Chang Liu

Orcid: 0000-0002-0662-037X

Affiliations:
  • Harbin Engineering University, Harbin, China


According to our database1, Chang Liu authored at least 25 papers between 2012 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
Deep unfolding network with multiple learnable priors for remote sensing image super-resolution.
Earth Sci. Informatics, January, 2026

MambaCast: An Efficient Precipitation Nowcasting Model With Dual-Branch Mamba.
IEEE Geosci. Remote. Sens. Lett., 2026

2025
TA-LSTM: Temporal Attention LSTM for spatiotemporal weather prediction.
Multim. Syst., December, 2025

ST-GRU: spatiotemporal gated recurrent unit for video prediction.
Multim. Syst., June, 2025

TDU-DLNet: A transformer-based deep unfolding network for dictionary learning.
Signal Process., 2025

2024
MEHGNet: a multi-feature extraction and high-resolution generative network for satellite cloud image sequence prediction.
Earth Sci. Informatics, October, 2024

PMSTD-Net: A Neural Prediction Network for Perceiving Multi-Scale Spatiotemporal Dynamics.
Sensors, July, 2024

Improved Precipitation Nowcasting Through a Deep Learning Model Based on Three-Dimensional Cloud Structures.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
MCSPF-Net: A Precipitation Forecasting Method Using Multi-Channel Cloud Observations of FY-4A Satellite by 3D Convolution Neural Network.
Remote. Sens., September, 2023

Correction: Jiang et al. A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites. Remote Sens. 2022, 14, 2314.
Remote. Sens., September, 2023

Discriminative analysis dictionary learning with adaptively ordinal locality preserving.
Neural Networks, August, 2023

MSSTNet: A Multi-Scale Spatiotemporal Prediction Neural Network for Precipitation Nowcasting.
Remote. Sens., January, 2023

2022
An Information Spatial-Temporal Extension Algorithm for Shipborne Predictions Based on Deep Neural Networks with Remote Sensing Observations - Part I: Ocean Temperature.
Remote. Sens., 2022

A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites.
Remote. Sens., 2022

Distributed Analysis Dictionary Learning Using a Diffusion Strategy.
Neural Process. Lett., 2022

Support vector machine embedding discriminative dictionary pair learning for pattern classification.
Neural Networks, 2022

2020
Constrained PSO Based Center Selection for RBF Networks Under Concurrent Fault Situation.
Neural Process. Lett., 2020

2019
Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer.
Vis. Comput., 2019

Orthogonal least squares based center selection for fault-tolerant RBF networks.
Neurocomputing, 2019

2018
Speedup of Network Training Process by Eliminating the Overshoots of Outputs.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

2015
Multifractal theory with its applications in data management.
Ann. Oper. Res., 2015

2014
A route decision method for maritime search and rescue based on novel intelligent water drops algorithm.
Proceedings of the 10th International Conference on Natural Computation, 2014

Design and Simulation of a Modified Firefly Algorithm.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014

A Software Cost Model Considering the Difference between Testing Environment and Operating Environment.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014

2012
A Reliability Verification Test Model Based on Hybrid Bayesian Prior Distribution.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012


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