Min Xia
Orcid: 0000-0003-4681-9129Affiliations:
- Nanjing University of Information Science and Technology, Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing, China
- Donghua University, College of Information Science and Technology, Shanghai, China (PhD)
According to our database1,
Min Xia
authored at least 111 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems.
IEEE Internet Things J., December, 2024
SPNet: Dual-Branch Network with Spatial Supplementary Information for Building and Water Segmentation of Remote Sensing Images.
Remote. Sens., September, 2024
Remote. Sens., September, 2024
Optimizing Attention in a Transformer for Multihorizon, Multienergy Load Forecasting in Integrated Energy Systems.
IEEE Trans. Ind. Informatics, August, 2024
Artif. Intell. Rev., August, 2024
MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation.
Remote. Sens., June, 2024
An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data.
Remote. Sens., June, 2024
A Multi-Scale Spatial-Temporal Graph Neural Network-Based Method of Multienergy Load Forecasting in Integrated Energy System.
IEEE Trans. Smart Grid, May, 2024
AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images.
Remote. Sens., May, 2024
Multi-Scale Fusion Siamese Network Based on Three-Branch Attention Mechanism for High-Resolution Remote Sensing Image Change Detection.
Remote. Sens., May, 2024
Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images.
Neural Comput. Appl., May, 2024
MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images.
Remote. Sens., April, 2024
MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion.
Remote. Sens., April, 2024
Artif. Intell. Rev., February, 2024
Remote. Sens., January, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Knowl. Based Syst., 2024
Neurocomputing, 2024
Multi-granularity siamese transformer-based change detection in remote sensing imagery.
Eng. Appl. Artif. Intell., 2024
Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection.
IEEE Access, 2024
2023
Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton.
Sensors, December, 2023
Int. J. Mach. Learn. Cybern., November, 2023
MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation.
Remote. Sens., October, 2023
Cross-view adaptive graph attention network for dynamic facial expression recognition.
Multim. Syst., October, 2023
Bitemporal Remote Sensing Image Change Detection Network Based on Siamese-Attention Feedback Architecture.
Remote. Sens., September, 2023
DAFNet: A Novel Change-Detection Model for High-Resolution Remote-Sensing Imagery Based on Feature Difference and Attention Mechanism.
Remote. Sens., August, 2023
LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow Segmentation.
Remote. Sens., August, 2023
Attentional weighting strategy-based dynamic GCN for skeleton-based action recognition.
Multim. Syst., August, 2023
ISPRS Int. J. Geo Inf., June, 2023
AWL-GCN: Branch Parameter Identification Considering Grid Spatial Structure Constraints.
IEEE Trans. Ind. Informatics, May, 2023
MBCNet: Multi-Branch Collaborative Change-Detection Network Based on Siamese Structure.
Remote. Sens., May, 2023
CRSNet: Cloud and Cloud Shadow Refinement Segmentation Networks for Remote Sensing Imagery.
Remote. Sens., March, 2023
Double Branch Parallel Network for Segmentation of Buildings and Waters in Remote Sensing Images.
Remote. Sens., March, 2023
Attention-guided siamese networks for change detection in high resolution remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images.
Remote. Sens., February, 2023
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens., 2023
Multiscale Attention Feature Aggregation Network for Cloud and Cloud Shadow Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network.
Syst., 2023
Sgformer: A Local and Global Features Coupling Network for Semantic Segmentation of Land Cover.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
ResAt-UNet: A U-Shaped Network Using ResNet and Attention Module for Image Segmentation of Urban Buildings.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Remote. Sens., 2023
Eng. Appl. Artif. Intell., 2023
A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network.
Eng. Appl. Artif. Intell., 2023
Biomed. Signal Process. Control., 2023
2022
Remote. Sens., December, 2022
IEEE Trans. Geosci. Remote. Sens., 2022
LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory.
Sensors, 2022
Remote. Sens., 2022
Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing.
Remote. Sens., 2022
Remote. Sens., 2022
Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network.
ISPRS Int. J. Geo Inf., 2022
Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image.
ISPRS Int. J. Geo Inf., 2022
Expert Syst. Appl., 2022
Predicting and interpreting financial distress using a weighted boosted tree-based tree.
Eng. Appl. Artif. Intell., 2022
Appl. Intell., 2022
2021
Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation.
Remote. Sens., 2021
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover.
Remote. Sens., 2021
A novel federated learning approach based on the confidence of federated Kalman filters.
Int. J. Mach. Learn. Cybern., 2021
DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover.
ISPRS Int. J. Geo Inf., 2021
Non-Local Feature Search Network for Building and Road Segmentation of Remote Sensing Image.
ISPRS Int. J. Geo Inf., 2021
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow.
Comput. Geosci., 2021
Step-wise multi-grained augmented gradient boosting decision trees for credit scoring.
Eng. Appl. Artif. Intell., 2021
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
IEEE Trans. Inf. Forensics Secur., 2020
Remote. Sens., 2020
Neural Comput. Appl., 2020
Int. J. Pattern Recognit. Artif. Intell., 2020
Portfolio trading system of digital currencies: A deep reinforcement learning with multidimensional attention gating mechanism.
Neurocomputing, 2020
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network.
ISPRS Int. J. Geo Inf., 2020
Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest<sup>☆</sup>.
Comput. Geosci., 2020
Non-intrusive load disaggregation based on composite deep long short-term memory network.
Expert Syst. Appl., 2020
2019
Neural Comput. Appl., 2019
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
2018
基于深度极限学习机的卫星云图云量计算 (Satellite Imagery Cloud Fraction Based on Deep Extreme Learning Machine).
计算机科学, 2018
J. Intell. Fuzzy Syst., 2018
Electric power communication bandwidth prediction based on adaptive extreme learning machine.
Int. J. Embed. Syst., 2018
Two-Stream Designed 2D/3D Residual Networks with Lstms for Action Recognition in Videos.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
Detecting video frame rate up-conversion based on frame-level analysis of average texture variation.
Multim. Tools Appl., 2017
2016
Bandwidth Forecasting for Power Communication Using Adaptive Extreme Learning Machine.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016
2015
Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network.
Int. J. Syst. Sci., 2015
A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image.
Neurocomputing, 2015
2014
Neural Comput., 2014
Knowl. Based Syst., 2014
Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination.
Neurocomputing, 2014
2012
Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs.
Knowl. Based Syst., 2012
Proceedings of the Computational Intelligence and Intelligent Systems, 2012
2011
Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity.
Neural Comput. Appl., 2011
Neurocomputing, 2011
Expert Syst. Appl., 2011
2010
Neurocomputing, 2010
2009
Robust sequence memory in sparsely-connected networks with controllable steady-state period.
Neurocomputing, 2009
Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays.
Neurocomputing, 2009
2008
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008