Xinyue Liang

Orcid: 0000-0003-4406-536X

According to our database1, Xinyue Liang authored at least 29 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bidirectional Layout-Semantic-Pixel Joint Decoupling and Embedding Network for Remote Sensing Colorization.
IEEE Trans. Geosci. Remote. Sens., 2024

SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Three-dimensional ultrashort echo time magnetic resonance imaging in pediatric patients with pneumonia: a comparative study.
BMC Medical Imaging, December, 2023

DITN: User's indirect side-information involved domain-invariant feature transfer network for cross-domain recommendation.
Inf. Process. Manag., November, 2023

Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction.
Expert Syst. Appl., June, 2023

A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2023

Semantic Category Balance-Aware Involved Anti-Interference Network for Remote Sensing Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior.
CoRR, 2023

Relevance and Irrelevance Considered Subspace Mapping Neural Networks for Remote Sensing Text-Image Retrieval.
Proceedings of the ACM Multimedia Asia 2023, 2023

Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Inpainting of Remote Sensing Sea Surface Temperature image with Multi-scale Physical Constraints.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
TCP/IP Model for Metaverse Networks and Some Potential Applications.
J. Softw., 2022

The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology.
BMC Medical Imaging, 2022

Decentralized learning of randomization-based neural networks with centralized equivalence.
Appl. Soft Comput., 2022

Single-Image Rain Removal Network Based on an Attention Mechanism and a Residual Structure.
IEEE Access, 2022

A Study on Screen Logging Risks of Secure Keyboards of Android Financial Apps.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Deterministic Transform Based Weight Matrices for Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Decentralized Learning of Randomization-based Neural Networks.
PhD thesis, 2021

Asynchronous Decentralized Learning of Randomization-Based Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Feature Reuse for a Randomization Based Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University.
CoRR, 2020

Asynchronous Decentralized Learning of a Neural Network.
CoRR, 2020

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Forecasting Tuberculosis Incidence in China using Baidu Index: A Comparative Study.
Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

Asynchrounous Decentralized Learning of a Neural Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead.
Proceedings of the 28th European Signal Processing Conference, 2020

Adaptive Learning without Forgetting via Low-Complexity Convex Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2018
Distributed Large Neural Network with Centralized Equivalence.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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