Dongpo Xu - RankMe

76 papers B 3Misc 1Journal 70Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel parameter-free filled function method for global optimization and solving nonlinear equation systems. J. Frankl. Inst. Jinlan Liu, Helei Kang, Renyun Liu, Dongpo Xu
2026	J	`jnl`	A random reshuffling method for generalized Sylvester quaternion matrix equations. J. Comput. Appl. Math. Qiankun Diao, Yiming Jiang, Jinlan Liu, Dongpo Xu
2026	J	`jnl`	A unified theoretical framework for the last-iterate convergence of stochastic adaptive optimization. Artif. Intell. Yuqing Liang, Dongpo Xu
2026	J	`jnl`	An efficient low-complexity stochastic BFGS algorithm using matrix diagonal approximations for nonconvex optimization in machine learning. J. Comput. Appl. Math. Hanger Liu, Jinlan Liu, Naimin Zhang, Dongpo Xu
2026	J	`jnl`	QLMS-QHM: Accelerated Quaternion LMS Algorithm With Quasi-Hyperbolic Momentum. IEEE Trans. Signal Process. Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic
2026	J	`jnl`	Quaternion Phase Retrieval via the Alternating Direction Method of Multipliers. IEEE Signal Process. Lett. Rashid Iqbal, Qiankun Diao, Shuning Sun, Dongpo Xu
2026	J	`jnl`	SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization. Neural Networks Jinlan Liu, Hanger Liu, Xin Deng, Dongpo Xu
2025	J	`jnl`	A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities. Neurocomputing Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu
2025	J	`jnl`	A new algorithm for removing random motion noise of human body based on total variation. Biomed. Signal Process. Control. Yunqing Liu, Jiaqi Shang, Wei Chu, Fei Yan, Dongpo Xu, Siyuan Wu, He Huang, Xin Chen
2025	J	`jnl`	A robust stochastic quasi-Newton algorithm for non-convex machine learning. Appl. Intell. Hanger Liu, Yuqing Liang, Jinlan Liu, Dongpo Xu
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`	Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case. Mach. Learn. Yuqing Liang, Meixuan He, Jinlan Liu, Dongpo Xu
2025	J	`jnl`	Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters. IEEE Trans. Signal Process. Shuning Sun, Dongpo Xu, Qiankun Diao, Danilo P. Mandic
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`	Iterative methods for the generalized Sylvester quaternion matrix equations using the ADMM approach. J. Frankl. Inst. Qiankun Diao, Jinlan Liu, Hongmei Shao, Dongpo Xu
2025	J	`jnl`	Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality. J. Mach. Learn. Res. Yuqing Liang, Dongpo Xu
2025	J	`jnl`	NRIP: A Model for NNRTI-RT Interaction Prediction and Enabling Virtual Screening of Anti-HIV Natural Compounds. J. Chem. Inf. Model. Jingxuan Qiu, Yuxi Zhang, Mengdie Hu, Zhiyu Huang, Zhongxu Han, Jile Wan, Yiwen Wei, Junting Xie, Dong Zhang, Xiaochuan Luo, Haoxiang Wang, Dongpo Xu, Tianyi Qiu
2025	J	`jnl`	On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients. IEEE Trans. Signal Process. Yiming Jiang, Helei Kang, Jinlan Liu, Dongpo Xu
2025	J	`jnl`	Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm. Signal Process. Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic
2025	J	`jnl`	PbsNRs: predict the potential binders and scaffolds for nuclear receptors. Briefings Bioinform. Genhui Zheng, Dingfeng Wu, Xiuxia Wei, Dongpo Xu, Tiantian Mao, Deyu Yan, Wenhao Han, Xiaoxiao Shang, Zikun Chen, Jingxuan Qiu, Kailin Tang, Zhiwei Cao, Tianyi Qiu
2025	J	`jnl`	Physically-inspired frequency decomposition and fusion network for robust nighttime flare removal. Signal Image Video Process. Zerun Zhang, Yunqing Liu, Fei Yan, Dongpo Xu
2025	J	`jnl`	Sharpness-Aware Minimization method with momentum acceleration for deep neural networks. Knowl. Based Syst. Helei Kang, Yiming Jiang, Jinlan Liu, Dongpo Xu
2025	J	`jnl`	Time-Averaged ACLMS Algorithm for Improper Cyclostationary Inputs: Performance Analysis and Application to Interference-Limited Systems. IEEE Trans. Signal Process. Zhe Li, Yangyang Gu, Jingen Ni, Honglei Jin, Dongpo Xu, Danilo P. Mandic
2024	J	`jnl`	A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications. Neural Networks Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu
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
2024	J	`jnl`	Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optim. Lett. Yuqing Liang, Dongpo Xu, Naimin Zhang, Danilo P. Mandic
2024	J	`jnl`	An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing. IEEE Signal Process. Lett. Qiankun Diao, Jinlan Liu, Naimin Zhang, Dongpo Xu
2024	J	`jnl`	Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. Qinwei Fan, Qian Kang, Jacek M. Zurada, Tingwen Huang, Dongpo Xu
2024	J	`jnl`	Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar. Sensors Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Qiuping Shen
2024	J	`jnl`	Decentralized stochastic sharpness-aware minimization algorithm. Neural Networks Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li
2024	J	`jnl`	Price's Theorem for Quaternion Variables. IEEE Signal Process. Lett. Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic
2024	B	`conf`	Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion. IJCNN Pauline Bourigault, Dongpo Xu, Danilo P. Mandic
2024	J	`jnl`	Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion. CoRR Pauline Bourigault, Dongpo Xu, Danilo P. Mandic
2024	J	`jnl`	Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization. Neural Networks Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu
2024	J	`jnl`	UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization. Neural Comput. Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic
2024	J	`jnl`	mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization. IEEE Trans. Signal Process. Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu
2023	J	`jnl`	Batch Gradient Training Method with Smoothing Group L Neural Process. Lett. Ying Zhang, Jianing Wei, Dongpo Xu, Huisheng Zhang
2023	J	`jnl`	Convergence analysis for sparse Pi-sigma neural network model with entropy error function. Int. J. Mach. Learn. Cybern. Qinwei Fan, Fengjiao Zheng, Xiaodi Huang, Dongpo Xu
2023	J	`jnl`	Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case. CoRR Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu
2023	J	`jnl`	Convex Quaternion Optimization for Signal Processing: Theory and Applications. CoRR Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic
2023	J	`jnl`	Convex Quaternion Optimization for Signal Processing: Theory and Applications. IEEE Trans. Signal Process. Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic
2023	J	`jnl`	Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic
2023	J	`jnl`	Performance bounds of complex-valued nonlinear estimators in learning systems. Neurocomputing Huisheng Zhang, Chunmei Qi, Qingqing Ma, Dongpo Xu
2023	J	`jnl`	Quaternion Extreme Learning Machine Based on Real Augmented Representation. IEEE Signal Process. Lett. Huisheng Zhang, Zaiqiang Wang, Dehao Chen, Shuai Zhu, Dongpo Xu
2023	J	`jnl`	Stochastic momentum methods for non-convex learning without bounded assumptions. Neural Networks Yuqing Liang, Jinlan Liu, Dongpo Xu
2023	J	`jnl`	The HR-Calculus: Enabling Information Processing with Quaternion Algebra. CoRR Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took, Yili Xia, Dongpo Xu, Min Xiang, Pauline Bourigault
2023	J	`jnl`	UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization. CoRR Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic
2022	J	`jnl`	Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. Neural Networks Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu
2022	J	`jnl`	Last-iterate convergence analysis of stochastic momentum methods for neural networks. CoRR Dongpo Xu, Jinlan Liu, Yinghua Lu, Jun Kong, Danilo P. Mandic
2022	J	`jnl`	SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. Neurocomputing Jianqi Luo, Jinlan Liu, Dongpo Xu, Huisheng Zhang
2022	J	`jnl`	Target Detection Based on Improved Hausdorff Distance Matching Algorithm for Millimeter-Wave Radar and Video Fusion. Sensors Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Renjun Liu
2021	J	`jnl`	Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. Neural Networks Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic
2021	J	`jnl`	Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent. CoRR Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
2021	J	`jnl`	Predicting the Antigenic Relationship of Foot-and-Mouth Disease Virus for Vaccine Selection Through a Computational Model. IEEE ACM Trans. Comput. Biol. Bioinform. Jingxuan Qiu, Tianyi Qiu, Qingli Dong, Dongpo Xu, Xiang Wang, Qi Zhang, Jing Pan, Qing Liu
2021	J	`jnl`	Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent. CoRR Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
2020	J	`jnl`	Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks. Neurocomputing Huisheng Zhang, Ying Zhang, Shuai Zhu, Dongpo Xu
2018	J	`jnl`	The augmented complex-valued extreme learning machine. Neurocomputing Huisheng Zhang, Yuanyuan Wang, Dongpo Xu, Jing Wang, Lihong Xu
2017	J	`jnl`	Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks. Neural Process. Lett. Dongpo Xu, Jian Dong, Chengdong Zhang
2017	J	`jnl`	Deterministic Convergence of Wirtinger-Gradient Methods for Complex-Valued Neural Networks. Neural Process. Lett. Dongpo Xu, Jian Dong, Huisheng Zhang
2016	J	`jnl`	Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. Dongpo Xu, Yili Xia, Danilo P. Mandic
2015	J	`jnl`	Convergence analysis of an augmented algorithm for fully complex-valued neural networks. Neural Networks Dongpo Xu, Huisheng Zhang, Danilo P. Mandic
2015	J	`jnl`	Relaxed conditions for convergence of batch BPAP for feedforward neural networks. Neurocomputing Hongmei Shao, Jian Wang, Lijun Liu, Dongpo Xu, Wendi Bao
2015	J	`jnl`	The Theory of Quaternion Matrix Derivatives. IEEE Trans. Signal Process. Dongpo Xu, Danilo P. Mandic
2014	Misc	`conf`	A Quaternion Least Mean Phase adaptive estimator. ICASSP Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic
2014	J	`jnl`	Boundedness and Convergence of Split-Complex Back-Propagation Algorithm with Momentum and Penalty. Neural Process. Lett. Huisheng Zhang, Dongpo Xu, Ying Zhang
2014	B	`conf`	Finite convergence of the learning algorithms for a modified multi-valued neuron. IJCNN Dongpo Xu, Shuang Liang
2014	J	`jnl`	Quaternion Gradient and Hessian. CoRR Dongpo Xu, Danilo P. Mandic
2014	B	`conf`	The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems. IJCNN Yili Xia, Cyrus Jahanchahi, Dongpo Xu, Danilo P. Mandic
2013	—	`conf`	Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks. ISNN (1) Huisheng Zhang, Xiaodong Liu, Dongpo Xu
2012	J	`jnl`	A new adaptive momentum algorithm for split-complex recurrent neural networks. Neurocomputing Dongpo Xu, Hongmei Shao, Huisheng Zhang
2012	J	`jnl`	Convergence of an online gradient method with inner-product penalty and adaptive momentum. Neurocomputing Hongmei Shao, Dongpo Xu, Gaofeng Zheng, Lijun Liu
2011	J	`jnl`	Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks. Neural Process. Lett. Hongmei Shao, Dongpo Xu, Gaofeng Zheng
2010	J	`jnl`	Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks. Neural Comput. Dongpo Xu, Huisheng Zhang, Lijun Liu
2010	J	`jnl`	Convergence of gradient method for a fully recurrent neural network. Soft Comput. Dongpo Xu, Zhengxue Li, Wei Wu
2007	—	`conf`	Convergence of Gradient Descent Algorithm for a Recurrent Neuron. ISNN (3) Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu