Effect analysis and compensation for orbit perturbation of spacecraft using momentum management control. - Jinzhe Jiang; Yanan Gao; Lucheng Zhang (ICIA, 2013)

Abnormal Crowd Motion Detection Using Double Sparse Representations. - Jinzhe Jiang; Ye Tao; Wei Zhao 008; Xianglong Tang (IScIDE (1), 2015)

Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network. - Chen Li 024; Jinzhe Jiang; Yaqian Zhao; RenGang Li; Endong Wang; Xin Zhang 130; Kun Zhao (CoRR, 2021)

Towards Interpreting Computer Vision Based on Transformation Invariant Optimization. - Chen Li 024; Jinzhe Jiang; Xin Zhang 130; Tonghuan Zhang; Yaqian Zhao; Dongdong Jiang; Rengang Li (ECCV Workshops (6), 2022)

Distribution-restrained Softmax Loss for the Model Robustness. - Chen Li; Hao Wang; Jinzhe Jiang; Xin Zhang; Yaqian Zhao; Weifeng Gong (AISafety/SafeRL@IJCAI, 2023)

FGPNet: A weakly supervised fine-grained 3D point clouds classification network. - Huihui Shao; Jing Bai 004; Rusong Wu; Jinzhe Jiang; Hongbo Liang (Pattern Recognit., 2023)

Strong generalization in quantum neural networks. - Jinzhe Jiang; Yaqian Zhao; Rengang Li; Chen Li 024; Zhenhua Guo 003; Baoyu Fan; Xuelei Li; Ruyang Li; Xin Zhang 130 (Quantum Inf. Process., 2023)

Fusion of Heterogeneous Data for Enhanced Gesture Authentication: An RGB-Event Stream Approach. - Binqiang Wang; Lihua Lu; Jinzhe Jiang; Gang Dong (CCBR (2), 2024)

Study on The Effect of Encoding Method in Quantum Machine Learning. - Qingqing Xiong; Jinzhe Jiang; Chen Li 024; Xin Zhang 130; Yaqian Zhao (ICMLC, 2024)

Partially Recentralization Softmax Loss for Vision-Language Models Robustness. - Hao Wang; Xin Zhang; Jinzhe Jiang; Yaqian Zhao; Chen Li (CoRR, 2024)

Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509]. - Huihui Shao; Jing Bai 004; Rusong Wu; Jinzhe Jiang; Hongbo Liang (Pattern Recognit., 2024)

DCNet: exploring fine-grained vision classification for 3D point clouds. - Rusong Wu; Jing Bai 004; Wenjing Li; Jinzhe Jiang (Vis. Comput., 2024)

Glance and Gaze: Progressive end-to-end deep learning for fine-grained 3D shape classification. - Xiangyu Ma; Jing Bai 004; Jinzhe Jiang; Bin Peng (CSCWD, 2025)

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vision Transformer. - Xiangyu Ma; Jing Bai 004; Jinzhe Jiang; Bin Peng (ICASSP, 2025)

Frontiers and developments of data augmentation for image: From unlearnable to learnable. - Gan Lin; Jinzhe Jiang; Jing Bai 004; Yawen Su; Zenghui Su; Hongshuo Liu (Inf. Fusion, 2025)

Gradients of unitary optical neural networks using parameter-shift rule. - Jinzhe Jiang; Yaqian Zhao; Xin Zhang; Chen Li; Yunlong Yu; Hailing Liu (CoRR, 2025)

$ hbox {C}^2$DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification. - Jinzhe Jiang; Jing Bai 004; Xiangyu Ma (Neural Comput. Appl., 2025)