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ORCIDJinzhe Jiang
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2020 – today
- 2025
[j4]Gan Lin, Jinzhe Jiang, Jing Bai
, Yawen Su, Zenghui Su, Hongshuo Liu:
Frontiers and developments of data augmentation for image: From unlearnable to learnable. Inf. Fusion 114: 102660 (2025)- 2024
- [j3]Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang:
Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509]. Pattern Recognit. 151: 110379 (2024) - [j2]Rusong Wu, Jing Bai, Wenjing Li, Jinzhe Jiang:
DCNet: exploring fine-grained vision classification for 3D point clouds. Vis. Comput. 40(2): 781-797 (2024) - [c4]Qingqing Xiong, Jinzhe Jiang, Chen Li, Xin Zhang, Yaqian Zhao:
Study on The Effect of Encoding Method in Quantum Machine Learning. ICMLC 2024: 94-99 - [i2]Hao Wang, Xin Zhang, Jinzhe Jiang, Yaqian Zhao, Chen Li:
Partially Recentralization Softmax Loss for Vision-Language Models Robustness. CoRR abs/2402.03627 (2024) - 2023
- [j1]Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang:
FGPNet: A weakly supervised fine-grained 3D point clouds classification network. Pattern Recognit. 139: 109509 (2023) - [c3]Chen Li, Hao Wang, Jinzhe Jiang, Xin Zhang, Yaqian Zhao, Weifeng Gong:
Distribution-restrained Softmax Loss for the Model Robustness. AISafety/SafeRL@IJCAI 2023 - [i1]Hao Wang, Chen Li, Jinzhe Jiang, Xin Zhang, Yaqian Zhao, Weifeng Gong:
Distribution-restrained Softmax Loss for the Model Robustness. CoRR abs/2303.12363 (2023)
2010 – 2019
- 2015
- [c2]Jinzhe Jiang, Ye Tao, Wei Zhao, Xianglong Tang:
Abnormal Crowd Motion Detection Using Double Sparse Representations. IScIDE (1) 2015: 249-259 - 2013
- [c1]Jinzhe Jiang, Yanan Gao, Lucheng Zhang:
Effect analysis and compensation for orbit perturbation of spacecraft using momentum management control. ICIA 2013: 741-746
Coauthor Index
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