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2020 – today
- 2024
[j3]Wenhan Jiang, Yuqing Liang, Zhixia Jiang
, Dongpo Xu, Linhua Zhou:
ABNGrad: adaptive step size gradient descent for optimizing neural networks. Appl. Intell. 54(3): 2361-2378 (2024)- 2023
- [c7]Na Li, Wenhan Jiang, Mengqiao Liu, Wanyv Xin:
Object Tracking Algorithm based on Transformer with Temporal Contexts. AIPR 2023: 564-570 - 2022
- [c6]Na Li, Jiale Gao, Ying Liu, Yansheng Zhu, Wenhan Jiang:
Visual Correlation Filter Tracking for UAV Based on Temporal and Spatial Regularization with Boolean Maps. AIPR 2022: 372-377
2010 – 2019
- 2018
- [c5]Wenhan Jiang:
A New Discriminative Ordinal Regression Method. ITQM 2018: 605-612 - 2014
- [c4]Xiaofei Zhou, Wenhan Jiang, Jianlong Tan:
Enhanced Sample Selection for SVM on Face Recognition. APWeb Workshophs 2014: 388-401 - 2011
- [j2]Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian:
Credit risk evaluation with kernel-based affine subspace nearest points learning method. Expert Syst. Appl. 38(4): 4272-4279 (2011) - 2010
- [j1]Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi:
Kernel subclass convex hull sample selection method for SVM on face recognition. Neurocomputing 73(10-12): 2234-2246 (2010) - [c3]Xiaofei Zhou, Wenhan Jiang, Yong Shi:
Credit risk evaluation by using nearest subspace method. ICCS 2010: 2449-2455
2000 – 2009
- 2009
- [c2]Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang:
A New Classification Method for PCA-Based Face Recognition. BIFE 2009: 445-449 - [c1]Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi:
A New Kernel-Based Classification Algorithm. ICDM 2009: 1094-1099
Coauthor Index
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