Dongpo Xu

According to our database, Dongpo Xu authored at least 47 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization.

Yuqing Liang, Dongpo Xu, Naimin Zhang, Danilo P. Mandic

Optim. Lett., December, 2024

Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar.

Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Qiuping Shen

Sensors, April, 2024

ABNGrad: adaptive step size gradient descent for optimizing neural networks.

Wenhan Jiang, Yuqing Liang, Zhixia Jiang, Dongpo Xu, Linhua Zhou

Appl. Intell., February, 2024

mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization.

Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu

IEEE Trans. Signal Process., 2024

Price's Theorem for Quaternion Variables.

Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic

IEEE Signal Process. Lett., 2024

An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing.

Qiankun Diao, Jinlan Liu, Naimin Zhang, Dongpo Xu

IEEE Signal Process. Lett., 2024

A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications.

Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu

Neural Networks, 2024

Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization.

Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu

Neural Networks, 2024

Decentralized stochastic sharpness-aware minimization algorithm.

Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li

Neural Networks, 2024

Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion.

Pauline Bourigault, Dongpo Xu, Danilo P. Mandic

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Qinwei Fan, Fengjiao Zheng, Xiaodi Huang, Dongpo Xu

Int. J. Mach. Learn. Cybern., December, 2023

Performance bounds of complex-valued nonlinear estimators in learning systems.

Huisheng Zhang, Chunmei Qi, Qingqing Ma, Dongpo Xu

Neurocomputing, November, 2023

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

Yuqing Liang, Jinlan Liu, Dongpo Xu

Neural Networks, August, 2023

Batch Gradient Training Method with Smoothing Group L₀ Regularization for Feedfoward Neural Networks.

Ying Zhang, Jianing Wei, Dongpo Xu, Huisheng Zhang

Neural Process. Lett., April, 2023

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

Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic

Neurocomputing, March, 2023

Convex Quaternion Optimization for Signal Processing: Theory and Applications.

Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic

IEEE Trans. Signal Process., 2023

Quaternion Extreme Learning Machine Based on Real Augmented Representation.

Huisheng Zhang, Zaiqiang Wang, Dehao Chen, Shuai Zhu, Dongpo Xu

IEEE Signal Process. Lett., 2023

The HR-Calculus: Enabling Information Processing with Quaternion Algebra.

Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took, Yili Xia, Dongpo Xu, Min Xiang, Pauline Bourigault

CoRR, 2023

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

Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu

CoRR, 2023

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

Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic

CoRR, 2023

2022

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

Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Renjun Liu

Sensors, 2022

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

Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu

Neural Networks, 2022

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

Jianqi Luo, Jinlan Liu, Dongpo Xu, Huisheng Zhang

Neurocomputing, 2022

2021

Predicting the Antigenic Relationship of Foot-and-Mouth Disease Virus for Vaccine Selection Through a Computational Model.

Jingxuan Qiu, Tianyi Qiu, Qingli Dong, Dongpo Xu, Xiang Wang, Qi Zhang, Jing Pan, Qing Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic

Neural Networks, 2021

Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent.

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

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

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

2020

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

Huisheng Zhang, Ying Zhang, Shuai Zhu, Dongpo Xu

Neurocomputing, 2020

2018

The augmented complex-valued extreme learning machine.

Huisheng Zhang, Yuanyuan Wang, Dongpo Xu, Jing Wang, Lihong Xu

Neurocomputing, 2018

2017

Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks.

Dongpo Xu, Jian Dong, Chengdong Zhang

Neural Process. Lett., 2017

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

Dongpo Xu, Jian Dong, Huisheng Zhang

Neural Process. Lett., 2017

2016

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

Dongpo Xu, Yili Xia, Danilo P. Mandic

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

The Theory of Quaternion Matrix Derivatives.

Dongpo Xu, Danilo P. Mandic

IEEE Trans. Signal Process., 2015

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

Dongpo Xu, Huisheng Zhang, Danilo P. Mandic

Neural Networks, 2015

Relaxed conditions for convergence of batch BPAP for feedforward neural networks.

Hongmei Shao, Jian Wang, Lijun Liu, Dongpo Xu, Wendi Bao

Neurocomputing, 2015

2014

Boundedness and Convergence of Split-Complex Back-Propagation Algorithm with Momentum and Penalty.

Huisheng Zhang, Dongpo Xu, Ying Zhang

Neural Process. Lett., 2014

Quaternion Gradient and Hessian.

Dongpo Xu, Danilo P. Mandic

CoRR, 2014

Finite convergence of the learning algorithms for a modified multi-valued neuron.

Dongpo Xu, Shuang Liang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems.

Yili Xia, Cyrus Jahanchahi, Dongpo Xu, Danilo P. Mandic

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Quaternion Least Mean Phase adaptive estimator.

Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks.

Huisheng Zhang, Xiaodong Liu, Dongpo Xu

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012

A new adaptive momentum algorithm for split-complex recurrent neural networks.

Dongpo Xu, Hongmei Shao, Huisheng Zhang

Neurocomputing, 2012

Convergence of an online gradient method with inner-product penalty and adaptive momentum.

Hongmei Shao, Dongpo Xu, Gaofeng Zheng, Lijun Liu

Neurocomputing, 2012

2011

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks.

Hongmei Shao, Dongpo Xu, Gaofeng Zheng

Neural Process. Lett., 2011

2010

Convergence of gradient method for a fully recurrent neural network.

Dongpo Xu, Zhengxue Li, Wei Wu

Soft Comput., 2010

Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks.

Dongpo Xu, Huisheng Zhang, Lijun Liu

Neural Comput., 2010

2007

Convergence of Gradient Descent Algorithm for a Recurrent Neuron.

Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu

Proceedings of the Advances in Neural Networks, 2007