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Longhai Li

Orcid: 0000-0002-3074-8584

According to our database¹, Longhai Li authored at least 22 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2023

Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs.

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Data Sci. Eng., June, 2023

Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning.

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Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345].

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Neurocomputing, 2022

A semi-supervised autoencoder for autism disease diagnosis.

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Neurocomputing, 2022

Deep learning for brain disorder diagnosis based on fMRI images.

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Neurocomputing, 2022

Transformer-Based Representation Learning on Temporal Heterogeneous Graphs.

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Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Leveraging machine learning to advance genome-wide association studies.

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Gabrielle Dagasso

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Int. J. Data Min. Bioinform., 2021

Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data.

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BMC Bioinform., 2021

Study on 1.5μm Laser Properties of Er³⁺/Yb³⁺ Co-doped Fluoroaluminophosphate Glass Fiber Materials.

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Proceedings of the 13th International Conference on Advanced Infocomm Technology, 2021

Efficient Mining of Outlying Sequential Behavior Patterns.

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Jyrki Nummenmaa

Proceedings of the Database Systems for Advanced Applications, 2021

A Graph Attention Neural Network for Diagnosing ASD with fMRI Data.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations.

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Gabrielle Dagasso

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection.

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Matthew G. Links

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Jo-Anne R. Dillon

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Anthony J. Kusalik

BMC Bioinform., 2019

2018

SP-Phoenix: A Massive Spatial Point Data Management System Based on Phoenix.

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Chengqiang Huang

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2016

Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC.

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Stat. Comput., 2016

Computational identification of regions that influence activity of transposable elements in the human genome.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Facile synthesis of copper nanostructures through simple replacement reaction.

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Proceedings of the 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2015

2014

POND: A Novel Protocol for Network Coding Based on Hybrid Cryptographic Scheme.

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Chengqiang Huang

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Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2013

Manipulation of DNA origami nanotubes in liquid using a programmable tapping mode AFM.

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Proceedings of the 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013

2012

Robust descriptive discriminant analysis for repeated measures data.

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Tolulope T. Sajobi

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Bolanle M. Dansu

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William Laverty

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Comput. Stat. Data Anal., 2012

2010

Are Bayesian Inferences Weak for Wasserman's Example?

[DOI]

Commun. Stat. Simul. Comput., 2010

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