方勇 博士,教授

办公室 / 实验室:

8883新莆京老版本下载宝山校区东区12号楼529 / 数字信号处理实验室,东区12号楼B508

通信地址(邮政编码):

上海市上大路99号8883新莆京老版本下载83信箱(200444

电话:

021-66136306

电子邮件:

yfang@shu.edu.cn

个人主页:

/Prof/fangyong.htm

【职业经历】

8883新莆京老版本下载通信与信息工程学院教授,博士生导师(2002-);

IEEE高级会员(2003-);

8883新莆京老版本下载通信与信息工程学院副院长(2002-2004, 2007-2016);

香港城市大学电子工程系高级访问学者、Research Fellow2001-2002);

新加坡南洋理工大学电气与电子工程学院Research Fellow 1999-2000)。

【教育背景】

香港城市大学博士学位(1999);

南京理工大学硕士学位(1990);

四川师范大学学士学位(1984)。

【学术研究】

研究方向包括通信信号处理、盲信号处理和智能信息系统。主要致力于无线通信信号处理、盲信号处理, 视音频信号处理等方面的基础和应用研究, 在国内外学术刊物会议上发表学术论文300余篇, 授权发明专利近30项。

【荣誉称号】

2002年度上海市曙光学者;

2003年度8883新莆京老版本下载十佳杰出青年;

2005年获上海市优秀学科带头人;

2006年获8883新莆京老版本下载名师奖;

2007年获宝钢优秀教师奖;

2009年获上海市自然科学三等奖;

2011年获上海市优秀教材二等奖;

2018年获得上海市教学成果一等奖(排名第3);

2020年获得国家一流本科课程;

2022年上海市教学成果一等奖(排名第4);

【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。

7.       上海市科委重点项目,“混合语音信号净化处理系统的研制”, 2005,1-2006,7,负责人。

8.       上海市优秀学科带头人计划项目,“非标准条件下的盲源分离技术研究”, 2005,10-2007,9,主持。

9.       2006年度高等学校博士学科点专项科研基金“非标准条件下的盲信号分离研究”, 2007,1-2009,12,主持。

10.   国家自然科学基金,“置换混叠信号的盲检测和分离的理论与应用”,2009,1-2011,12, 主持。

11.   上海市自然科学基金,“3DTV音频再现理论研究”,2008,10-2010,9,负责。

12.   上海市教委科研创新重点项目,“WiMAX快衰落信道估计方法研究”,2009.01-2010.12,主持。

13.   上海市科委白玉兰基金项目:“置换混叠信号的盲检测和分离的理论在图像篡改检测中的应用”, 2011,6-2012,3, 主持。

14.   企业合作项目,“虚拟三维音频重放技术的研发”,2012,10-2014,2,主持。

15.   国家自然科学基金,“OFDM 系统非平稳相关散射突变信道的表示与估计”,2013,1-2016,12, 主持。

16.   上海市科委国际合作项目,“无线体域网物理层高能效传输技术研究”,2013,7-2015,6,主持。

17.   企业合作项目,“移动互联网音视频质量评估和提升技术的研发”,2014,12-2015.5,主持。

18.   教育部博士点基金,“高铁环境下OFDM系统信道压缩表示的ICI消除”,2014,1,1-2016,12,31,主持。

19.   企业合作项目,“高性能信息处理的汽车移动互联平台的设计与实现”2015,12-2017,11,主持。

20.   国家自然科学基金,“非平稳车车散射时变信道下的迭代学习控制研究”,2017,1-2020,12, 主持。

21.   上海市科委重点支撑项目,“球域全景音频关键技术研究”,2016,10-2019,12,主持。

22.   企业合作项目,“面向车辆环境智能无线网络通信研究”2018,10-2021,9,负责。

23.   企业合作项目,“基于云计算的虚拟化管理平台”,2019,12-2021,7,主持。

24.   企业合作项目,“移动端音频播放器多维音质测试和分析”,2019,12-2021,3,主持。

【讲授课程】

现代信息数学(博士生课程)

通信与信息技术进展(硕士生课程)

数字信号处理(本科生课程)(国家一流本科课程,上海市精品课程)

改变世界的数字技术(新生研讨课)

数字信号及处理方法探秘(新生研讨课)

【研究生培养】

已毕业博士生:王明祥(上海豪威),朱耀麟(西安工程大学),刘盛鹏(上海消防研究所),王超(工商银行,上海),张烨(南昌大学),汤永清(浙江丽水学院),王伟(南通大学),周小平(上海师范大学),段新涛(河南师范大学),徐彤阳(山西财经大学),陈琳(上海电力学院);黄立勋(郑州轻工业学院),盛志超(悉尼科技大学),陈鑫(西安工程大学),王琛(便利峰,上海),刘华平(网易,杭州),余鸿文(悉尼科技大学,8883新莆京老版本下载),

已毕业硕士生:范嘉乐(上海贝尔阿尔卡特),梁越(上海无线通信研究中心),唐旭辉(上海华为),张兼(日本早稻田大学博士生),王舒翀(上海大唐电信),曹文佳(上海通用汽车),张瑾(工商银行,上海),刘燕华(上海航天电子);吴美武(起科技,上海),张倩(8883新莆京老版本下载博士生),徐正(日本NEC),肖光华(上海恒翔通信),侯兆然(中国海洋工程),王睿(上海交大博士生),陈涛(中兴通信,上海),石强(上海鼎桥通信),宋波(河南消防),徐叶雷(温州移动),何超(上海华为),余亮(法国里尔大学博士生),刘庆山(成都华为),王冬靓(上海华为),周光荣(上海强生科技),赵维杰(上海华为),颜华超(上海中兴通讯),许广宏(上海通用),顾卿(上海华为),兰宇飞(上海华为),季帅(日本 Fotex公司),杨盛慎(安徽联通),路振龙(上海华为),姜岚(美国西雅图大学),吴舟(上海展讯),李兆元(农业银行,上海),张斌(唯品会,上海),于宗泽(中国银行,上海),陶红波(上海华为),邹禾灿(58同城,上海),陈建新,卜东曜(挖财网络,杭州),雷娅(招银科技,杭州),夏志立(微软,苏州),张佳露(平安科技,上海),史梦杰(网易,杭州),东洋(银联商务,上海),刘昇栋(OPPO 深圳),鲍实(招商银行,上海),刘畅(上海证券交易所),梅苏林(蜜柚科技,上海),古剑峰(上海华为),李辰龙(交通银行,上海),郭登宏(携程,上海),陶浩(招银网络,杭州),李鹏飞(上海阅维科技),徐强荣(浦发银行,上海),朱旭陈(百度,上海),葛宇(淘宝软件,杭州),赵曼琳(B站,上海),肖予乾(OPPO,上海)

在读博士生:朱文博,杨强

在读硕士生:黄强,卫逸鸣,李俊康,顾杨,王春阳,陈玉凤,冯兆怡,赵乾熙,涂琦玉,胡浩,吕明晟,张雨楠,贺建宇

【代表性论著】

[1] Yu Ge, Zhichao Sheng, Yong Fang, and Liming Zhang, An AFD-Based ILC Dynamics Adaptive Matching Method in Frequency Domain for Distributed Consensus Control of Unknown Multiagent SystemsIEEE Transactions on Circuits and Systems I: Regular Papers 2022, SCIPap. 69(8): 3366-3378

[2] H.Yu, H.D.Tuan, A.A.Nasir, M.Debbah, Y.Fang, New generalized zero forcing beamforming for serving more users in energy-harvesting enabled networks, Physical Communication, Feb 2022, Volume 50, February 2022, 101500-101508

[3] Junkang Li, Yong Fang, Liming ZhangA TM-based adaptive learning data-model for trajectory tracking and real-time control of a class of nonlinear systemsIEEE Transactions on Circuits and Systems I: Regular Papers202110 10.1109/TCSI.2021.3118714Manuscript Number:TCAS-I-01076-2021, 2022, 69(2): 859 – 871

[4] W. Zhu , H. D. Tuan , E. Dutkiewicz , Y. Fang , and L. HanzoA New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks IEEE Transactions on Communications20216911):7269-7282.

[5] Li Chenlong, Fang Yong, Sheng Zhichao, Average-ILC-Based for Consensus Tracking of Multi-Agent Systems over Wireless Networks in Presence of Channel Noise and Data DropoutMathematical Problems in Engineering20219606815

[6] Xu Qiangrong, Sheng Zhichao, Fang Yong and Zhang Liming, Measurement Matrix Optimization for Compressed Sensing System with Constructed Dictionary via Takenaka–Malmquist Functions, Sensors, 2021, 214, 12291229.

[7] H. Yu, H. D. Tuan, T. Q. Duong, Y. Fang and L. Hanzo, “Improper Gaussian signaling for integrated data and energy networking,” IEEE Trans. Commun., 2020686):3922-3934.

[8] Xuchen Zhu, Zhichao Sheng, Yong Fang*and Denghong Guo, A Deep Learning-Aided Temporal Spectral ChannelNet for IEEE 802.11p-Based Channel Estimation in Vehicular Communications, EURASIP Journal on Wireless Communications and Networking, 2020,4 DOI: 10.1186/s13638-020-01714-4

[9] H. Yu, H. D. Tuan, T. Q. Duong, Y. Fang, and L. HanzoImproper Gaussian Signaling for Integrated Data and Energy NetworkingIEEE Transactions on Communications(Early Access),2020, Digital Object Identifier: 10.1109/TCOMM.2020.2981332Print ISSN: 0090-6778Online ISSN: 1558-0857

[10] Jianfeng Gu,Yong Fang, Zhichao Sheng and Peng Wen,  Double Deep Q-Network with a Dual-Agent for Traffic Signal Control, Applied Sciences, 2020, 10(1622). Mar 2020. In Applied Sciences· DOI: 10.3390/app10051622

[11] Huaping Liu, Yong FangQinghua HuangEfficient representation of head-related transfer functions with combination of spherical harmonics and spherical waveletsIEEE ACCESS, 2019,778214 – 78222DOI: 10.1109/ACCESS.2019.2921388

[12] Jialu Zhang, Yong Fang , Chenlong Li, and Wenbo Zhu, "Formation Tracking via Iterative Learning Control for Multiagent Systems with Diverse Communication Time-Delays," Mathematical Problems in Engineering, vol. 2019,https://doi.org/10.1155/2019/8164297

[13] Sheng Zhichao;Tuan Hoang Duong;Duon Trung Q.;Poor H. Vincent;Fang Yong Low-Latency Multiuser Two-Way Wireless Relaying for Spectral and Energy EfficienciesIEEE TRANSACTIONS ON SIGNAL PROCESSING 2018,6616):4362-4376,

[14] Lei Ya, Fang Yong and Zhang Liming, A Weighted K-SVD-Based Double Sparse Representations Approach for Wireless Channels Using the Modified Takenaka-Malmquist Basis, IEEE ACCESS, 2018, 654331-54342. DOI: 10.1109/ACCESS. 2018.2869845, Manuscript Number: Access-2018-14359. 2018,9,12

[15] Fang Yong, Gu Jianfeng. A Deep Reinforcement Learning Method for Self-driving, 2018 International Conference on Intelligent Computing (ICIC' 2018) Wuhan, China August 15-18, 2018Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and10955 LNCS143-152

[16] Wang C, Fang Y. Majorization-Minimization-Based Sparse Signal Recovery Method Using Prior Support and Amplitude Information for the Estimation of Time-varying Sparse Channels [J]. KSII Transactions on Internet and Information Systems. 2018, 12(10):4835-4855.

[17] Zhichao Sheng, H. D. Tuan , H. H. Nguyen and Yong FangLow-Latency Multiuser Two-Way Wireless Relaying for Spectral and Energy EfficienciesIEEE Transactions on Signal Processing as a Regular Paper, 2018, 66(16): 4362-4376 ,10.1109/TSP.2018.2847626,

[18] Xin Chen, Yong Fang, Yanzan Sun, Yuntian Pan and Weidong Xiang, Statistical Characterization of Novel 3-D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments, International Journal of Antennas and PropagationVolume 2018, Article ID 6742346,11 pageshttps://doi.org/10.1155/2018/6742346

[19] Huang Qinghua; Zhang Guangfei; Fang Yong, DOA Estimation Using Block Variational Sparse Bayesian Learning, Chinese Journal of Electronics, 2017/0726, (4), pp768-772.

[20] Xin Chen, Yong Fang, Weidong Xiang, and Liang ZhouResearch on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment International Journal of Antennas and Propagation2017,(3098198), 12pages,   pp. 1-12.

[21] Sulin Mei, Yong Fang, EM-based Parameter Iterative Approach for Sparse Bayesian Channel Estimation of Massive MIMO System, EURASIP Journal on Wireless Communications and Networking, 2017, 12, Vol. 185, pp. 1-7, 2017.

[22] Chang Liu, Yong Fang, Jianzhong Liu, Some New Results About Sufficient Conditions for Exact Support Recovery of Sparse Signals via Orthogonal Matching Pursuit, IEEE Transactions on Signal Processing 2017, vol 65(17):4511-4524

[23] Zhichao Sheng1,2, H. D. Tuan1 , H. H. Nguyen3 and Yong Fang2Pilot Optimization for Estimation of High-Mobility OFDM ChannelsIEEE Transactions on Vehicular Technology201766(10): 8795-8806 .

[24] Zhichao Sheng; Hoang Duong Tuan; Ho Huu Minh Tam; Ha H. Nguyen; Yong Fang, Energy-Efficient Precoding in Multicell Networks with Full-Duplex Base Stations, EURASIP Journal on Wireless Communications and NetworkingVol.48, pp. 1-13, 2017.

[25] Huang, Qinghua; Zhang, Guangfei; Xiang, Longfei; Fang, Yong, Unitary transformations for spherical harmonics MUSIC, Signal Processing, 131, pp441-446, 2017/02,.

[26] 黄立勋, 方勇. 包含数据丢失的迭代学习控制系统收敛性分析[J]. 系统工程与电子技术, 2014,36(2):361-367.

[27] Lixun Huang, Yong Fang, Tao Wang. A method to improve convergence performance of ILC systems over wireless networks in presence of channel noise [J]. IET Control Theory and Applications, 2014,8(3):175-182.

[28] 方勇, 赵维杰, 汪敏, 非理想载波同步下的快衰落信道的稀疏与感知, 通信学报,2013, 34(9):10-15.

[29] X Lixun Huang, Yong Fang, "Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Dropout Compensation," Mathematical Problems in Engineering, vol. 2013, Article ID 609284, 9 pages, 2013.

[30] 方勇,赵维杰,汪敏. 信道压缩表示的OFDM快衰落信道估计,应用科学学报,201230(6):581-587.

[31] 段新涛,方勇,基于稀疏分解的置换混叠图像分离,高技术通讯,201222(4)368-373

[32] 王伟,方勇,单通道散焦模糊置换图像的盲分离,中国图象图形学报,20127(3)196-202

[33] Y. Fang, X. P. Zhou and M. Wang, Compressed sensing based channel estimation using group random unit pilot for OFDM systems in fast moving environment, High Technology Letters, 2011, 17(2):113-118

[34] 周小平,方勇,汪敏,MIMO-OFDM 快衰落信道的压缩感知估计方法,电波科学学报,2010, 25(6):1109-1115

[35] 王伟,方勇,基于有限差分的置换图像检测方法,电子学报,2010, 38(10)2268-2272.

[36] 张烨,方勇,基于平面聚类势函数法的欠定混合信号分离,高技术通讯,2010, 20(8):810-815.

[37] 汤永清,黄青华,方勇,基于球傅里叶变换的声源三维空间定位,信号处理,2010, 26(5):654-658.

[38] Q. H. Huang, Y. Fang, Interpolation of head-related transfer functions using spherical fourier expansion, Journal of Electronics(China), 2009, 26(4):571-576

[39] 方勇、王伟、王睿,置换混叠信号的盲检测和分离,应用科学学报,200927(5):491-497

[40] 王睿、方勇,基于不变矩的Copy-Move型篡改图像的盲检测方法,中国图像图形学报,2008, 13(10):227-230.

[41] 朱耀麟,方勇,汪敏. 混合发射天线选择的闭环发射分集系统的优化设计. 电波科学学报, 2007, 22(5):767-773.

[42] Y. L. Zhu, Y. Fang and M. Wang, Hybrid Transmit Antenna Selection and Maximal-Ratio Transmission Systems. Journal of Systems Engineering and Electronics, 2007, 18(2):229-235.

[43] 方勇,张瑾. 基于傅立叶变换的运动图像全盲认证方法. 应用科学学报., 2007, 25(3):233-238.

[44] 张瑾,方勇. 基于分块Contourlet变换的图像独立分量分析方法. 电子与信息学报,2007, 29(8):1813-1816.

[45] Y. Fang and T. W. S Chow, “Wavelets Based Neural Network for Function Approximation”, Lecture Notes in Computer Science, Volume 3971 / 2006, 80 – 85. 

[46] Y. Fang and T. W. S. Chow,“Nonlinear Dynamical Systems Control Using a New RNN Temporal Learning Strategy”,IEEE Trans on Circuits and Systems-II, 2005, 52(11):719-723.

[47] 方勇,王明祥, 基于自组织映射的后非线性独立分量分析的初始化方法. 电子学报.  2005, 33(5):889-892.

[48] 王明祥,方勇, 基于二维小波变换的独立分量分析方法及其在图像分离中的应用. 电子与信息学报, 2006, 28(3):471-475.

[49] Y. Fang, “New Neural Network for Multichannel Blind Equalization”APOC2003, Proceedings of SPIE, 2004, 5284:155-162.

[50] 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, 2003, 50(5):722-727.

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

[52] T.W.S. Chow and Y. Fang, “Neural Blind Deconvolution of MIMO Noisy Channels,” IEEE Trans. On Circuits and Systems. 2001, 48(1):116-120.

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

[54] 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, 20000, 31(3):401-408.

[55] Y. Fang and T.W.S. Chow, “Orthogonal wavelet neural networks applying to identification of Wiener model,” IEEE Trans. On Circuits and Systems I, 2000, 47(4):591-593.

[56] Y. Fang and T.W.S. Chow, “Blind equalization of a noisy channel by neural network,” IEEE Trans. on Neural Networks, 1999, 10(4):918-924.

[57] Y. Fang, T.W.S. Chow and K.T. Ng, “Linear neural network based blind equalization,” Signal Processing, 1999, 76(1):37-42.

[58] 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, 1999, 146(1):84-90.

[59] 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, 1998, 45(1):151-161.

[60] Y. Fang and T.W.S. Chow, “Iterative learning control of linear discrete-time multivariable system,” Automatica, 1998, 34(11):1458-1462

[61] 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,1998, 2:1726-1731.

[62] 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,1999, 3(2):102-107.

[63] 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, 1998, 45(6):683-689.

[64] 方勇,杨成捂, 一般模型2-D系统干扰解耦观测器设计, 自动化学报,1997, 23(3): 277-281. EI 97103877671

[65] 杨成捂,方勇 2-D Rosser模型的静态干扰解耦, 自动化学报,1994, 20(2): 140-246.

[66] 方勇,杨成捂, Criterion for modal controllability and observability of 2-D systems,  控制理论与应用,1993, 10(5): 596-598.

[67] 方勇,数字信号处理―原理与实践(第二版),清华大学出版社,20108 ISBN 978-7-302-22886-8)。20172月第七次印刷。