Xinliang Liu

Orcid: 0000-0003-4397-1969

According to our database1, Xinliang Liu authored at least 43 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Determination of earthquake focal mechanism via multi-task learning.
Comput. Geosci., February, 2024

MFFnet: A Seismic Phase Picking Network Based on Multiple Feature Fusion.
IEEE Geosci. Remote. Sens. Lett., 2024

Mitigating spectral bias for the multiscale operator learning.
J. Comput. Phys., 2024

Overview of knowledge reasoning for knowledge graph.
Neurocomputing, 2024

Dilated convolution neural operator for multiscale partial differential equations.
CoRR, 2024

A MgNO Method for Multiphase Flow in Porous Media.
CoRR, 2024

Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations.
CoRR, 2024

A Ghost-Attention Network for Discriminating Tectonic and Non-Tectonic Events on a Small and Imbalanced Dataset.
IEEE Access, 2024

MgNO: Efficient Parameterization of Linear Operators via Multigrid.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists.
Expert Syst. Appl., May, 2023

BTRPP: A Rapid PGA Prediction Model Based on Machine Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

Action-Aware Network with Upper and Lower Limit Loss for Weakly-Supervised Temporal Action Localization.
Neural Process. Lett., 2023

Framelet Message Passing.
CoRR, 2023

Machine reading comprehension combined with semantic dependency for Chinese zero pronoun resolution.
Artif. Intell. Rev., 2023

Neural Network Light Weighting Approach Using Multi-Metric Evaluation of Convolution Kernels.
IEEE Access, 2023

A Relation-Oriented Approach for Complex Entity Relation Extraction.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
HT-Net: Hierarchical Transformer based Operator Learning Model for Multiscale PDEs.
CoRR, 2022

ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition.
CoRR, 2022

Well-Conditioned Spectral Transforms for Dynamic Graph Representation.
Proceedings of the Learning on Graphs Conference, 2022

Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Blockchain-Based Risk Tracing of Animal-Derived Food Supply Chain.
Proceedings of the 2022 2nd International Conference on Algorithms, 2022

2021
Iterated Numerical Homogenization for MultiScale Elliptic Equations with Monotone Nonlinearity.
Multiscale Model. Simul., 2021

Automatic topic labeling using graph-based pre-trained neural embedding.
Neurocomputing, 2021

Spectral Transform Forms Scalable Transformer.
CoRR, 2021

Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients.
CoRR, 2021

Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity.
CoRR, 2021

Automatic Topic Labeling model with Paired-Attention based on Pre-trained Deep Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Semantic Enhanced Subspace Cross-Media Retrieval Based on Quadratic Discriminant Analysis.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2019
Trustworthy Traceability of Quality and Safety for Pig Supply Chain Based on Blockchain.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data.
J. Exp. Theor. Artif. Intell., 2019

Quantifying the Spatio-Temporal Process of Township Urbanization: A Large-Scale Data-Driven Approach.
ISPRS Int. J. Geo Inf., 2019

Disparities in patient record completeness with respect to the health care utilization project.
Health Informatics J., 2019

A Genetic Algorithm Approach to Predictive Modeling of Medicare Payments to Physical Therapists.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018
Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2018

2017
Structural difference histogram representation for texture image classification.
IET Image Process., 2017

University Restaurant Sales Forecast Based on BP Neural Network - In Shanghai Jiao Tong University Case.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Neuro-control of Nonlinear Systems with Unknown Input Constraints.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
A New Paradigm to Analyze Data Completeness of Patient Data.
Appl. Clin. Inform., 2016

A study on the impact of online takeout based on the Baidu index on the management of university cafeteria.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

2013
Improving the Efficiency of Storing SNS Small Files in HDFS.
Proceedings of the Trustworthy Computing and Services, 2013

2011
A web-based geographic hypermedia system: Data model, system design and prototype applications.
Geo spatial Inf. Sci., 2011

2010
Utility-Analytic Approach and Swarm Simulations of Security Policies in Digital Rights Management.
J. Multim., 2010


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