• 计算机视觉，人工智能，图像处理，目标检测识别/地物场景分类等

• 2025.01-至今, 上海交通大学, 感知科学与工程学院, 长聘教轨副教授
• 2021.10-2024.12, 上海交通大学, 感知科学与工程学院, 长聘教轨助理教授
• 2019.09-2021.09, 清华大学, 电子系, 博士后/助理研究员

• 2014.09-2019.07，上海交通大学，控制科学与工程，工学博士
• 2017.10-2018.11，瑞典皇家理工学院， 地理信息， 联合培养博士                          
• 2011.09-2014.06，四川大学，通信与信息系统，工学硕士            

近年来，先后指导学生获得上海市“优秀硕士毕业生”×2、上海交通大学“优秀硕士毕业生”×2、上海交通大学“优秀本科毕业生”×2、上海交通大学“三好学生”等荣誉称号；获得上海交通大学“国家奖学金”、“中远海运”奖学金×2、GRSS-IGARSS “Student Travel Grant”×2、“赵朱木兰”博士生奖学金等学术奖励；获得 “挑战杯”揭榜挂帅专项赛特等奖、“中国国际大学生创新大赛”全国铜奖、第二届“金海豚”杯算法挑战赛优胜奖、第二届“高分对地观测应用技术创新大赛”优胜奖等赛事奖项。

至今已发表包括IEEE TIP、IEEE TCSVT、IEEE TCYB、IEEE TGRS、IEEE TSP、ISPRS P&RS等在内的SCI期刊论文60余篇，主持国自然青年科学基金、中国博士后第68批科学基金各1项，参与包括国家自然科学基金重大\重点\面上等多个项目，多次受邀进行学术报告。

• 四川大学学报(自然科学版)、雷达学报青年编委
• IEEE Member
• IEEE PAMI, IEEE TIP, IEEE TNNLS, ISPRS P & RS, IEEE TGRS, IEEE JSTARS, IEEE GRSL, 雷达学报, 遥感学报等审稿人
• 2021年IGARSS会议分会“Advanced Target Detection Method in SAR/PolSAR Images”联席主席(Co-Chair)
• 2025年ICIVC会议分会“Image Processing Theory and Application”联席主席(Co-Chair)

• 2023.01-2025.12  国自然青年基金，主持
• 2020.11-2021.09  中国博士后68批面上基金，主持

• N. S. Xie, T. Zhang*, et al., “VLF-SAR: A Novel Vision-Language Framework for Few-shot SAR Target Recognition,” in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Accepted, Apr., 2025.

• B. C. Huang, T. Zhang*, et al., “Scattering Enhancement and Feature Fusion Network for Aircraft Detection in SAR Images," in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol.35, no.2, pp.1936-1950, Feb., 2025.

• X. Y. Xu, H. Z. Liu, T. Zhang*, et al., “PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation,” in IEEE Transactions on Image Processing (IEEE TIP), Accepted, Jan., 2025.

• R. K. Zhu, T. Zhang*, et al., “A Network for Merging SAR Image Sea-land Segmentation and Coastline Detection Tasks,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.21, 4017305, Oct., 2024.

• S. N. Quan, T. Zhang*, et al., “Maritime Ship Detection with Concise Polarimetric Characterization Pattern,” in International Journal of Applied Earth Observation and Geoinformation (IJAG), vol.131, 103954, May, 2024.

• N. S. Xie, T. Zhang*, et al., “Dual Branch Deep Network for Ship Classification of Dual-polarized SAR Images,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.62, 5207415, Feb., 2024.

• N. S. Xie, T. Zhang*, et al., “PFDN: A Polarimetric Feature-guided Deep Network for Dual-polarized SAR Ship Classification,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.21, 4004905, Feb., 2024.

• X. Y. Xu, T. Zhang*, et al., “An Information-expanding Network for Water Body Extraction based on U-Net,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.21, 1502205, Feb., 2024.

• Z. Yang, Y. Cao, T. Zhang*, et al., “Multi-dimensional Information Expansion and Processing Network for Hyperspectal Image Classification,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.20, 4011105, pp.1-5, Sep., 2023.

• S. N. Quan, T. Zhang*, et al.,“Exploring Fine Polarimetric Decomposition Technique for Built-up Area Monitoring,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.61, 5204719, Mar. 2023. 

• T. Zhang, et al., “Information Reconstruction-based Polarimetric Covariance Matrix for PolSAR Ship Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.61, 5202815, Feb., 2023.

• H. P. Gan, M. H. Shen, Y. Hua, C. Y. Ma, and T. Zhang*, “From Patch to Pixel: A Transformer-based Hierarchical Framework for Compressive Image Sensing,” in IEEE Transactions on Computing Imaging (IEEE TCI), vol.9, pp.133-146, Feb., 2023.

• T. Zhang, et al., “A Two-Stage Method for Ship Detection Using PolSAR Image,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.60, 5236918, Dec., 2022.

• Z. Yang, Z. P. Xi, T. Zhang*, et al., “CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), vol.15, pp. 8974-8989, Oct., 2022.

• T. Zhang, et al.,“Ship Detection of Polarimetric SAR Images Using A Nonlocal Spatial Information-Guided Method,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.19, no.4513805, Sep. 2022. 

• T. Zhang, et al.,“Region-based Polarimetric Covariance Difference Matrix for PolSAR Ship Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.60, 5222016, Mar. 2022. 

• T. Zhang, et al.,“PolSAR Ship Detection Using the Superpixels-based Neighborhood Polarimetric Covariance Matrices,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.19, 4015105, Jan., 2022.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.18, no.9, pp.1575-1579, Sep., 2021.

• T. Zhang, et al.,“Marine Target Detection Using Dual-polarimtric SAR Imagery,” in Journal of Geodesy and Geoinformation Science, (JGGS), 4(1), 63-70, Feb., 2021. 

• T. Zhang, et al.,“PolSAR Ship Detection Using the Joint Polarimetric Information,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.58, no.11, pp.8225-8241, Nov. 2020.

• T. Zhang, et al.,“JL-GFDN: A Novel Gabor Filter-based Deep Network Using Joint Spectral-Spatial Local Binary Pattern for Hyperspectral Image Classification,” in Remote Sensing (RS), 12(12), 2016, Jun. 2020.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Ambiguity Removal Polarimetric Notch Filter,” in ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P & RS), 157:41-58, Jun., 2019.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Complete Polarimetric Covariance Difference Matrix,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.57, no.5, pp.2824-2839, May. 2019.

• T. Zhang, et al.,“A Ship Detector Applying  Principal Component Analysis to the Polarimetric Notch Filter,” in Remote Sensing (RS), 10(6), 948, Jun. 2018.

• T. Zhang, et al.,“PolSAR Ship Detection Based on the Polarimetric Covariance Difference Matrix,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), vol.10, no.7, pp.3348-3359, Jul. 2017.