姜雪研究员

址:上海市闵行区东川路800号电院1号楼

话:+86 21 34204198

箱:xuejiang@sjtu.edu.cn

研究中心:雷达信号处理研究中心

个人主页:http://sp.sjtu.edu.cn/

个人简介

研究员、博导,国家优青。2014年获加拿大麦克马斯特大学(McMaster University)电子与计算机工程系博士学位。毕业后历任麦克马斯特大学、美国亚利桑那州立大学(Arizona State University)博士后,2016年加入上海交通大学。主要研究方向为统计信号处理、阵列信号处理、数据科学、遥感图像解译、凸/非凸优化理论与算法设计及其在信息科学中的应用。发表学术论文50余篇。入选2013IEEE雷达会议最佳学生论文,获第七届高分辨率对地观测学术年会青年创新基金论文奖。担任信号处理领域知名刊物IEEE Transactions on Signal Processing编委,Signal Processing客座编委及雷达领域著名刊物IET Radar, Sonar & Navigation编委。任IEEE高级会员及IEEE信号处理协会上海分会秘书。

研究领域

信号与信息处理、凸/非凸优化

研究方向

1. 阵列信号处理

2. 统计信号处理

3. 数据科学

4. 遥感图像目标检测与识别

5. 凸/非凸优化理论与算法设计及其在信息科学中的应用


获奖情况

第七届高分辨率对地观测学术年会青年创新基金论文奖

第一届“天智杯”人工智能挑战赛(遥感影像智能检测与识别领域),决赛第二名。

授课
EE325: 数字信号处理
ECE706: Digital Signal Processing (McMaster University)
科研项目

1. 国家自然科学基金委员会,国家优秀青年科学基金,鲁棒波束形成理论与方法,2021-01至2023-12,主持

2. 国家自然科学基金委员会,面上项目,基于非凸优化的唯相鲁棒波束形成:理论、快速算法和应用,2020-2023,主持

3. 国家自然科学基金委员会,青年项目,大数据条件下的最小散度波束形成:理论、高效算法和应用,2017-2019,主持

4. 华为技术有限公司,科研项目,基于超分辨率信道参数估计的FDD MM性能增强项目,2019-2020,主持

5. 华为技术有限公司,创新研究计划项目,Outlier-Robust Matrix Completion and Channel Prediction,2016-2017,主持
学术兼职

1. Associate Editor for IEEE Transactions on Signal Processing

2. Editorial Board Member of IET Radar, Sonar & Navigation

3. Guest Editor for Signal Processing, Special Issue “Robust Multi-Channel Signal Processing and Applications”

4. Organizing Committee Member of the 5-Minute Video Clip Contest (5-MICC) at 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) in Barcelona, Spain (May 4-8): Let There Be a Beam

5. IEEE Senior Member

6. Secretary of IEEE Signal Processing Society, Shanghai Chapter

重要论文

Y. Zhou, S. Sun,  Xue Jiang, G. Xu, F. Hu, Z. Zhang, X. Liu, "DGA: Direction-guided attack against optical aerial detection in camera shooting direction agnostic scenarios," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-22, 2024.
Z. Zou, L. Chen and Xue Jiang, "Spectral-temporal low-rank regularization with deep prior for thick cloud removal," IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.
G. Xu, Xue Jiang, Y. Zhou, S. Li, X. Liu and P. Lin, "Robust land cover classification with multimodal knowledge distillation," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp.1-16, 2024.
G. Xu, Xue Jiang, X. Li, Z. Zhang and P. Lin, "Exploring self-supervised learning for multi-modal remote sensing pre-training via asymmetric attention fusion," Remote Sensing, vol. 15, no. 24, pp. 1-16, 2023.
Y. Zhou, Xue Jiang, Z. Chen, L. Chen, and X. Liu, "A semisupervised arbitrary-oriented SAR ship detection network based on interference consistency learning and pseudolabel calibration," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 5893-5904, 2023.
Y. Zhou, Xue Jiang, G. Xu, X. Yang, X. Liu, and Z. Li, "PVT-SAR: An arbitrarily oriented SAR ship detector with pyramid vision transformer," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 291-305, 2023.
Y. Zhou, Xue Jiang, L. Chen, and X. Liu, "GRD: An ultra-lightweight SAR ship detector based on global relationship distillation," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.
Y. Zhou, W. Jiang, Xue Jiang, L. Chen, and X. Liu, "CamoNet: A target camouflage network for remote sensing images based on adversarial attack," Remote Sensing, vol. 15, no. 21, pp. 1-17, 2023.
Xue Jiang, X. Liu, and T. Kirubarajan, "Multiple access interference suppression for CDMA systems via $\ell_{\infty}$-minimization," Fundamental Research, vol. 2, no. 5, pp. 799-806, September 2022.

L. Chen, Xue Jiang, X. Liu, and M. Haardt, “Reweighted low-rank factorization with deep prior for image restoration,” IEEE Transactions on Signal Processing, vol. 70, pp. 3514–3529, 2022.

L. Tao, Y. Zhou, Xue Jiang, X. Liu, and Z. Zhou, “Convolutional neural network based dictionary learning for SAR target recognition,” IEEE Geoscience and Remote Sensing Letters, vol. 18. no. 10, pp. 1776–1780, October 2021.

L. Chen, Xue Jiang, X. Liu, T. Kirubarajan, and Z. Zhou, “Outlier-robust moving object and background decomposition via structured Lp-regularized low-rank representation,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 4, pp. 620–638, 2021.

L. Chen, Xue Jiang, X. Liu, and Z. Zhou, “Logarithmic norm regularized low-rank factorization for matrix and tensor completion,” IEEE
Transactions on Image Processing, vol. 30, pp. 3434–3449, 2021.

Xue Jiang, J. Chen, X. Liu, A. M. Zoubir, and Z. Zhou, “Phase-only robust minimum dispersion beamforming,” IEEE Transactions on Signal Processing, vol. 68, pp. 5664-5679, 2020.
L. Chen, Xue Jiang, X. Liu, and Z. Zhou, “Robust low-rank tensor recovery via nonconvex singular value minimization,” IEEE Transactions on Image Processing, vol. 29, pp. 9044–9059, 2020.

L. Chen, Xue Jiang, X. Liu, Z. Li, and Z. Zhou, “Feature enhanced speckle reduction via low-rank and space-angle continuity for circular SAR target recognition,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 11, pp. 7734–7752, November 2020.

L. Tao, Xue Jiang, Z. Li, X. Liu, and Z. Zhou, “Multiscale supervised kernel dictionary learning for SAR target recognition,”  IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6281–6297, September 2020.

C. Zheng, Xue Jiang, and X. Liu, “Semi-supervised SAR ATR via multi-discriminator generative adversarial network,” IEEE Sensors Journal, vol. 19, no. 17, pp. 7525–7533, Sep. 2019.

L. Tao, Xue Jiang, Z. Li, X. Liu, and Z. Zhou, “Multiscale incremental dictionary learning with label constraint for SAR object recognition,” IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 1, pp. 80–84, Jan. 2019.

Xue Jiang, J. Chen, H. C. So, and X. Liu, “Large-scale robust beamforming via L_{infty}-minimization,” IEEE Transactions on Signal Processing, vol. 66, no. 14, pp. 3824–3837, July 2018.