Liyan Xiong
According to our database1,
Liyan Xiong
authored at least 20 papers
between 2014 and 2024.
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Bibliography
2024
Multim. Tools Appl., April, 2024
Neural Process. Lett., February, 2024
2023
TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting.
Multim. Syst., December, 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
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
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
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
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