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2020 – today
- 2024
[j11]Shan Jiang, Yuming Feng
, Wei Zhang, Xiaofeng Liao, Xiangguang Dai, Babatunde Oluwaseun Onasanya:
A New Multi-Branch Convolutional Neural Network and Feature Map Extraction Method for Traffic Congestion Detection. Sensors 24(13): 4272 (2024)- [c9]M. R. Ezilarasan, D. Preethi, Man-Fai Leung, Hangjun Che, Xiangguang Dai:
Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures. ISNN 2024: 372-381 - 2023
- [j10]Paul Augustine Ejegwa, Yuming Feng, Shuyu Tang, Johnson Mobolaji Agbetayo, Xiangguang Dai:
New Pythagorean fuzzy-based distance operators and their applications in pattern classification and disease diagnostic analysis. Neural Comput. Appl. 35(14): 10083-10095 (2023) - [c8]Chan Cao, Shuyu Tang, Nian Zhang, Xiangguang Dai, Wei Zhang, Yuming Feng, Jiang Xiong, Jinkui Liu, Lara A. Thompson:
Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers. ICACI 2023: 1-5 - [c7]Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng:
Latent multi-view subspace clustering based on Laplacian regularized representation. ICACI 2023: 1-7 - [c6]Yadi Wang, Xiaoding Guo, Yibo Zhang, Yiyuan Ren, Wendi Huang, Zunyan Liu, Yuming Feng, Xiangguang Dai, Wei Zhang, Hangjun Che:
An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning. ICACI 2023: 1-8 - 2022
- [j9]Yao Xiao, Wei Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang:
Robust supervised discrete hashing. Neurocomputing 483: 398-410 (2022) - [j8]Xiangguang Dai, Jun Wang, Wei Zhang:
Balanced clustering based on collaborative neurodynamic optimization. Knowl. Based Syst. 250: 109026 (2022) - 2021
- [j7]Keke Zhang, Jiang Xiong, Xiangguang Dai:
On the Accelerated Convergence of the Decentralized Event-triggered Algorithm for Convex Optimization. Int. J. Artif. Intell. Tools 30(1): 2140003:1-2140003:19 (2021) - [c5]Meng Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang:
Non-negative Matrix Factorization for Binary Space Learning. ICACI 2021: 215-219 - 2020
- [j6]Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong:
Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering. Int. J. Comput. Intell. Syst. 13(1): 734-743 (2020) - [j5]Xiangguang Dai, Xiaojie Su, Wei Zhang, Fangzheng Xue, Huaqing Li:
Robust Manhattan non-negative matrix factorization for image recovery and representation. Inf. Sci. 527: 70-87 (2020) - [c4]Yi Yang, Changcheng Xiang, Xiangguang Dai, Liyuan Qi, Tao Dong:
Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism. ISNN 2020: 61-73 - [c3]Xitao Zou, Huan Liu, Xiangguang Dai, Jiang Xiong, Nian Zhang:
An Efficient Method of Advertising on Online Social Networks. ISNN 2020: 106-116 - [c2]Nian Zhang, Xiangguang Dai, Md Amimul Ehsan, Tolessa Deksissa:
Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM). ISNN 2020: 142-153 - [c1]Xiangguang Dai, Keke Zhang, Juntang Li, Jiang Xiong, Nian Zhang:
Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering. ISNN 2020: 244-250
2010 – 2019
- 2019
- [j4]Xiangguang Dai, Chuandong Li, Xing He, Chaojie Li:
Nonnegative matrix factorization algorithms based on the inertial projection neural network. Neural Comput. Appl. 31(8): 4215-4229 (2019) - [j3]Xiangguang Dai, Guo Chen, Chuandong Li:
A discriminant graph nonnegative matrix factorization approach to computer vision. Neural Comput. Appl. 31(11): 7879-7889 (2019) - 2018
- [j2]Xiangguang Dai, Chuandong Li, Biqun Xiang:
Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network. Complex. 2018: 2743678:1-2743678:12 (2018) - [j1]Ping Liu, Huaqing Li, Xiangguang Dai, Qi Han:
Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes. Int. J. Syst. Sci. 49(6): 1256-1272 (2018)
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last updated on 2024-08-23 19:23 CEST by the dblp team
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