Dongpo Xu

发表

Learning Algorithms in Quaternion Neural Networks Using GHR Calculus

Dongpo Xu, Lina Zhang, Huisheng Zhang, 2017 .

Enabling quaternion derivatives: the generalized HR calculus

Dongpo Xu, D. Mandic, C. Jahanchahi, 2014, Royal Society Open Science.

Quaternion Derivatives: The GHR Calculus

Dongpo Xu, D. Mandic, C. Jahanchahi, 2014, 1409.8168.

The Theory of Quaternion Matrix Derivatives

Danilo P. Mandic, Dongpo Xu, Dongpo Xu, 2014, IEEE Transactions on Signal Processing.

Convergence of gradient method for Elman networks

Dongpo Xu, Wei Wu, Zhengxue Li, 2008 .

Last-iterate convergence analysis of stochastic momentum methods for neural networks

Dongpo Xu, J. Kong, Yinghua Lu, 2022, Neurocomputing.

Batch Gradient Training Method with Smoothing Group $$L_0$$ Regularization for Feedfoward Neural Networks

Dongpo Xu, Huisheng Zhang, Jianing Wei, 2022, Neural Processing Letters.

On hyper-parameter selection for guaranteed convergence of RMSProp

Dongpo Xu, Huisheng Zhang, Jinlan Liu, 2022, Cognitive Neurodynamics.

Quaternion Gradient and Hessian

Dongpo Xu, D. Mandic, 2014, ArXiv.

A Scaling Transition Method from SGDM to SGD with 2ExpLR Strategy

Dongpo Xu, Jinlan Liu, Kun Zeng, 2022, Applied Sciences.

Deterministic Convergence of Wirtinger-Gradient Methods for Complex-Valued Neural Networks

Jian Dong, Huisheng Zhang, Dongpo Xu, 2017, Neural Processing Letters.

Convergence of the RMSProp deep learning method with penalty for nonconvex optimization

Danilo P. Mandic, Dongpo Xu, Huisheng Zhang, 2021, Neural Networks.

Quaternion Extreme Learning Machine Based on Real Augmented Representation

Dongpo Xu, Huisheng Zhang, Dehao Chen, 2023, IEEE Signal Processing Letters.

Relaxed conditions for convergence of batch BPAP for feedforward neural networks

Lijun Liu, Jian Wang, Dongpo Xu, 2015, Neurocomputing.

Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms

Danilo P. Mandic, Yili Xia, Dongpo Xu, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Deterministic convergence of chaos injection-based gradient method for training feedforward neural networks

Dongpo Xu, Huisheng Zhang, Ying Zhang, 2014, Cognitive Neurodynamics.

Convergence analysis of an augmented algorithm for fully complex-valued neural networks

Danilo P. Mandic, Huisheng Zhang, Dongpo Xu, 2015, Neural Networks.

A Decreasing Scaling Transition Scheme from Adam to SGD

Kun Zeng, Jinlan Liu, Zhixia Jiang, 2021, Advanced Theory and Simulations.

Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent pdf

Dongpo Xu, Kun Zeng, Jinlan Liu, 2021, ArXiv.

Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case

Dongpo Xu, Jinlan Liu, Meixuan He, 2023, arXiv.org.

Stochastic momentum methods for non-convex learning without bounded assumptions.

Dongpo Xu, Jinlan Liu, Yuqing Liang, 2023, Neural Networks.

UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization

Dongpo Xu, Jinlan Liu, Danilo P. Mandic, 2023, ArXiv.

Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization

Miao Qi, Yinghua Lu, Jun Kong, 2021, Neural Networks.

SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates

Dongpo Xu, Huisheng Zhang, Jinlan Liu, 2022, Neurocomputing.

SGD-rα: A real-time α-suffix averag

Dongpo Xu, Huisheng Zhang, Jinlan Liu, 2022, Neurocomputing.

Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks

Huisheng Zhang, Shuai Zhu, Dongpo Xu, 2020, Neurocomputing.

Convergence analysis for sparse Pi-sigma neural network model with entropy error function

Dongpo Xu, Qinwei Fan, Fengjiao Zheng, 2023, International Journal of Machine Learning and Cybernetics.

Convex Quaternion Optimization for Signal Processing: Theory and Applications

Dongpo Xu, D. Mandic, Shuning Sun, 2023, ArXiv.

Target Detection Based on Improved Hausdorff Distance Matching Algorithm for Millimeter-Wave Radar and Video Fusion

Dongpo Xu, Liang Wang, Yun-xia Liu, 2022, Sensors.