Jinzhe Jiang

18 papers C 1Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
$\hbox {C}^2$DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification.
Neural Comput. Appl.
Jinzhe Jiang, Jing Bai, Xiangyu Ma
2025 Misc conf
FG3DFormer: Fine-Grained 3D Shape Classification Based on Vision Transformer.
ICASSP
Xiangyu Ma, Jing Bai, Jinzhe Jiang, Bin Peng
2025 J jnl
Frontiers and developments of data augmentation for image: From unlearnable to learnable.
Inf. Fusion
Gan Lin, Jinzhe Jiang, Jing Bai, Yawen Su, Zenghui Su, Hongshuo Liu
2025 C conf
Glance and Gaze: Progressive end-to-end deep learning for fine-grained 3D shape classification.
CSCWD
Xiangyu Ma, Jing Bai, Jinzhe Jiang, Bin Peng
2025 J jnl
Gradients of unitary optical neural networks using parameter-shift rule.
CoRR
Jinzhe Jiang, Yaqian Zhao, Xin Zhang, Chen Li, Yunlong Yu, Hailing Liu
2024 J jnl
Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509].
Pattern Recognit.
Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang
2024 J jnl
DCNet: exploring fine-grained vision classification for 3D point clouds.
Vis. Comput.
Rusong Wu, Jing Bai, Wenjing Li, Jinzhe Jiang
2024 — conf
Fusion of Heterogeneous Data for Enhanced Gesture Authentication: An RGB-Event Stream Approach.
CCBR (2)
Binqiang Wang, Lihua Lu, Jinzhe Jiang, Gang Dong
2024 Misc conf
Study on The Effect of Encoding Method in Quantum Machine Learning.
ICMLC
Qingqing Xiong, Jinzhe Jiang, Chen Li, Xin Zhang, Yaqian Zhao
2023 — conf
Distribution-restrained Softmax Loss for the Model Robustness.
AISafety/SafeRL@IJCAI
Chen Li, Hao Wang, Jinzhe Jiang, Xin Zhang, Yaqian Zhao, Weifeng Gong
2023 J jnl
Distribution-restrained Softmax Loss for the Model Robustness.
CoRR
Hao Wang, Chen Li, Jinzhe Jiang, Xin Zhang, Yaqian Zhao, Weifeng Gong
2023 J jnl
FGPNet: A weakly supervised fine-grained 3D point clouds classification network.
Pattern Recognit.
Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang
2023 J jnl
Strong generalization in quantum neural networks.
Quantum Inf. Process.
Jinzhe Jiang, Yaqian Zhao, Rengang Li, Chen Li, Zhenhua Guo, Baoyu Fan, Xuelei Li, Ruyang Li, Xin Zhang
2022 — conf
Towards Interpreting Computer Vision Based on Transformation Invariant Optimization.
ECCV Workshops (6)
Chen Li, Jinzhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, Rengang Li
2021 J jnl
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network.
CoRR
Chen Li, Jinzhe Jiang, Yaqian Zhao, Rengang Li, Endong Wang, Xin Zhang, Kun Zhao
2021 J jnl
Towards interpreting computer vision based on transformation invariant optimization.
CoRR
Chen Li, Jinzhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, Rengang Li
2015 — conf
Abnormal Crowd Motion Detection Using Double Sparse Representations.
IScIDE (1)
Jinzhe Jiang, Ye Tao, Wei Zhao, Xianglong Tang
2013 — conf
Effect analysis and compensation for orbit perturbation of spacecraft using momentum management control.
ICIA
Jinzhe Jiang, Yanan Gao, Lucheng Zhang