Xiaohui Huang
Orcid: 0000-0001-7269-4484Affiliations:
- East China Jiaotong University, School of Information and Software Engineering, Nanchang, China
According to our database1,
Xiaohui Huang
authored at least 48 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction.
Clust. Comput., December, 2024
An offline-to-online reinforcement learning approach based on multi-action evaluation with policy extension.
Appl. Intell., December, 2024
STA-former: encoding traffic flows with spatio-temporal associations in transformer networks for prediction.
Clust. Comput., October, 2024
Clust. Comput., September, 2024
MLANet: multi-level attention network with multi-scale feature fusion for crowd counting.
Clust. Comput., August, 2024
Students and teachers learning together: a robust training strategy for neural network pruning.
Multim. Syst., June, 2024
Clust. Comput., June, 2024
Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer.
Remote. Sens., April, 2024
Neural Process. Lett., February, 2024
MSMT-LCL: Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
SCCGCN: A Skip-Connection Coupled Graph Convolutional Network with Dynamic Fusion Attention Mechanism for Traffic Flow Prediction.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024
2023
Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management.
IEEE Trans. Intell. Transp. Syst., December, 2023
Large Vehicle Scheduling Based on Uncertainty Weighting Harmonic Twin-Critic Network.
IEEE Syst. J., December, 2023
TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting.
Multim. Syst., December, 2023
Effective credit assignment deep policy gradient multi-agent reinforcement learning for vehicle dispatch.
Appl. Intell., October, 2023
MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion.
Appl. Intell., August, 2023
Expert Syst. Appl., July, 2023
Appl. Intell., May, 2023
An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales.
Multim. Tools Appl., April, 2023
SS-TMNet: Spatial-Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification.
Remote. Sens., March, 2023
MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction.
Sensors, January, 2023
2022
Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction.
Sensors, 2022
Inf. Sci., 2022
One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction.
Neurocomputing, 2022
Deep spatio-temporal neural network based on interactive attention for traffic flow prediction.
Appl. Intell., 2022
A multi-mode traffic flow prediction method with clustering based attention convolution LSTM.
Appl. Intell., 2022
Appl. Intell., 2022
Multistep Coupled Graph Convolution With Temporal-Attention for Traffic Flow Prediction.
IEEE Access, 2022
2020
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification.
Remote. Sens., 2020
A Sparse Connected Long Short-Term Memory With Sharing Weight for Time Series Prediction.
IEEE Access, 2020
2019
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net.
IEEE Trans. Geosci. Remote. Sens., 2019
An Entropy Regularization <i>k</i>-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering.
Entropy, 2019
Entropy, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
A new weighting <i>k</i>-means type clustering framework with an <i>l</i><sup>2</sup>-norm regularization.
Knowl. Based Syst., 2018
Neurocomputing, 2018
2017
Neural Process. Lett., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media.
Multim. Tools Appl., 2016
Knowl. Based Syst., 2016
Time series k-means: A new k-means type smooth subspace clustering for time series data.
Inf. Sci., 2016
An estimation model for social relationship strength based on users' profiles, co-occurrence and interaction activities.
Neurocomputing, 2016
2014
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation.
IEEE Trans. Neural Networks Learn. Syst., 2014
Knowl. Based Syst., 2014
2013
J. Softw., 2013