Liyun Su

Orcid: 0000-0001-7150-2161

According to our database1, Liyun Su authored at least 28 papers between 2009 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BLS-AttnTCN: attention temporal convolutional fusion networks with broad learning system for multidimensional chaotic time series prediction.
Expert Syst. Appl., 2026

Adaptive graph convolution neural networks with spatial and frequency domain attention mechanism for traffic flow forecasting.
Appl. Soft Comput., 2026

2025
Time-mixing broad learning system for predicting multidimensional chaotic time series.
Clust. Comput., November, 2025

CT-DDPM: Anomaly detection of multivariate time series with copula and transformer-based denoising diffusion probabilistic models.
Inf. Sci., 2025

Kernel broad learning cauchy conjugate gradient algorithm for online chaotic time series prediction.
Neurocomputing, 2025

Enhanced Multidimensional Nonlinear Correlation via Phase Reconstruction and Broad Learning for Distributed Fusion Detection of Weak Pulse Signals.
Int. J. Intell. Syst., 2025

A variational quantum circuits architecture with multi-head attention for chaotic time series prediction.
Complex Intell. Syst., 2025

2024
DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures.
Briefings Bioinform., September, 2024

A classification method of fuzzy semi-supervised support vector machines for the problems of imbalance.
Int. J. Wavelets Multiresolution Inf. Process., January, 2024

Generalized spatial-temporal regression graph convolutional transformer for traffic forecasting.
Complex Intell. Syst., 2024

Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time series prediction.
Appl. Soft Comput., 2024

2023
PSR-LSTM model for weak pulse signal detection.
Multim. Tools Appl., September, 2023

Structural design and active disturbance rejection control of rigid-flexible coupling motion stage for nanopositioning.
J. Frankl. Inst., February, 2023

Multi-Attn BLS: Multi-head attention mechanism with broad learning system for chaotic time series prediction.
Appl. Soft Comput., 2023

2022
Weak Harmonic Signal Detecting in Chaotic Noise Based on Empirical Likelihood Ratio.
Wirel. Pers. Commun., 2022

Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA.
J. Sensors, 2022

Double-layer robust broad logistic regression for detecting weak pulse signal in chaotic interference.
Digit. Signal Process., 2022

2021
Detection Fusion of Weak Signal under Chaotic Noise Based on Distributed System.
J. Sensors, 2021

Distributed Sensor Local Linear Fusion Detection of Weak Pulse Signal in Chaotic Background.
J. Sensors, 2021

Prediction of Chaotic Time Series Based on BEN-AGA Model.
Complex., 2021

2020
Statistical Detection of Weak Pulse Signal under Chaotic Noise Based on Elman Neural Network.
Wirel. Commun. Mob. Comput., 2020

Estimating Weak Pulse Signal in Chaotic Background with Jordan Neural Network.
Complex., 2020

2017
Extracting Narrow-Band Signal from a Chaotic Background with LLVCR.
Wirel. Pers. Commun., 2017

2012
Noise Immunity of Duffing Oscillator And Its Applications in Weak UWB Signal Detection.
J. Networks, 2012

2011
Blind Image Restoration with Modified CMA.
Int. J. Image Graph., 2011

2010
Prediction of multivariate chaotic time series with local polynomial fitting.
Comput. Math. Appl., 2010

2009
A New Covert Image Communication Approach with HVS and GFCM.
Proceedings of the Fuzzy Information and Engineering, 2009

<i>ωθ</i>-Convergence Theory of Ideals in <i>Lω</i>-Spaces.
Proceedings of the Fuzzy Information and Engineering, 2009


  Loading...