个人简介：

张咏珊，副教授，博士生导师，中国图象图形学学会遥感图像专委会委员。于2026年2月加入中山大学，此前曾任职于中国地质大学（武汉）。主要研究方向包括遥感信息解译、机器学习及多源数据融合等。先后主持国家自然科学基金青年项目、湖北省自然科学基金青年项目及武汉市知识创新专项（曙光计划）等多项国家级与省部级科研课题，并作为核心成员深度参与国家自然科学基金重大项目、国家重点研发计划等多项重大课题。近年来在国内外权威学术期刊与会议上发表论文50余篇，其中以第一作者或通讯作者在CVPR、AAAI、IJCAI、ACM MM等CCF A类会议，以及IEEE TIP、TMM、TCSVT、TGRS等IEEE/ACM Transactions系列国际顶刊发表论文20余篇。

 

研究方向：

遥感信息解译（遥感图像识别、遥感图像融合）、机器学习（多视图聚类、多视图多标签学习）

 

研究与招生：

每年招收2-3名推免或统考硕士研究生、1-2名博士研究生，并欢迎优秀博士后来组开展科研工作。

诚挚欢迎保送或报考中山大学软件工程学院研究生的同学与我联系，同时也欢迎对科研充满热情、具有探索精神的大二、大三本科生加入团队参与科研工作。

 

邮箱：zhangysh95@mail.sysu.edu.cn

 

主要科研项目：

2022-2024，国家自然科学基金青年项目，主持

2020-2022，湖北省自然科学基金青年项目，主持

2023-2025，武汉市知识创新专项曙光项目，主持

2024-2028，国家重点研发计划青年科学家项目，参与

2023-2027，国家自然科学基金重大项目，参与

2023-2025，国家重点研发计划国际合作项目，参与

 

教学项目：

2025-2026，教育部产学合作协同育人项目（北京小米移动软件有限公司），主持

 

代表性论文（一作或通讯*）：

期刊论文：

  1. [IEEE TCSVT 2025, 中科院一区]Yongshan Zhang, Xinxin Wang*, Xinwei Jiang, Lefei Zhang, Bo Du. Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image.
  2. [IEEE TGRS 2025, 中科院一区] Yao Lu, Yongshan Zhang*, Xinwei Jiang, Xiaobo Liu, Zhihua Cai*. Dual-Branch Convolution-Transformer Network with Spectral-Spatial Attention for Hyperspectral Image Classification. 
  3. [IEEE TCSVT 2025, 中科院一区] Guozhu Jiang, Yongshan Zhang*, Xinxin Wang, Xinwei Jiang, Lefei Zhang. Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering.
  4. [IEEE TVT 2025, 中科院二区] Tiancong Li, Yaoming Cai, Yongshan Zhang*, Zhihua Cai*, Guozhu Jiang, Xiaobo Liu. Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection.
  5. [IEEE TIP 2024, CCF A类/中科院一区]Yongshan Zhang*, Shuaikang Yan, Lefei Zhang, Bo Du. Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery. 
  6. [IEEE TMM 2024, 中科院一区]Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou*. Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery.
  7. [IEEE TGRS 2024, 中科院一区]Yongshan Zhang, Shuaikang Yan, Xinwei Jiang*, Lefei Zhang, Zhihua Cai, Jun Li. Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering.
  8. [IEEE TCSVT 2024, 中科院一区]Yongshan Zhang, Jianwen Qi, Xinxin Wang, Zhihua Cai*, Jiangtao Peng, Yicong Zhou. Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection.
  9. [IEEE TCSVT 2022, 中科院一区]Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou*. Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering. 
  10. [IEEE TGRS 2022, 中科院一区]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou*. Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. 
  11. [IEEE TGRS 2022, 中科院一区]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou*. Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. 
  12. [IEEE TMM 2020, 中科院一区]Yongshan Zhang, Jia Wu*, Zhihua Cai*, Philip S. Yu. Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. (高被引论文, 热点论文)

 

会议论文：

  1. [CVPR 2026, CCF A类]Yongshan Zhang, Xiaohuan Lin, Lefei Zhang, Zhihua Cai. Orthogonal Spatial-Aware Multi-View Anchor Graph Clustering for Incomplete Remote Sensing Data.
  2. [AAAI 2026, CCF A类]Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang*, Zhihua Cai. Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data.
  3. [AAAI 2026, CCF A类]Yongshan Zhang, Zixuan Zhang, Xinxin Wang*, Lefei Zhang, Zhihua Cai. Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery.
  4. [AAAI 2026, CCF A类] Xinxin Wang, Yongshan Zhang*, Xiaochen Yuan, Yicong Zhou. Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering.
  5. [ACM MM 2025, CCF A类] Weiqi Liu, Yongshan Zhang*, Xinxin Wang, Lefei Zhang. Deep Multi-Level Contrastive Clustering for Multi-Modal Remote Sensing Images.
  6. [ACM MM 2025, CCF A类] Pingting Hao, Huijie Zhang, Yongshan Zhang*. Tensor-based Opposing yet Complementary Learning for Multi-view Multi-label Feature Selection.
  7. [IJCAI 2025, CCF A类] Jiazhuang Xiong, Yongshan Zhang*, Xinxin Wang, Lefei Zhang. Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening.
  8. [CVPR 2023, CCF A类] Jie Zhang, Yongshan Zhang*, Yicong Zhou*. Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification.