave Penalty for Tracking: A Novel Dynamic Reweighted Sparse Bayesian Learning Algorithm," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014.
Wei Chen, Yiannis Andreopoulos, Ian Wassell, M. Rodrigues, Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing. IEEE Global Communications Conference (GLOBECOM), Atlanta, USA, Dec. 2013.
Yu Wang, Wei Chen, Ian Wassell, Exploiting Hidden Block Sparsity: Interdependent Matching Pursuit for Cyclic Feature Detection, IEEE Global Communications Conference (GLOBECOM), Atlanta, USA, Dec. 2013.
Wei Chen, Miguel Rodrigues, Ian Wassell, Optimized projections for sensing sparse signals in overcomplete Dictionaries, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012.
Wei Chen, Miguel Rodrigues, Ian Wassell, On the benefit of using tight frames for robust Data transmission and compressive data gathering in wireless sensor networks, IEEE International Conference on Communications (ICC), Ottawa, Canada, Jun. 2012.
Wei Chen, Miguel Rodrigues, Ian Wassell, Distributed compressive sensing reconstruction via common support discovery, IEEE International Conference on Communications (ICC), Kyoto, Japan, Jun. 2011.
Wei Chen, Miguel Rodrigues, Ian Wassell, Penalized L1 minimization for reconstruction of time-varying sparse signals, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
Y. Bai, W. Chen, B. Ai, Z. Zhong, "Contention Based Massive Access Scheme for B5G: A Compressive Sensing Method," International conference on Wireless Communications & Mobile Computing (IWCMC) 5G-EWNAT Workshop, Cyprus, Jun. 2020.
Jialong Xu, Wei Chen, et. al., "Performance Evaluation of Autoencoder for Coding and Modulation in Wireless Communications," 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), Xi'An, Shaanxi, China, Oct. 2019.
Ruisi He, Wei Chen, Bo Ai, Andreas F. Molisch, Wei Wang, Zhangdui Zhong, Jian Yu, "A Sparsity-Based Clustering Framework for Radio Channel Impulse Responses," IEEE Vehicular Technology Conference (VTC), Nanjing, China, May 2016.
Yangqing Li, Saurabh Prasad, Wei Chen, Changchuan Yin, Zhu Han, “An Approximate Message Passing Approach For Compressive Hyperspectral Imaging Using A Simultaneous Low-Rank and Joint-Sparsity Prior,” The 8th Workshop on Hyperspectral Image and Signal Processing: Evolution In Remote Sensing (Whispers) , Los Angeles, USA, Aug. 2016.
Xin Ding, Wei Chen, Ian Wassell, "Block-Based Feature Adaptive Compressive Sensing for Video" The Third International Workshop on Multimedia Communications and Networking (MultiCom), held in conjunction with the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC), Liverpool, UK, October 2015.

Yangqing Li, Wei Chen, Changchuan Yin, Zhu Han, " Approximate Message Passing for Sparse Recovering of Spatially and Temporally Correlated Data," The fourth IEEE International Conference on Communications in China (ICCC), Shenzhen, China, November 2015.
Miao Hu, Zhangdui Zhong, Wei Chen, "Sparse Erroneous Vehicular Trajectory Compression and Recovery Via Compressive Sensing," IEEE International Conference on Mobile Ad hoc and Sensor System (MASS), Philadelphia, USA, Oct. 2014.
Wei Chen, Ian Wassell, Energy Efficient Signal Acquisition via Compressive Sensing in Wireless Sensor Networks, IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Hong Kong, China, Feb. 2011.
W. Chen, T. Luo, F. Sun, D. Liu and G. Yue, “Spatial Multiplexing and Scheduling in Cellular Networks with Relay Stations," in Proc. 70th IEEE Vehicular Technology Conference (VTC), Anchorage, Sep. 2009.
W. Chen, T. Luo, Z. Wang, G. Yue and H. Zheng, “Performance Analysis of Di?erent MIMO Transmission Modes with Link Adaptation," in Proc. IEEE Radio and Wireless Symposium (RWS), San Diego, Jan. 2009.
W. Chen, H. Zheng, Y. Li, S. Zhang and X. Wu, “Beamforming Methods for Multiuser Relay Networks," in Proc. 68th IEEE Vehicular Technology Conference (VTC), Calgary, Sep. 2008.
S. Zhang, Y. Li, W. Chen and X. Wu, “Downlink Channel Estimation Model for 802.16e OFDMA System," in Proc. 68th IEEE Vehicular Technology Conference (VTC), Calgary, Sep. 2008.



专著/译著 Wei Chen, Applications of Machine Learning in Wireless Communications-Chapter 6: Compressive sensing for wireless sensor networks, IET Publisher, 2019
专利
软件著作权
获奖与荣誉 2019 CCF-腾讯犀牛鸟基金“卓创奖”
2017 International Conference on Computer Vision (ICCV) Young Researcher Award
2013 IET Wireless Sensor System Premium Award (for Best Journal Paper)
2013 北京交通大学红果园双百人才支持计划
2011 IEEE ICC Travel Grant

社会兼职 * IEEE 高级会员
* IEEE Access 编委
* IET Signal Processing 编委
* IET Wireless Sensor Systems 编委
* IEEE VTC 2007-Spring, IEEE VTC 2016-Spring, IEEE MASS 2014 技术委员会成员
* 中国电子学会高级会员
* 中国计算机学会(CCF)物联网专委会委员





相关话题/北京交通大学

  • 领限时大额优惠券,享本站正版考研考试资料!
    大额优惠券
    优惠券领取后72小时内有效,10万种最新考研考试考证类电子打印资料任你选。涵盖全国500余所院校考研专业课、200多种职业资格考试、1100多种经典教材,产品类型包含电子书、题库、全套资料以及视频,无论您是考研复习、考证刷题,还是考前冲刺等,不同类型的产品可满足您学习上的不同需求。 ...
    本站小编 Free壹佰分学习网 2022-09-19
  • 北京交通大学导师教师师资介绍简介-范国芳
    基本信息办公电话:电子邮件:gffan@bjtu.edu.cn通讯地址:北京交通大学光波技术研究所邮编:100044教育背景2004年09月2007年07月天津大学博士研究生/博士2001年09月2004年04月天津大学硕士研究生/硕士1996年09月2000年07月江西赣南师范大学本科/学士工作经历2016年10月至今北京交通大学2011年02月2016年10月中国科学院理化技术研究所2008年 ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-董平
    基本信息办公电话:电子邮件:pdong@bjtu.edu.cn通讯地址:北京交通大学电子信息工程学院邮编:100044教育背景1.博士研究生,北京交通大学,200520082.硕士研究生,西南通信研究所,200220053.本科,华中科技大学,19982002工作经历教授博士生导师,北京交通大学电子信息工程学院,2018至今副教授博士生导师,北京交通大学电子信息工程学院,20152018副教授硕士 ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-官科
    基本信息办公电话:**电子邮件:kguan@bjtu.edu.cn通讯地址:北京交通大学轨道交通控制与安全国家重点实验室邮编:100044教育背景博士研究生阶段:2014.022014.07:北京交通大学电子信息工程学院通信与信息系统工学博士学位,导师:钟章队教授2013.082014.02:访问:西班牙马德里理工大学,西班牙,获西班牙经济与竞争力部项目资助,导师:CesarBriso教授2011 ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-高德云
    基本信息办公电话:电子邮件:gaody@bjtu.edu.cn通讯地址:北京市海淀区上园村3号北京交通大学电子信息工程学院邮编:100044教育背景教育经历:1990.91994.7天津大学自动化系,获本科学位;1996.91999.3天津大学自动化学院,获硕士学位;1999.32002.9天津大学电子信息工程学院,获博士学位;工作经历:2002.112003.11香港科技大学,博士后;2004. ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-郜帅
    基本信息办公电话:**电子邮件:shgao@bjtu.edu.cn通讯地址:电子信息工程学院下一代互联网互联设备国家工程实验室邮编:100044教育背景19972001北京交通大学本科20012004北京交通大学硕士20062010北京交通大学博士工作经历2016年至今北京交通大学教授2004年2016年北京交通大学助教讲师副教授2015.22016.2美国亚利桑那大学访问2008.22009.2 ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-何睿斯
    基本信息办公电话:电子邮件:ruisi.he@bjtu.edu.cn通讯地址:北京交通大学9号办公楼929室邮编:100044教育背景教育经历:2009.092015.01,博士,北京交通大学,中国,导师:钟章队2005.092009.07,本科,北京交通大学,中国国际访问经历:2016.082017.08,访问,佐治亚理工学院,美国,Host:Prof.GordonL.Stuber(IEEEFe ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-郭宇春
    基本信息办公电话:电子邮件:ychguo@bjtu.edu.cn通讯地址:邮编:教育背景2002/92008/1年北京交通大学,通信与信息系统专业,获工学博士学位,师从陈常嘉教授。1993/6至今,北京交通大学电子信息工程学院任教,现任教授,博士生导师。2001/112002/9,获得荷兰政府Nuffic奖学金支持,作为国家留学基金委公派访问,在荷兰TechnologyUniversityofDe ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-霍炎
    基本信息办公电话:86电子邮件:yhuo@bjtu.edu.cn通讯地址:北京交通大学土木工程楼415,电子信息工程学院树华无线感知实验室邮编:100044研究兴趣(1)多形异构智联网的物理网络层关键技术:以未来移动通信系统支撑,放眼未来智慧物联中各种设备,针对增强移动宽带型的应用,支持大规模机器类通信场景,具备提供低延迟、高可靠的服务能力,探索智慧物联系统通信层面的关键技术,主要包括:无线通信信 ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-李纯喜
    基本信息办公电话:电子邮件:chxli1@bjtu.edu.cn通讯地址:邮编:教育背景EducationHereceivedhisPh.DdegreeandMasterdegreeincommunicationandinformationsystemfromBeijingJiaotongUniversity(BJTU)inJuly,2010andinMay,1997respectively.Be ...
    本站小编 Free考研考试 2020-05-08
  • 北京交通大学导师教师师资介绍简介-荆涛
    基本信息办公电话:**电子邮件:tjing@bjtu.edu.cn通讯地址:北京交通大学8号办公楼842邮编:100044教育背景1991年7月毕业于国防科技大学电子技术系信息工程专业,获工学学士学位;1994年3月毕业于中科院长春光机所研究生部,获得工学硕士学位;1999年1月毕业于中科院长春光机所研究生部,获得工学博士学位,博士研究方向为:保密通信,论文题目为:混沌序列的神经网络实现方法研究。 ...
    本站小编 Free考研考试 2020-05-08