Linchuan Xu

Orcid: 0000-0003-2224-2425

According to our database¹, Linchuan Xu authored at least 31 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation.

[BibT_eX]

[DOI]

Yanjin Li

Linchuan Xu

Kenji Yamanishi

Knowl. Inf. Syst., December, 2024

2023

Multi-layered semantic representation network for multi-label image classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., October, 2023

Network Change Detection Based on Random Walk in Latent Space.

[BibT_eX]

[DOI]

Chuan-hao Lin

Linchuan Xu

Kenji Yamanishi

IEEE Trans. Knowl. Data Eng., June, 2023

VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Contrastive Knowledge Graph Error Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

JDGAN: Enhancing generator on extremely limited data via joint distribution.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multi-label learning with missing and completely unobserved labels.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Generalization Error Bound for Hyperbolic Ordinal Embedding.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Sketch-then-Edit Generative Adversarial Network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

ICANE: interaction content-aware network embedding via co-embedding of nodes and edges.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2020

A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Discovering Latent Class Labels for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multi-task network embedding.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Attributed Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Orderly Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On Exploring Semantic Meanings of Links for Embedding Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

On Learning Community-specific Similarity Metrics for Cold-start Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Embedding Identity and Interest for Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cross View Link Prediction by Learning Noise-resilient Representation Consensus.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Multiple Social Role Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Linchuan Xu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...