Xiangguang Dai

Orcid: 0000-0003-1846-2580

According to our database1, Xiangguang Dai authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A New Multi-Branch Convolutional Neural Network and Feature Map Extraction Method for Traffic Congestion Detection.
Sensors, July, 2024

Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures.
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.
Neural Comput. Appl., May, 2023

An Adaptive Framework of Multimodal Emotion Recognition Based on Collaborative Discriminative Learning.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Latent multi-view subspace clustering based on Laplacian regularized representation.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022
Balanced clustering based on collaborative neurodynamic optimization.
Knowl. Based Syst., 2022

Robust supervised discrete hashing.
Neurocomputing, 2022

2021
On the Accelerated Convergence of the Decentralized Event-triggered Algorithm for Convex Optimization.
Int. J. Artif. Intell. Tools, 2021

Non-negative Matrix Factorization for Binary Space Learning.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020
Robust Manhattan non-negative matrix factorization for image recovery and representation.
Inf. Sci., 2020

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering.
Int. J. Comput. Intell. Syst., 2020

An Efficient Method of Advertising on Online Social Networks.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM).
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

2019
Nonnegative matrix factorization algorithms based on the inertial projection neural network.
Neural Comput. Appl., 2019

A discriminant graph nonnegative matrix factorization approach to computer vision.
Neural Comput. Appl., 2019

2018
Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes.
Int. J. Syst. Sci., 2018

Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network.
Complex., 2018


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