Deep Tensor Factorization for Hyperspectral Image Classification. - Jingzhou Chen; Wei Zhang; Yuntao Qian; Minchao Ye (IGARSS, 2018)

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IGARSS, 2018)

Deconv R-CNN for Small Object Detection on Remote Sensing Images. - Wei Zhang; Shihao Wang; Sophanyouly Thachan; Jingzhou Chen; Yuntao Qian (IGARSS, 2018)

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. - Jingzhou Chen; Siyu Chen 002; Peilin Zhou; Yuntao Qian (IEEE Access, 2019)

Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks. - Yingyu Diao; Jingzhou Chen; Yuntao Qian (IGARSS, 2020)

Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs. - Jingzhou Chen; Yuntao Qian (IGARSS, 2021)

Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification. - Xiaotian Fan; Jingzhou Chen; Yuntao Qian (IGARSS, 2021)

Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures. - Yahui Wang; Yueyang Wang; Jingzhou Chen; Yincheng Wang; Jie Yang; Ting Jiang; Jibo He (Sensors, 2021)

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. - Jingzhou Chen; Peng Wang 100; Jian Liu; Yuntao Qian (CVPR, 2022)

Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs. - Jingzhou Chen; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation. - Jingzhou Chen; Shihao Wang; Ling Chen 001; Haibin Cai; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Semantic guided level-category hybrid prediction network for hierarchical image classification. - Peng Wang 100; Jingzhou Chen; Yuntao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images. - Fengchao Xiong; Tianhan Li; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hierarchical Contrastive Learning for Multigranularity Ship Classification With Learnable Class Queries. - Jingzhou Chen; Fengchao Xiong; Yuntao Qian; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding. - Zheng Liu; Mengjie Liu; Jingzhou Chen; Jingwei Xu; Bin Cui 001; Conghui He; Wentao Zhang 001 (CoRR, 2025)