Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network. - Xiangguang Dai; Chuandong Li 001; Biqun Xiang (Complex., 2018)

Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes. - Ping Liu; Huaqing Li 001; Xiangguang Dai; Qi Han 004 (Int. J. Syst. Sci., 2018)

A discriminant graph nonnegative matrix factorization approach to computer vision. - Xiangguang Dai; Guo Chen 002; Chuandong Li 001 (Neural Comput. Appl., 2019)

Nonnegative matrix factorization algorithms based on the inertial projection neural network. - Xiangguang Dai; Chuandong Li 001; Xing He 001; Chaojie Li (Neural Comput. Appl., 2019)

Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering. - Xiangguang Dai; Keke Zhang; Juntang Li; Jiang Xiong; Nian Zhang (ISNN, 2020)

Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism. - Yi Yang; Changcheng Xiang; Xiangguang Dai; Liyuan Qi; Tao Dong 001 (ISNN, 2020)

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM). - Nian Zhang; Xiangguang Dai; Md Amimul Ehsan; Tolessa Deksissa (ISNN, 2020)

An Efficient Method of Advertising on Online Social Networks. - Xitao Zou; Huan Liu; Xiangguang Dai; Jiang Xiong; Nian Zhang (ISNN, 2020)

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering. - Xiangguang Dai; Nian Zhang; Keke Zhang; Jiang Xiong (Int. J. Comput. Intell. Syst., 2020)

Robust Manhattan non-negative matrix factorization for image recovery and representation. - Xiangguang Dai; Xiaojie Su; Wei Zhang 158; Fangzheng Xue; Huaqing Li 001 (Inf. Sci., 2020)

Non-negative Matrix Factorization for Binary Space Learning. - Meng Zhang 030; Xiangguang Dai; Xiangqin Dai; Nian Zhang (ICACI, 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)

Robust supervised discrete hashing. - Yao Xiao; Wei Zhang 158; Xiangguang Dai; Xiangqin Dai; Nian Zhang (Neurocomputing, 2022)

Balanced clustering based on collaborative neurodynamic optimization. - Xiangguang Dai; Jun Wang 002; Wei Zhang 158 (Knowl. Based Syst., 2022)

Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers. - Chan Cao; Shuyu Tang; Nian Zhang; Xiangguang Dai; Wei Zhang 158; Yuming Feng; Jiang Xiong; Jinkui Liu; Lara A. Thompson (ICACI, 2023)

Latent multi-view subspace clustering based on Laplacian regularized representation. - Wei Guo; Hangjun Che; Man-Fai Leung; Nankun Mu; Xiangguang Dai; Yuming Feng (ICACI, 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 158; Hangjun Che (ICACI, 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., 2023)

Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures. - M. R. Ezilarasan; D. Preethi; Man-Fai Leung; Hangjun Che; Xiangguang Dai (ISNN, 2024)

A New Multi-Branch Convolutional Neural Network and Feature Map Extraction Method for Traffic Congestion Detection. - Shan Jiang; Yuming Feng; Wei Zhang 158; Xiaofeng Liao; Xiangguang Dai; Babatunde Oluwaseun Onasanya (Sensors, 2024)

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 (ISNN, 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 001 (IEEE Trans. Emerg. Top. Comput. Intell., 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., 2025)

Distributed Stochastic Learning for Composite Sharing Optimization in Consumer Electronics. - Qingguo Lü; Xiangguang Dai; Wei Zhang 158; M. R. Ezilarasan (IEEE Trans. Consumer Electron., 2025)