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2020 – today
- 2023
[j21]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)- [j20]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) - 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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