Wenhan Jiang

14 papers A* 1Misc 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AdaVAM: Adaptive variance-aware momentum for accelerating deep neural network training.
Knowl. Based Syst.
Jinlan Liu, Wenhan Jiang, Xin Deng, Dongpo Xu
2025 J jnl
An adaptive gradient method with transformation bound.
Neurocomputing
Wenhan Jiang, Kun Zeng, Zhixia Jiang, Dongpo Xu
2025 J jnl
DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks.
Knowl. Based Syst.
Wenhan Jiang, Jinlan Liu, Naimin Zhang, Dongpo Xu
2025 J jnl
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph.
CoRR
Wenhan Jiang, Tingting Chai, Hongri Liu, Kai Wang, Hongke Zhang
2024 J jnl
ABNGrad: adaptive step size gradient descent for optimizing neural networks.
Appl. Intell.
Wenhan Jiang, Yuqing Liang, Zhixia Jiang, Dongpo Xu, Linhua Zhou
2023 — conf
Object Tracking Algorithm based on Transformer with Temporal Contexts.
AIPR
Na Li, Wenhan Jiang, Mengqiao Liu, Wanyv Xin
2022 — conf
Visual Correlation Filter Tracking for UAV Based on Temporal and Spatial Regularization with Boolean Maps.
AIPR
Na Li, Jiale Gao, Ying Liu, Yansheng Zhu, Wenhan Jiang
2018 — conf
A New Discriminative Ordinal Regression Method.
ITQM
Wenhan Jiang
2014 — conf
Enhanced Sample Selection for SVM on Face Recognition.
APWeb Workshophs
Xiaofei Zhou, Wenhan Jiang, Jianlong Tan
2011 J jnl
Credit risk evaluation with kernel-based affine subspace nearest points learning method.
Expert Syst. Appl.
Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian
2010 Misc conf
Credit risk evaluation by using nearest subspace method.
ICCS
Xiaofei Zhou, Wenhan Jiang, Yong Shi
2010 J jnl
Kernel subclass convex hull sample selection method for SVM on face recognition.
Neurocomputing
Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi
2009 — conf
A New Classification Method for PCA-Based Face Recognition.
BIFE
Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang
2009 A* conf
A New Kernel-Based Classification Algorithm.
ICDM
Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi