师资队伍
徐丰

Professional Title:

Position:信息学院副院长、教育部重点实验室主任

Email:fengxu@fudan.edu.cn

Visiting Address:江湾校区交叉2号楼B6027

Tel:021-65643569

Home Page:

Research Interests

  • 研究方向
  • 雷达成像与智能信息获取
  • 电磁散射建模与计算机仿真
  • 微波视觉与物理启发人工智能
  • 主持国家自然科学基金重大项目课题、国家重点研发计划课题、联合基金重点项目等
  • https://scholar.google.com/citations?user=i-N1K9oAAAAJ&hl=en
  • 招生专业方向(对应夏令营或招生报名系统)
  • 博士:
  • 0810 信息与通信工程 - 雷达成像与智能信息获取
  • 0809 电子科学与技术 - 人工智能
  • 0854 电子信息 - 通信与信息
  • 硕士:
  • 0810 信息与通信工程 - 智能感知
  • 0854 电子信息 - 智能感知

Academic Positions

  • IEEE Transactions Geoscience and Remote Sensing 主题副编
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  • IEEE Geoscience and Remote Sensing Letters副编辑
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  • Science China Information Science编委
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  • IEEE Remote Sensing Code Libary编委
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  • 中国科学、科技纵览、电子与信息学报、雷达学报、电波科学学报、上海航天等编委
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  • IEEE 地球科学与遥感学会全球活动主任、Adcom委员、高级会员
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  • 中国电子学会空天信息分会委员、雷达分会委员、中国通信学会青年工作委员会委员
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Awards

  • 上海市自然科学一等奖(第一完成人)2022
  • 国家自然科学二等奖(第二完成人)2011
  • 教育部自然科学一等奖(第三完成人)2010
  • 国家高层次人才计划入选者 2019
  • 国家青年人才计划入选者 2012、2018
  • IEEE GRSS Regional Leader Award 2023
  • IEEE GRSS Early Career Award 2014
  • 国际无线电联盟(URSI)青年科学家奖 2014
  • 霍英东青年科学奖二等奖 2022
  • 天智杯人工智能挑战赛冠军 20192023
  • 美国SUMMA研究生奖 2007
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Education and Working Experience

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  • 东南大学无线电系信息工程专业学士   
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  • 复旦大学信息学院电路与系统专业 博士   
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  • 美国大气海洋局(NOAA)卫星应用研究中心 博士后   
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  • 美国智能自动化公司/NASA戈达德太空飞行中心 研究科学家 

Teaching

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  • INFO130331 数字逻辑基础(本科 大二上 )
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  • INFO130342 机器学习(本科 大三上)
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  • INFO620039 人工智能(研究生)

Publications

[1].    S. Li, Z. Liu, S. Fu, Y. Wang, F.Xu, Intelligent Beamforming via Physics-Inspired Neural Networks on Programmable Metasurface, IEEE Trans. Antenna Propagation, 2022

[2].    X. Zhang, F. Xu, Coherent Spatially Varying Bidirectional Scattering Distribution Function of Rough Surface, IEEE Trans. Geosci. Remote Sens., 2022

[3].    F. Xue and F. Xu, Allometric Vegetation Modeling and SAR Image Simulation for Polarimetry and Interferometry, IEEE Trans. Geosci. Remote Sens., 2022

[4].    Q. Song, F. Xu, X. Zhu, Y.-Q. Jin, Learning to Generate SAR Images with Adversarial Autoencoder, IEEE Transactions on Geoscience and Remote Sensing, 2021

[5].    X. Zhu et al., Deep learning meets SAR: concepts, models, pitfalls, and perspectives, IEEE Geosci. Remote Sensing Magazine, 2021

[6].    F. Hu, et al., System Concepts and Potential Applications of a Tri-Beam Spaceborne SAR Mission, IEEE Trans. Geosci. Remote Sens., 2022

[7].    Xiaowei Hu, et al., MDLI-Net: Model Driven Learning Imaging Network for High-Resolution Microwave Imaging with Large Rotating Angle and Sparse Sampling, IEEE Trans. Geosci. Remote Sens., 2021

[8].    H. Y. Xu, F. Xu and Y.Q. Jin, Variable Resolution SAR Imaging Mode with the Principle of Maximum Mutual Information, IEEE Transactions on Geoscience and Remote Sensing, 2021

[9].    S. Li, Feng Xu, X. Wan, T. J. Cui, Y.-Q. Jin, “Programmable Metasurface Based on Substrate-Integrated Waveguide for Compact Dynamic-Pattern Antenna,” IEEE Transactions on Antenna and Propagation, 2020

[10]. S. Fu, Feng Xu and Y.-Q. Jin, “Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks”, Science China Information Sciences, 2021

[11]. Q. Guo, H. Wang, Feng Xu, “Scattering Enhanced Attention Pyramid Network for Aircraft Detection in SAR Images,” IEEE Transactions on Geoscience and Remote Sensing, 2020.

[12]. Zhaoyang Xia, Yixiang Luomei, Chenglong Zhou, and Feng Xu, “Multi-dimensional Feature Representation and Learning for Robust Hand-Gesture Recognition on Commercial Millimeter-wave Radar”, IEEE Trans. Geosci. Remote Sens., 2020.

[13]. D-X Yue, F. Xu A. Frery and Y.-Q. Jin, SAR Image Statistical Modeling Part I: Single-Pixel Statistical Modeling, IEEE Geoscience Remote Sensing Magazine, 2020

[14]. D-X Yue, F. Xu A. Frery and Y.-Q. Jin, SAR Image Statistical Modeling Part II: Spatial Correlation Models and Simulation, IEEE Geoscience Remote Sensing Magazine, 2020

[15]. X. Hou et al. FUSAR-Ship: Building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition, Science of China Information Science, 2020

[16]. D.-X. Yue F. Xu A. Frery and Y.-Q. Jin, A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture “, IEEE Trans Geosci. Remote Sens., 2020

[17]. F. Xue X. Wang F. Xu and R. Wang: “Polarimetric SAR Interferometry A Tutorial for Analyzing System Parameters”, IEEE Geosci Remote Sens Magazine, 2020

[18]. Q. Song, H. Chen, F. Xu and T.J.Cui, “EM Simulation-Aided Zero-Shot Learning for SAR Automatic Target Recognition”, in IEEE Geoscience and Remote Sensing Letters, 2019

[19]. W. Ao, Y. Fu, X. Hou, F. Xu, “Needles in a haystack: tracking city-scale moving vehicles from continuously moving satellite”, IEEE Transactions on Image Processing, 2019

[20]. H. Bi, F. Xu, et al., “An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification”, IEEE Trans. Geosci. Remote Sens., 2019

[21]. X. Wang and F. Xu, “A PolinSAR Inversion Error Model on Polarimetric System Parameters for Forest Height Mapping”, IEEE Trans. Geosci. Remote Sens., 2019

[22]. L. Li, M. Hurtado, Feng Xu, B.C. Zhang, T. Jin, T.J. Cui, M. Nikolic Stevanovic and A. Nehorai (2018), "A Survey on the Low-Dimensional-Model-based Electromagnetic Imaging", Foundations and Trends in Signal Processing: Vol. 12: No. 2, pp 107-199. 2018

[23]. X. Zhu, D. Tuia, L. Mou, G. Xia, L. Zhang, F. Xu, F. Fraundorfer, “Deep Learning in Remote Sensing”, IEEE Geoscience Remote Sensing Magazine, 5(4), pp. 8-36, 2017.

[24]. Q. Song, Feng Xu, “Zero-Shot Learning of SAR Target Feature Space with Deep Generative Neural Networks”, IEEE Geosci. Remote Sens. Lett., 14(12), pp. 2245 – 2249, 2017.

[25]. Feng Xu, Q. Song and Y.Q. Jin, "Polarimetric SAR Image Factorization", IEEE Trans. Geosci. Remote Sens. , 55(9), pp. 5026-5041, 2017.

[26]. Feng Xu and P. Wang, “Analytic Modeling of Rough Surface SAR Images under Small Perturbation Approximation”, IEEE Trans. Geosci. Remote Sens., 55(7), pp. 3694-3707, 2017.

[27]. Z. Zhang, H. Wang, Feng Xu and Y.Q. Jin, "Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification", IEEE Trans. Geosci. Remote Sens. , 55(12), pp. 7177 -7188, 2017

[28]. Feng Xu and Alexander Ignatov, “Error Characterization in iQuam SSTs Using Triple Collocations with Satellite Measurements”, Geophys. Res. Letters, 43(20), 2016

[29]. Feng Xu, Y.Q. Jin and A. Moreira, “A Preliminary Study on SAR Advanced Information Retrieval and Scene Reconstruction”, IEEE Geosci. Remote Sens. Letters, 13(10), pp. 1443- 1447, 2016.

[30]. Feng Xu, Y. Li and Y.Q. Jin, “Polarimetric–Anisotropic Decomposition and Anisotropic Entropies of High-Resolution SAR Images”, IEEE Trans. Geosci. Remote Sens., 54(9), pp. 5467-5482 , 2016.

[31]. H. Su, Feng Xu, S. Lu and Y.Q. Jin, “Iterative ADMM for Inverse FE-BI Problem: A Potential Solution to Radio Tomography of Asteroids”, IEEE Trans. Geosci. Remote Sens., 9(7), pp. 2891-2900, 2016.

[32]. S. Chen, H. Wang, Feng Xu and Y.Q. Jin, “Target Classification Using the Deep Convolutional Networks for SAR Images”, IEEE Trans. Geosci. Remote Sens., 54(8), pp.4806-4817, 2016.

[33]. Y. Zhou, H. Wang, Feng Xu and Y.Q. Jin, “Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks”, IEEE Geosci. Remote Sens. Lett., 13(12), pp.1935-1939, 2016.

[34]. Feng Xu et al., “A backscattering model of rainfall over rough sea surface for synthetic aperture radar,” IEEE Trans. Geosci. Remote Sens., 53(6), pp.3042-3054, 2015

[35]. Feng Xu et al., “Impact of Cross-Polarization Isolation on Polarimetric Target Decomposition and Target Detection”, Radio Science, 50(4), pp 327-338, 2015

[36]. Feng Xu and A. Ignatov, “In situ SST quality monitor (iQuam),” J. Atmos. Oceanic. Tech., vol. 31, no. 1, 2014

[37]. Feng Xu and M. Deshpande, "Iterative Nonlinear Tikhonov Algorithm With Constraints for Electromagnetic Tomography," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, no.3, pp.707,716, June 2012 doi: 10.1109/JSTARS.2012.2193117

[38]. Feng Xu and A. Ignatov, “Evaluation of in situ sea surface temperatures for use in the calibration and validation of satellite retrievals,” J. Geophys. Res., 115, C09022, doi:10.1029/2010JC006129, 2010.

[39]. Feng Xu and Y.-Q. Jin, "Raw signal processing of stripmap bistatic synthetic aperture radar," IET Radar, Sonar & Navigation, vol. 3, no.3, pp. 233-244, Jun 2009

[40]. Feng Xu and Y.-Q. Jin, "Bidirectional Analytic Ray Tracing for Fast Computation of Composite Scattering from An Electric-Large Target over Randomly Rough Surface", IEEE Transactions on Antennas and Propagation, 2009, 57(5): 1-11

[41]. Feng Xu and Y.-Q. Jin, "Calibration and Validation of a Set of Multi-Aspect Airborne Polarimetric Pi-SAR Data", International Journal of Remote Sensing, 2008, 29(23): 6801-6810

[42]. Feng Xu and Y.-Q. Jin, "Imaging simulation of bistatic synthetic aperture radar and its polarimetric analysis," IEEE Transactions on Geoscience and Remote Sensing, vol.46, no.8 pp.2233-2248, Aug 2008.

[43]. Feng Xu and Y.-Q. Jin, "Automatic reconstruction of building objects from multi-aspect meter-resolution SAR images," IEEE Transactions on Geoscience and Remote Sensing, vol.45, no.7 pp.2336-2353, July 2007.

[44]. Feng Xu and Y.-Q. Jin, "Imaging simulation of polarimetric SAR for a comprehensive terrain scene using the mapping and projection algorithm," IEEE Transaction on Geoscience and Remote Sensing, vol.44, no.11 pp.3219- 3234, Nov. 2006

[45]. Feng Xu and Y.-Q. Jin, "Multiparameter inversion of a layer of vegetation canopy over rough surface from the system response function based on the mueller matrix solution of pulse echoes," IEEE Transactions on Geoscience and Remote Sensing, vol.44, no.7 pp. 2003- 2015, July 2006

[46]. Feng Xu and Y.-Q. Jin, "Deorientation theory of polarimetric scattering targets and application to terrain surface classification," IEEE Transaction on Geoscience and Remote Sensing, vol.43, no.10 pp. 2351- 2364, Oct. 2005

 

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