Xiangguang Dai

According to our database, Xiangguang Dai authored at least 31 papers between 2018 and 2026.

Collaborative distances:

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

2026

Hypergraph regularized orthogonal non-negative tensor factorization for semi-supervised clustering.

Xianxiu Zhang, Baicheng Pan, Xiangguang Dai, Xiangqin Dai, Hangjun Che

Internet Things, 2026

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models.

Hao Huang, Wenjie He, Qilie Liu, Qian Liu, Chao Huang, Anwar P. P. Abdul Majeed, Xiangguang Dai, Gang Fang, Xiaohua Xu

CAAI Trans. Intell. Technol., 2026

2025

Balancing Efficiency and Fairness: An Iterative Exchange Framework for Multi-UAV Cooperative Path Planning.

Hongzong Li, Luwei Liao, Xiangguang Dai, Yuming Feng, Rong Feng, Shiqin Tang

CoRR, December, 2025

Distributed Stochastic Learning for Composite Sharing Optimization in Consumer Electronics.

Qingguo Lü, Xiangguang Dai, Wei Zhang, M. R. Ezilarasan

IEEE Trans. Consumer Electron., May, 2025

Blockchain-Based Homomorphic Transaction Framework for Enhanced Consumer Security and Business Scalability.

Tao Guo, Fengjun Shang, Xiangguang Dai, Qilie Liu

IEEE Trans. Consumer Electron., May, 2025

Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering.

Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Decentralized non-convex online optimization with adaptive momentum estimation and quantized communication.

Yunshan Lv, Hailing Xiong, Fuqing Zhang, Shengying Dong, Xiangguang Dai

Complex Intell. Syst., 2025

Unsupervised feature selection based on generalized regression model with linear discriminant constraints.

Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

Complex Intell. Syst., 2025

Statistical Enhancement of ICA-FFT-Based Blind Source Separation in AWGN Conditions.

M. R. Ezilarasan, V. Muthu, G. Kavitha, Man-Fai Leung, Jin Zhang, Xiangguang Dai, Yuming Feng

Proceedings of the Advances in Neural Networks - ISNN 2025, 2025

2024

A New Multi-Branch Convolutional Neural Network and Feature Map Extraction Method for Traffic Congestion Detection.

Shan Jiang, Yuming Feng, Wei Zhang, Xiaofeng Liao, Xiangguang Dai, Babatunde Oluwaseun Onasanya

Sensors, July, 2024

Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures.

M. R. Ezilarasan, D. Preethi, Man-Fai Leung, Hangjun Che, Xiangguang Dai

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

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

A collaborative neurodynamic optimization algorithm to traveling salesman problem.

Jing Zhong, Yuelei Feng, Shuyu Tang, Jiang Xiong, Xiangguang Dai, Nian Zhang

Complex Intell. Syst., 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

Robust semi-supervised non-negative matrix factorization for binary subspace learning.

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

Complex Intell. Syst., 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