Xiangguang Dai

According to our database, Xiangguang Dai authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

New Pythagorean fuzzy-based distance operators and their applications in pattern classification and disease diagnostic analysis.

Paul Augustine Ejegwa, Yuming Feng, Shuyu Tang, Johnson Mobolaji Agbetayo, Xiangguang Dai

Neural Comput. Appl., May, 2023

An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning.

Yadi Wang, Xiaoding Guo, Yibo Zhang, Yiyuan Ren, Wendi Huang, Zunyan Liu, Yuming Feng, Xiangguang Dai, Wei Zhang, Hangjun Che

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Latent multi-view subspace clustering based on Laplacian regularized representation.

Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers.

Chan Cao, Shuyu Tang, Nian Zhang, Xiangguang Dai, Wei Zhang, Yuming Feng, Jiang Xiong, Jinkui Liu, Lara A. Thompson

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022

Balanced clustering based on collaborative neurodynamic optimization.

Xiangguang Dai, Jun Wang, Wei Zhang

Knowl. Based Syst., 2022

Robust supervised discrete hashing.

Yao Xiao, Wei Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang

Neurocomputing, 2022

2021

On the Accelerated Convergence of the Decentralized Event-triggered Algorithm for Convex Optimization.

Keke Zhang, Jiang Xiong, Xiangguang Dai

Int. J. Artif. Intell. Tools, 2021

Non-negative Matrix Factorization for Binary Space Learning.

Meng Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020

Robust Manhattan non-negative matrix factorization for image recovery and representation.

Xiangguang Dai, Xiaojie Su, Wei Zhang, Fangzheng Xue, Huaqing Li

Inf. Sci., 2020

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering.

Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong

Int. J. Comput. Intell. Syst., 2020

An Efficient Method of Advertising on Online Social Networks.

Xitao Zou, Huan Liu, Xiangguang Dai, Jiang Xiong, Nian Zhang

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM).

Nian Zhang, Xiangguang Dai, Md Amimul Ehsan, Tolessa Deksissa

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism.

Yi Yang, Changcheng Xiang, Xiangguang Dai, Liyuan Qi, Tao Dong

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering.

Xiangguang Dai, Keke Zhang, Juntang Li, Jiang Xiong, Nian Zhang

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

2019

Nonnegative matrix factorization algorithms based on the inertial projection neural network.

Xiangguang Dai, Chuandong Li, Xing He, Chaojie Li

Neural Comput. Appl., 2019

A discriminant graph nonnegative matrix factorization approach to computer vision.

Xiangguang Dai, Guo Chen, Chuandong Li

Neural Comput. Appl., 2019

2018

Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes.

Ping Liu, Huaqing Li, Xiangguang Dai, Qi Han

Int. J. Syst. Sci., 2018

Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network.

Xiangguang Dai, Chuandong Li, Biqun Xiang

Complex., 2018