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2020 – today
- 2025
[j45]Hanger Liu, Yuqing Liang, Jinlan Liu, Dongpo Xu
:
A robust stochastic quasi-Newton algorithm for non-convex machine learning. Appl. Intell. 55(7): 569 (2025)- [j44]Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu:
A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities. Neurocomputing 617: 128988 (2025) - [j43]Wenhan Jiang, Kun Zeng, Zhixia Jiang, Dongpo Xu:
An adaptive gradient method with transformation bound. Neurocomputing 623: 129369 (2025) - [j42]Wenhan Jiang, Jinlan Liu, Naimin Zhang, Dongpo Xu:
DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks. Knowl. Based Syst. 309: 112886 (2025) - [j41]Yuqing Liang, Meixuan He, Jinlan Liu, Dongpo Xu:
Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case. Mach. Learn. 114(3): 75 (2025) - [j40]Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm. Signal Process. 227: 109738 (2025) - [j39]Shuning Sun, Dongpo Xu, Qiankun Diao, Danilo P. Mandic:
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters. IEEE Trans. Signal Process. 73: 508-518 (2025) - [j38]Yiming Jiang, Helei Kang, Jinlan Liu, Dongpo Xu:
On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients. IEEE Trans. Signal Process. 73: 549-558 (2025) - 2024
- [j37]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) - [j36]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization. Neural Comput. 36(9): 1912-1938 (2024) - [j35]Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu:
A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications. Neural Networks 174: 106247 (2024) - [j34]Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li:
Decentralized stochastic sharpness-aware minimization algorithm. Neural Networks 176: 106325 (2024) - [j33]Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu:
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization. Neural Networks 179: 106514 (2024) - [j32]Yuqing Liang, Dongpo Xu, Naimin Zhang, Danilo P. Mandic:
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optim. Lett. 18(9): 2113-2131 (2024) - [j31]Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Qiuping Shen:
Cross-Modal Supervised Human Body Pose Recognition Techniques for Through-Wall Radar. Sensors 24(7): 2207 (2024) - [j30]Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
Price's Theorem for Quaternion Variables. IEEE Signal Process. Lett. 31: 1424-1428 (2024) - [j29]Qiankun Diao, Jinlan Liu, Naimin Zhang, Dongpo Xu:
An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing. IEEE Signal Process. Lett. 31: 2505-2509 (2024) - [j28]Qinwei Fan, Qian Kang, Jacek M. Zurada, Tingwen Huang, Dongpo Xu:
Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18687-18701 (2024) - [j27]Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu:
mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization. IEEE Trans. Signal Process. 72: 1375-1386 (2024) - [c6]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion. IJCNN 2024: 1-8 - [i9]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion. CoRR abs/2402.14227 (2024) - 2023
- [j26]Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic:
Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing 527: 27-35 (2023) - [j25]Huisheng Zhang, Chunmei Qi, Qingqing Ma, Dongpo Xu:
Performance bounds of complex-valued nonlinear estimators in learning systems. Neurocomputing 557: 126681 (2023) - [j24]Qinwei Fan, Fengjiao Zheng, Xiaodi Huang, Dongpo Xu:
Convergence analysis for sparse Pi-sigma neural network model with entropy error function. Int. J. Mach. Learn. Cybern. 14(12): 4405-4416 (2023) - [j23]Yuqing Liang, Jinlan Liu, Dongpo Xu:
Stochastic momentum methods for non-convex learning without bounded assumptions. Neural Networks 165: 830-845 (2023) - [j22]Ying Zhang, Jianing Wei, Dongpo Xu, Huisheng Zhang:
Batch Gradient Training Method with Smoothing Group L0 Regularization for Feedfoward Neural Networks. Neural Process. Lett. 55(2): 1663-1679 (2023) - [j21]Huisheng Zhang, Zaiqiang Wang, Dehao Chen, Shuai Zhu, Dongpo Xu:
Quaternion Extreme Learning Machine Based on Real Augmented Representation. IEEE Signal Process. Lett. 30: 175-179 (2023) - [j20]Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic:
Convex Quaternion Optimization for Signal Processing: Theory and Applications. IEEE Trans. Signal Process. 71: 4106-4115 (2023) - [i8]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization. CoRR abs/2305.05675 (2023) - [i7]Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic:
Convex Quaternion Optimization for Signal Processing: Theory and Applications. CoRR abs/2305.06879 (2023) - [i6]Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu:
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case. CoRR abs/2307.11782 (2023) - [i5]Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took, Yili Xia, Dongpo Xu, Min Xiang, Pauline Bourigault:
The HR-Calculus: Enabling Information Processing with Quaternion Algebra. CoRR abs/2311.16771 (2023) - 2022
- [j19]Jianqi Luo, Jinlan Liu, Dongpo Xu, Huisheng Zhang:
SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. Neurocomputing 487: 1-8 (2022) - [j18]Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu:
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. Neural Networks 145: 300-307 (2022) - [j17]Dongpo Xu, Yunqing Liu, Qian Wang, Liang Wang, Renjun Liu:
Target Detection Based on Improved Hausdorff Distance Matching Algorithm for Millimeter-Wave Radar and Video Fusion. Sensors 22(12): 4562 (2022) - [i4]Dongpo Xu, Jinlan Liu, Yinghua Lu, Jun Kong, Danilo P. Mandic:
Last-iterate convergence analysis of stochastic momentum methods for neural networks. CoRR abs/2205.14811 (2022) - 2021
- [j16]Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic:
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. Neural Networks 139: 17-23 (2021) - [j15]Jingxuan Qiu, Tianyi Qiu, Qingli Dong, Dongpo Xu, Xiang Wang, Qi Zhang, Jing Pan, Qing Liu:
Predicting the Antigenic Relationship of Foot-and-Mouth Disease Virus for Vaccine Selection Through a Computational Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 677-685 (2021) - [i3]Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu:
Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent. CoRR abs/2106.06749 (2021) - [i2]Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu:
Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent. CoRR abs/2106.06753 (2021) - 2020
- [j14]Huisheng Zhang, Ying Zhang, Shuai Zhu, Dongpo Xu:
Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks. Neurocomputing 407: 185-193 (2020)
2010 – 2019
- 2018
- [j13]Huisheng Zhang, Yuanyuan Wang, Dongpo Xu, Jing Wang, Lihong Xu:
The augmented complex-valued extreme learning machine. Neurocomputing 311: 363-372 (2018) - 2017
- [j12]Dongpo Xu, Jian Dong, Huisheng Zhang:
Deterministic Convergence of Wirtinger-Gradient Methods for Complex-Valued Neural Networks. Neural Process. Lett. 45(2): 445-456 (2017) - [j11]Dongpo Xu, Jian Dong, Chengdong Zhang:
Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks. Neural Process. Lett. 46(3): 961-968 (2017) - 2016
- [j10]Dongpo Xu, Yili Xia, Danilo P. Mandic:
Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 27(2): 249-261 (2016) - 2015
- [j9]Hongmei Shao, Jian Wang, Lijun Liu, Dongpo Xu, Wendi Bao:
Relaxed conditions for convergence of batch BPAP for feedforward neural networks. Neurocomputing 153: 174-179 (2015) - [j8]Dongpo Xu, Huisheng Zhang, Danilo P. Mandic:
Convergence analysis of an augmented algorithm for fully complex-valued neural networks. Neural Networks 69: 44-50 (2015) - [j7]Dongpo Xu, Danilo P. Mandic:
The Theory of Quaternion Matrix Derivatives. IEEE Trans. Signal Process. 63(6): 1543-1556 (2015) - 2014
- [j6]Huisheng Zhang, Dongpo Xu, Ying Zhang:
Boundedness and Convergence of Split-Complex Back-Propagation Algorithm with Momentum and Penalty. Neural Process. Lett. 39(3): 297-307 (2014) - [c5]Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic:
A Quaternion Least Mean Phase adaptive estimator. ICASSP 2014: 6419-6423 - [c4]Yili Xia, Cyrus Jahanchahi, Dongpo Xu, Danilo P. Mandic:
The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems. IJCNN 2014: 3395-3401 - [c3]Dongpo Xu, Shuang Liang:
Finite convergence of the learning algorithms for a modified multi-valued neuron. IJCNN 2014: 3414-3419 - [i1]Dongpo Xu, Danilo P. Mandic:
Quaternion Gradient and Hessian. CoRR abs/1406.3587 (2014) - 2013
- [c2]Huisheng Zhang, Xiaodong Liu, Dongpo Xu:
Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks. ISNN (1) 2013: 60-66 - 2012
- [j5]Hongmei Shao, Dongpo Xu, Gaofeng Zheng, Lijun Liu:
Convergence of an online gradient method with inner-product penalty and adaptive momentum. Neurocomputing 77(1): 243-252 (2012) - [j4]Dongpo Xu, Hongmei Shao, Huisheng Zhang:
A new adaptive momentum algorithm for split-complex recurrent neural networks. Neurocomputing 93: 133-136 (2012) - 2011
- [j3]Hongmei Shao, Dongpo Xu, Gaofeng Zheng:
Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks. Neural Process. Lett. 34(3): 221-228 (2011) - 2010
- [j2]Dongpo Xu, Huisheng Zhang, Lijun Liu:
Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks. Neural Comput. 22(10): 2655-2677 (2010) - [j1]Dongpo Xu, Zhengxue Li, Wei Wu:
Convergence of gradient method for a fully recurrent neural network. Soft Comput. 14(3): 245-250 (2010)
2000 – 2009
- 2007
- [c1]Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu:
Convergence of Gradient Descent Algorithm for a Recurrent Neuron. ISNN (3) 2007: 117-122
Coauthor Index
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