Research Interests

• Computer Vision — prior modelling of multi-granularity visual semantic structures
• Aerospace Information Processing — object detection, semantic segmentation, change detection
• Machine Learning — deep learning, dictionary learning, multi-modal representation learning

Selected Publications

1. 2026
   Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-Grained Object Detection in Remote Sensing Images

   Jingzhou Chen, Dexin Chen, Fengchao Xiong, Yuntao Qian, Liang Xiao

   CVPR IEEE/CVF Conference on Computer Vision and Pattern Recognition PDF · Code
2. 2022
   Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

   Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian

   CVPR IEEE/CVF Conference on Computer Vision and Pattern Recognition PDF · Code
3. 2025
   Adaptive Label Granularity Selection for Remote Sensing Targets: Balancing Accuracy and Specificity

   Jingzhou Chen, Junjie Huang, Peng Wang, Fengchao Xiong, Yuntao Qian, Liang Xiao

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
4. 2025
   Hierarchical Contrastive Learning for Multigranularity Ship Classification with Learnable Class Queries

   Jingzhou Chen, Fengchao Xiong, Yuntao Qian, Liang Xiao

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
5. 2021
   Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs

   Jingzhou Chen, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF · Code
6. 2020
   Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation

   Jingzhou Chen, Shihao Wang, Ling Chen, Haibin Cai, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
7. 2024
   Mask-Guided Local–Global Attentive Network for Change Detection in Remote Sensing Images

   Fengchao Xiong, Tianhan Li, Jingzhou Chen*, Jun Zhou, Yuntao Qian

   JSTARS IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ESI Highly Cited PDF
8. 2026
   Bridging the Resolution Gap: Semantic-Aware Alignment for Cross-Resolution Change Detection

   Hao Wang, Fengchao Xiong, Yijun Zhang, Jianfeng Lu, Jingzhou Chen, Yuntao Qian

   PR Pattern Recognition PDF
9. 2025
   Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

   Jin Ye, Jingran Wang, Fengchao Xiong, Jingzhou Chen, Yuntao Qian

   TGRS IEEE Transactions on Geoscience and Remote Sensing PDF
10. 2025
    Semantic Distance Modeling for Multi-Granularity Classes in Hierarchical Ship Classification

    Jingzhou Chen, Junjie Huang, Fengchao Xiong, Liang Xiao, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium
11. 2021
    Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs

    Jingzhou Chen, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
12. 2018
    Deep Tensor Factorization for Hyperspectral Image Classification

    Jingzhou Chen, Wei Zhang, Minchao Ye, Yuntao Qian

    IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF · Code

Additional Publications

1. 2023
   Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification

   Peng Wang, Jingzhou Chen, Yuntao Qian

   IJWMIP International Journal of Wavelets, Multiresolution and Information Processing PDF
2. 2021
   Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification

   Xiaotian Fan, Jingzhou Chen, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
3. 2020
   Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks

   Yingyu Diao, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
4. 2018
   Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

   Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF
5. 2018
   Deconv R-CNN for Small Object Detection on Remote Sensing Images

   Wei Zhang, Shihao Wang, Sophanyouly Thachan, Jingzhou Chen, Jun Zhou, Yuntao Qian

   IGARSS IEEE International Geoscience and Remote Sensing Symposium PDF

* indicates the corresponding author.

Research Grants

• 2026.01 – 2028.12
  Young Scientists Fund, National Natural Science Foundation of ChinaPI
• 2024.09 – 2027.08
  Youth Fund, Natural Science Foundation of Jiangsu ProvincePI
• 2023.11 – 2024.10
  Interactive Segmentation of Remote Sensing Images Driven by Foundation Model KnowledgePI

  Open Fund, Jiangsu Engineering Research Center of Aeronautical Earth Observation and Intelligent Perception
• 2024.12
  Jiangsu Province “Shuangchuang” (Innovation and Entrepreneurship) Doctoral Talent Support ProgramPI
• 2024.09 – 2027.09
  Low-Altitude Multi-Modal Remote Sensing Foundation Models and Intelligent InterpretationCo-I

  Frontier Technology R&D Program of Jiangsu Province
• 2023.11 – 2025.11
  Hairstyle Generation Based on Multi-Modal Pre-Trained ModelsCo-I

  Industry contract, Suzhou Jianyun Intelligent Technology Co., Ltd.

Experience

• 2023.06 – Present
  Lecturer

  School of Computer Science and Engineering, Nanjing University of Science and Technology
• 2022.04 – 2023.06
  Senior Computer Vision Engineer

  Machine Intelligence Department, Ant Group Co., Ltd.

  • Hierarchical semantic recognition for image content safetySynced Article · Bilibili Video
  • Vision-language model for image content safety

Education

• 2016.09 – 2022.03
  Ph.D. in Computer Science

  College of Computer Science, Zhejiang University, Hangzhou, Zhejiang
  Supervisor: Prof. Yuntao Qian
• 2012.09 – 2016.06
  B.E. in Computer Science

  College of Computer Science, Sichuan University, Chengdu, Sichuan

Academic Service

Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• AAAI Conference on Artificial Intelligence (AAAI)
• European Conference on Computer Vision (ECCV)
• IEEE Transactions on Geoscience and Remote Sensing (TGRS)
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
• Conference on Neural Information Processing Systems (NeurIPS)
• Asian Conference on Computer Vision (ACCV)

Membership

• Member, Technical Committee on Intelligent Remote Sensing, Jiangsu Association of Artificial Intelligence

Awards

• 2018 – 2019
  Outstanding Graduate Student, Zhejiang University
• 2015.07
  2nd Prize, 17th National Robotics Championship and 6th International Humanoid Robotics Olympiad
• 2015.05
  3rd Prize, 14th RoboMaster Robotics Competition
• 2014
  Outstanding Student, Sichuan University
• 2014.10
  1st Prize, 9th “Challenge Cup” Simulation Robot Soccer Competition, Sichuan University