方勇 教授

办公室：延长校区行健楼1017

通信地址：上海市延长路149号160信箱

邮编：200072

电话：021-56333513（O）, 28611022

电子邮件：yfang@staff.shu.edu.cn






【学术经历】含学历和工作经历

现为上海大学通信与信息工程学院教授，博士生导师；

曾任新加坡南洋理工大学电气与电子工程学院研究员；

曾任香港城市大学电子工程系高级访问学者

1999年获香港城市大学电子工程博士学位。



【研究领域】

盲信号处理、通信信号处理和智能信息系统



【学术成就】

主要致力于盲信号处理在无线通信, 语音及图像处理方面的应用研究, 从事自适应学习控制，神经网络及应用方面的研究, 积累了一批通信信息处理新技术研究成果。在国内外重要学术刊物上发表学术论文30余篇，其中IEEE Transactions上8篇, 申请发明专利一项。2002年度上海市曙光学者，2003年度上海大学十佳杰出青年。



【学术兼职】

IEEE高级会员;

IEEE上海支会秘书;

上海市电子学会计算机应用专业委员副主任;

清华大学出版社国内教材编审委员会委员

电子工业出版社“21世纪高等学校通信类规划教材”编审委员

上海大学学报中、英文版编辑



【科研项目】

1. 上海市教委项目,“多用户通信信道的盲均衡”, 2001,10-2003,9, 主持;

2. 教育部留学回国人员资助项目,“MIMO无线通信信道的盲均衡”, 2002,1-2003,12, 主持;

3. 上海市科委白玉兰基金项目：“盲信号分离算法”, 2004,1-2004,12, 主持;

4. 上海市教委曙光计划项目,“混合语音盲分离技术及新型移动电话研究”， 2003,1-2005,12, 主持;

5. 上海市科委重点项目,“基于人的视觉特性的小波基的图像压缩及传输研究”, 2002,10-2004,9, 参加；

6. 国家自然科学基金，“基于2-D系统理论的盲反卷积算法初始化方法研究”，2005,1-2007,12, 主持。



【讲授课程】

现代信息数学（博士生课程）

通信信号处理（硕士生课程）

电子科学新技术（硕士生课程）

数字信号处理术（本科生课程）

信号与系统（本科生课程）

【研究生培养】

已毕业硕士生：范嘉乐；

在读博士生：朱耀林, 王军华, 刘盛鹏;

在读硕士生：梁越、唐旭辉、王舒翀、张兼、曹文佳、张谨，刘燕华。



【代表性论著】



[1] Y. Fang and Fan Jianle, “Improved Linear Multiuser Detector for Synchronous Code-Division Multiple-Access Communication Systems”, IEEECAS2004, vol..2, pp.787-790.

[2] 方勇, “连续系统的迭代学习控制：可变初始状态下2-D 学习动态分析”, Proceedings of the 5th World Congress Intelligent Control and Automation, vol. 2, pp. 1250-1254, 2004.

[3] 王毅敏,方勇, “任意初始状态下非正则系统的迭代学习控制设计”, 系统工程与电子技术, vol. 26, no. 3, 2004, 364-367.

[4] Yong Fang, “New Neural Network for Multichannel Blind Equalization”，APOC2003, Proceedings of SPIE, vol. 5284, 2004, pp. 155-162.

[5] 范嘉乐,方勇, “DS-CDMA通信系统中基于独立分量分析的盲多用户检测”,信号处理, 2004, no. 2,

[6] Y. Fang and T.W.S. Chow, “2-D analysis iterative learning controller for discrete-time systems with variable initial conditions”, IEEE Trans on Circuits and Systems, Vol. 50, no.5, 722-727, 2003.

[7] Y. Fang et al “Convergence analysis of iterative learning control with uncertain initial condition,” The Fourth World Congress Intelligent Control and Automation, vol. 2, pp. 961-965, 2002.

[8] T.W.S. Chow and Y. Fang, “Neural Blind Deconvolution of MIMO Noisy Channels,” IEEE Trans. On Circuits and Systems. Vol. 48, no.1, pp. 116-120, 2001.

[9] T.W.S. Chow and Y. Fang, “Two-dimensional learning strategy for multilayer feedforward neural network,” Neurcomputing, vol. 34, pp. 195-206, Sep. 2000.

[10] Y. Fang and T.W.S. Chow, “Synthesis of the sliding mode neural network controller for unknown nonlinear discrete-time systems,” International Journal of Systems Science, vol. 31, no. 3, pp. 401-408, 2000.

[11] Y. Fang and T.W.S. Chow, “Orthogonal wavelet neural networks applying to identification of Wiener model,” IEEE Trans. On Circuits and Systems I, vol. 47, no. 4, pp. 591-593, 2000.

[12] Y. Fang and T.W.S. Chow, “Blind equalization of a noisy channel by neural network,” IEEE Trans. on Neural Networks, vol. 10, no. 4, pp. 918-924, 1999.

[13] Y. Fang, T.W.S. Chow and K.T. Ng, “Linear neural network based blind equalization,” Signal Processing, vol. 76, no. 1, pp. 37-42, 1999.

[14] Y. Fang, T.W.S. Chow and X.D. Li, “Use of recurrent neural network in discrete sliding mode control,” IEE Proceedings-Control Theory and Application, vol. 146, no. 1, 84-90, 1999.

[15] T.W.S. Chow and Y. Fang, “A recurrent neural network based real-time learning control strategy applying to nonlinear systems with unknown dynamics,” IEEE Trans. on Industrial Electronics, vol. 45, no. 1, pp. 151-161, 1998.

[16] Y. Fang and T.W.S. Chow, “Iterative learning control of linear discrete-time multivariable system,” Automatica, vol. 34, no. 11, pp. 1458-1462, 1998

[17] Y. Fang and T.W.S. Chow, “Chattering free sliding mode control based on recurrent neural network,” Proceedings of 1998 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 1726-1731, 1998.

[18] T. Tan, Y. Fang and T.W.S. Chow, “Wiener models identification based on the higher-order cumulants and orthogonal wavelet neural networks,” International Journal of Knowledge-based Intelligent Engineering Systems, vol. 3, no. 2, pp. 102-107, April, 1999.

[19] T.W.S. Chow and Y. Fang, “An iterative learning control method for continuous-time systems based on 2-D system theory,” IEEE Trans. on Circuits and Systems, Part I, vol. 45, no. 6, pp. 683-689, 1998.

[20] T. W. S. Tommy, H.-Z. Tan, Y. Fang, "Nonlinear Systems Representations", Encyclopedia of Electrical and Electronic Engineering, Book Chapters ,J. G. Webster (Ed.), John Wiley & Sons, 2001.







Prof. FANG Yong


Office： 1017, Xingjian Bud., Yanchang Campus

Address： 160 Box, School of Communication and Information Engineering, Shanghai University,

149 Yanchang Rd, Shanghai 200072, China

Code： 200072

Tel： 86-21-56333513（O）， 28611022

Email： yfang@staff.shu.edu.cn



【Academic And Professional Qualification and Awards】

2002-present, Professor, School of Communication and Information Engineering, Shanghai University;

2001, Senior Research Assistant, Dept of Electronic Engineering, City University of Hong Kong；

1999-2000, Research Fellow, School of Electrical and Electronic and Engineering, Nanyang Technological University, Singapore;

1999, Ph.D., Electronic Engineering, City University of Hong Kong。



【Research Interest】

Blind Signal Processing, Communication Signal Processing, Adaptive Information System



【Research Activities】

Over 30 technical research papers have been published in journals on theory and technology communication and information, involving blind signal processing and its application in wireless communication, speech and image processing, and adaptive learning control, neural networks and its application. 8 papers of them were published in IEEE Transactions Journals. An invention patent has been applied. He has become a Shuguang Scholar in Shanghai since 2002.



【Academe Sideline】

IEEE Senior Member;

IEEE Shanghai Subsection Secretary;

Vice-Director of Computer Application Branch of Shanghai Electronic Committee;

Member of Editor and Review Committee of Tsinghua University Publishing Company;

Editor of Both Chinese and English Version of Journal of Shanghai University.



【Research Projects】

1. Key project of Shanghai Science and Technology Committee, “Researches on image compression and transfers based on wavelet basis of human visual sensation”, 2002,10-2004,9, Participant;

2. Shuguang Project of Shanghai Education Committee, “Blind division technology for blind speech and researches on updated mobile phone”, 2003,1-2005,12, Leader;

3. Bai-yu-lan Funding project of Shanghai Science and Technology Committee, “Blind Separation algorithm”, 2004,1-2004,12, Leader.

4. Funding project for the Sustentation Fund from Ministry of Education of China, “Blind Equalization of MIMO wireless communication channel”, 2002,1-2003,12, Leader;

5. Project of Shanghai Education Committee, “Blind Equalization of Multiuser Communication Channel”, 2001,10-2003,9, Leader;

6. National Natural Science Foundation of China, “Initialization Method on Blind Deconvolution Algorithm Based on 2-D System Theory”, 2005,1-2007,12, Leader



【Teaching Courses】

Advanced Mathematics in Information Science (for Ph.D students)

Communication Signal Processing (for Master Students)

Updated Technology for Electronics Science (for Master students)

Digital Signal Processing (for Bachelor students)

Signal and System (for Bachelor students)



【Research Student Supervision】

Ph.D student: Zhu Yaolin, Wang Junhua, Liu Shengpeng;

Master student: Fan Jiale, Liang Yue, Tang Xuhui, Wang Shuchong, Zhang Qian, Cao Wenjia, Zhangjin, Liu Yanhua.





【Selected Publications】

[1] Y. Fang and J. Fan, “Improved Linear Multiuser Detector for Synchronous Code-Division Multiple-Access Communication Systems”, IEEECAS2004, vol..2, pp.787-790.

[2] Y. Fang, “Iterative learning control of continuous -time systems: 2-D dynamic analysis for variable initial conditions”, Proceedings of the 5th World Congress Intelligent Control and Automation (in Chinese), vol. 2, pp. 1250-1254, 2004.

[3] Y. Wang and Y. Fang, “Iterative learning control design for irregular linear system with an arbitrary initial state”, System Engineering and Electronic Technology (in Chinese), vol. 26, no. 3, 2004, 364-367.

[4] Yong Fang, “New Neural Network for Multichannel Blind Equalization”，APOC2003, Proceedings of SPIE, vol. 5284, 2004, pp. 155-162.

[5] J. Fan and Y. Fang, “ Blind multiuser detection for DS-CDMA communication systems based on ICA”, Signal Processing (in Chinese), 2004, no. 2.

[6] Y. Fang and T.W.S. Chow, “2-D analysis iterative learning controller for discrete-time systems with variable initial conditions”, IEEE Trans on Circuits and Systems, Vol. 50, no.5, 722-727, 2003.

[7] Y. Fang et al “Convergence analysis of iterative learning control with uncertain initial condition,” The Fourth World Congress Intelligent Control and Automation, vol. 2, pp. 961-965, 2002.

[8] T.W.S. Chow and Y. Fang, “Neural Blind Deconvolution of MIMO Noisy Channels,” IEEE Trans. On Circuits and Systems. Vol. 48, no.1, pp. 116-120, 2001.

[9] T.W.S. Chow and Y. Fang, “Two-dimensional learning strategy for multilayer feedforward neural network,” Neurcomputing, vol. 34, pp. 195-206, Sep. 2000.

[10] Y. Fang and T.W.S. Chow, “Synthesis of the sliding mode neural network controller for unknown nonlinear discrete-time systems,” International Journal of Systems Science, vol. 31, no. 3, pp. 401-408, 2000.

[11] Y. Fang and T.W.S. Chow, “Orthogonal wavelet neural networks applying to identification of Wiener model,” IEEE Trans. On Circuits and Systems I, vol. 47, no. 4, pp. 591-593, 2000.

[12] Y. Fang and T.W.S. Chow, “Blind equalization of a noisy channel by neural network,” IEEE Trans. on Neural Networks, vol. 10, no. 4, pp. 918-924, 1999.

[13] Y. Fang, T.W.S. Chow and K.T. Ng, “Linear neural network based blind equalization,” Signal Processing, vol. 76, no. 1, pp. 37-42, 1999.

[14] Y. Fang, T.W.S. Chow and X.D. Li, “Use of recurrent neural network in discrete sliding mode control,” IEE Proceedings-Control Theory and Application, vol. 146, no. 1, 84-90, 1999.

[15] T.W.S. Chow and Y. Fang, “A recurrent neural network based real-time learning control strategy applying to nonlinear systems with unknown dynamics,” IEEE Trans. on Industrial Electronics, vol. 45, no. 1, pp. 151-161, 1998.

[16] Y. Fang and T.W.S. Chow, “Iterative learning control of linear discrete-time multivariable system,” Automatica, vol. 34, no. 11, pp. 1458-1462, 1998

[17] Y. Fang and T.W.S. Chow, “Chattering free sliding mode control based on recurrent neural network,” Proceedings of 1998 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 1726-1731, 1998.

[18] T. Tan, Y. Fang and T.W.S. Chow, “Wiener models identification based on the higher-order cumulants and orthogonal wavelet neural networks,” International Journal of Knowledge-based Intelligent Engineering Systems, vol. 3, no. 2, pp. 102-107, April, 1999.

[19] T.W.S. Chow and Y. Fang, “An iterative learning control method for continuous-time systems based on 2-D system theory,” IEEE Trans. on Circuits and Systems, Part I, vol. 45, no. 6, pp. 683-689, 1998.

[20] T. W. S. Tommy, H.-Z. Tan, Y. Fang, "Nonlinear Systems Representations", Encyclopedia of Electrical and Electronic Engineering, Book Chapters, J. G. Webster (Ed.), John Wiley & Sons, 2001.