Jia Liu

According to our database1, Jia Liu authored at least 30 papers between 2014 and 2021.

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Bibliography

2021
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse Learning-Based Correlation Filter for Robust Tracking.
IEEE Trans. Image Process., 2021

2020
Bipartite Differential Neural Network for Unsupervised Image Change Detection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Nucleus Neural Network: A Data-driven Self-organized Architecture.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning.
IEEE Trans. Evol. Comput., 2019

Deep associative neural network for associative memory based on unsupervised representation learning.
Neural Networks, 2019

Hierarchical Feature-Aware Tracking.
CoRR, 2019

Nucleus Neural Network for Super Robust Learning.
CoRR, 2019

Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.
IEEE Trans. Neural Networks Learn. Syst., 2018

Structure Learning for Deep Neural Networks Based on Multiobjective Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2017

A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing.
IEEE Trans. Evol. Comput., 2017

Deep learning and mapping based ternary change detection for information unbalanced images.
Pattern Recognit., 2017

DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modeling Hebb Learning Rule for Unsupervised Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Memetic algorithm based feature selection for hyperspectral images classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Multi-objective endmember extraction for hyperspectral images.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Neuron Learning Machine for Representation Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2016

Coupled Dictionary Learning for Change Detection From Multisource Data.
IEEE Trans. Geosci. Remote. Sens., 2016

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images.
Soft Comput., 2016

A multiobjective fuzzy clustering method for change detection in SAR images.
Appl. Soft Comput., 2016

Enhancing evolutionary multifactorial optimization based on particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Local Statistical Fuzzy Active Contour Model for Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2015

Change detection in synthetic aperture radar images based on unsupervised artificial immune systems.
Appl. Soft Comput., 2015

2014
Deep learning to classify difference image for image change detection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy C-means clustering with weighted energy function in MRF for image segmentation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014


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