Liyan Xiong

Orcid: 0009-0008-4557-8494

According to our database1, Liyan Xiong authored at least 25 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
A local global attention based spatiotemporal network for traffic flow forecasting.
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

Multi-scale attention graph convolutional recurrent network for traffic forecasting.
Clust. Comput., June, 2024

SFPANet: Separation and fusion pyramid attention network for crowd counting.
Multim. Tools Appl., April, 2024

Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction.
Neural Process. Lett., February, 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
TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting.
Multim. Syst., December, 2023

Multi-view dynamic graph convolution neural network for traffic flow prediction.
Expert Syst. Appl., July, 2023

Emotion-cause pair extraction based on interactive attention.
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

2022
Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction.
Sensors, 2022

Multi-mode dynamic residual graph convolution network for traffic flow prediction.
Inf. Sci., 2022

One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction.
Neurocomputing, 2022

A multi-mode traffic flow prediction method with clustering based attention convolution LSTM.
Appl. Intell., 2022

A time-dependent attention convolutional LSTM method for traffic flow prediction.
Appl. Intell., 2022

Multistep Coupled Graph Convolution With Temporal-Attention for Traffic Flow Prediction.
IEEE Access, 2022

2020
A Sparse Connected Long Short-Term Memory With Sharing Weight for Time Series Prediction.
IEEE Access, 2020

2019
An Entropy Regularization <i>k</i>-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering.
Entropy, 2019

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

The intensional semantic conceptual graph matching algorithm based on conceptual sub-graph weight self-adjustment.
Int. J. Comput. Sci. Eng., 2018

2016
Clustering time-stamped data using multiple nonnegative matrices factorization.
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
The Chinese Conceptual Graph Matching Algorithm Based on Conceptual Sub-graph Weight Self-Adjustment.
Proceedings of the 2014 Ninth International Conference on P2P, 2014


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