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姜雪

研究员

所在系所:电磁与智能系统研究所

办公电话:+86 21 34204198

电子邮件:xuejiang@sjtu.edu.cn

通讯地址:上海市闵行区东川路800号电院1号楼

个人主页:http://sp.sjtu.edu.cn/

工作经历

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。长期围绕信号处理理论与方法以及多模态遥感智能解译开展研究,发表学术论文80余篇,主持国家自然科学基金委青年、面上以及优秀青年科学基金、上海航天科技创新基金、中电科、铁科院、华为等多项科研项目。曾任信号处理领域知名刊物IEEE Transactions on Signal Processing编委(2019-2023),现任IET Radar, Sonar & Navigation编委(2024-)。任中国图象图形学学会空间信息感知与决策专业委员会委员,IEEE高级会员及IEEE信号处理协会上海分会秘书。研究成果先后获得华为公司火花奖、国际开源基准委员会2023 TOP100基准成就奖以及第七届高分辨率对地观测学术年会青年创新基金论文奖。


研究方向

信号处理;多模态遥感空间理解;遥感图像处理及目标检测识别;优化理论与算法设计及其应用

科研项目

1. 国家自然科学基金委员会,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,青年科学基金,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,抗波束色散的宽带预编码设计, 2021-2022, 主持

5. 华为技术有限公司,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

6. 华为技术有限公司,Outlier-Robust Matrix Completion and Channel Prediction,2016-2017,主持



代表性论文及专著

期刊论文

1. Y. Zhou, R. Ding, X. Yang, Xue Jiang, and X. Liu, “AirSpatialBot: A spatially-aware aerial agent for fine-grained vehicle attribute recognition and retrieval,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 2025.

2. L. Chen, Xue Jiang, P. Xiao, X. Liu, and M. Haardt, “Structured tensor decomposition for FDD massive MIMO downlink channel reconstruction,” IEEE Transactions on Signal Processing, vol. 73, pp. 887–902, 2025.

3. L. Chen, L. Ge, Xue Jiang, H. Li, and M. Haardt, “Slim is better: Transform-based tensor robust principal component analysis,” vol. 73. pp. 2320–2335, IEEE Transactions on Signal Processing, 2025.

4. L. Chen, L. Ge, Xue Jiang, and H. Li, “Boosting RPCA by prior subspace,” IEEE Transactions on Signal Processing, vol. 73, pp. 2170–2186, 2025.

5. Z. Zou, Z. Zhang, Y. Zhou, and Xue Jiang, “SRP-CR: Semantic and representational priors for diffusion-based cloud removal,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 16292–16306, 2025.

6. Z. Zhang, Y. Zhou, L. Huang, Xue Jiang, G. Xu, and X. Liu, “Integrating local and global features via CNN and Mamba for semi-supervised change detection,” IEEE Transactions on Instrumentation & Measurement, vol. 74, 2025.

7. F. Hu, Xue Jiang, C. Jin, J. Wang and X. Liu, “Keypoint-based SAR structure-from-motion via Riemannian optimization,” Accepted by IEEE Transactions on Geoscience and Remote Sensing. (DOI: 10.1109/TGRS.2025.3580556)

8. Z. Zou, L. Chen, Xue Jiang, and A. M. Zoubir, “Exploiting generative diffusion prior with latent low-rank regularization for image inpainting,” IEEE Signal Processing Letters, vol. 31, pp. 2335–2339, 2024.

9. Z. Zhang, Xue Jiang, Z. Zhou, and X. Liu, “Semi-supervised change detection with Fourier-based frequency transformation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 11794–11808, 2024.

10. G. Xu, Z. Zhang, Xue Jiang, Y. Zhou and X. Liu, “Semisupervised scene classification for optical remote sensing images via label and embedding consistency,” IEEE Geoscience and Remote Sensing Letters, vol. 24, 2024.

11. 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,” vol. 62, pp. 1–22, IEEE Transactions on Geoscience and Remote Sensing, 2024.

12. 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, vol. 62, pp. 1–16, 2024.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

会议论文

1. Q. Wang, Xue Jiang, G. Xu, “CSFMamba: Cross state fusion Mamba operator for multimodal remote sensing image classification,” Accepted by IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brisbane, Australia, August 3-8, 2025.

2. R. Ding, Y. Zhou, Xue Jiang, and X. Liu, “AirAgent: An assistant for zero-shot fine-grained target attribute recognition in aerial imagery,” Accepted by the IEEE IGARSS, Brisbane, Australia, August 3-8, 2025.

3. J. Yang, L. Chen, Xue Jiang, and W. Liu, “Frequency-domain signal reconstruction for dynamic time-domain weighting hybrid precoding with beam squint,” In Proceedings of the 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 14-19, 2024.

4. L. Ge, Xue Jiang, L. Chen, X. Liu, and M. Haardt, “Leveraging tensor subspace prior: Enhanced sum of nuclear norm minimization for tensor completion,” In Proceedings of the 49th IEEE ICASSP, Seoul, Korea, April 14-19, 2024.

5. C. Chen, L. Chen, Xue Jiang, X. Liu, and A. M. Zoubir, “Deep unrolling network for SAR image despeckling,” In Proceedings of the 49th IEEE ICASSP, Seoul, Korea, April 14-19, 2024.

6. G. Xu, Xue Jiang, Y. Zhou, J. Fu, Z. Huang, and X. Liu, “Transformer-based incomplete multi-modal learning for land cover classification,” In Proceedings of the IEEE IGARSS, Athens, Greece, July 7–12, 2024.

7. F. Hu, Xue Jiang, J. Wang, X. Liu, Z. Huang, and L. Wang, “SAR pose estimation with Circular-n-Point: A two-step method,” In Proceedings of the IEEE IGARSS, Athens, Greece, July 7–12, 2024.

8. Z. Zhang, Xue Jiang, and X. Liu, “Semi-supervised change detection with multiview feature enhancement,” In Proceedings of the IEEE IGARSS, Athens, Greece, July 7–12, 2024.

9. H. Zhang and Xue Jiang, “Benchmarking adversarial attacks and defenses in remote sensing images,” In Proceedings of the IEEE IGARSS, Pasadena, CA, July 16–21, 2023.

10. F. Hu, Xue Jiang, J. Wang and X. Liu, “SAR structure-from-motion via matrix factorization,” In Proceedings of the IEEE IGARSS, Pasadena, CA, July 16–21, 2023.

11. W. Jiang, Y. Zhou and Xue Jiang, “Adversarial example generation method for object detection in remote sensing images,” In Proceedings of the IEEE IGARSS, Pasadena, CA, July 16–21, 2023.

12. G. Xu, Xue Jiang and X. Liu “Color-aware self-supervised learning for scene classification and segmentation of remote sensing images,” In Proceedings of the IEEE IGARSS, Pasadena, CA, July 16-21, 2023.

13. Z. Zou, L. Chen, Xue Jiang and P. Xiao, “Downlink channel estimation in FDD massive MIMO systems based on multi-resolution discrimination dictionary learning,” In Proceedings of the 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, September 4-8, 2023.

14 C. Chen, Y. Zheng, Xue Jiang, and X. Liu, “SAR image change detection via UR-ISTA,” In Proceedings of the IEEE IGARSS, Kuala Lumpur, Malaysia, July 17-22, 2022.

15. Y. Zhou, X. Yang, G. Zhang, J. Wang, Y. Liu, L. Hou, Xue Jiang et al., MMRotate: A rotated object detection benchmark using pytorch. In Proc. 30th ACM International Conference on Multimedia, Lisbon, Portugal, 2022. https://github.com/open-mmlab/mmrotate




荣誉奖励

International Open Benchmark Council 2023 TOP 100 Benchmark & Evaluation Achievement Award

华为公司火花奖(2022)

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