Xulun Ye

Orcid: 0000-0003-0353-4748

According to our database1, Xulun Ye authored at least 23 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining.
Neural Process. Lett., April, 2024

A Vision Enhancement and Feature Fusion Multiscale Detection Network.
Neural Process. Lett., February, 2024

SoftmaxU: Open softmax to be aware of unknowns.
Eng. Appl. Artif. Intell., 2024

Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Blind inverse light transport using unrolling network.
Appl. Intell., December, 2023

Harmonized Portrait-Background Image Composition.
Comput. Graph. Forum, September, 2023

Laplacian Lp norm least squares twin support vector machine.
Pattern Recognit., April, 2023

Graph Convolutional Network With Unknown Class Number.
IEEE Trans. Multim., 2023

BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images.
IEEE Trans. Computational Imaging, 2023

Heterogeneous clustering via adversarial deep Bayesian generative model.
Frontiers Comput. Sci., 2023

Integrating biplane information and context for spine landmark detection.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
One-Step Adaptive Spectral Clustering Networks.
IEEE Signal Process. Lett., 2022

mmGaitSet: multimodal based gait recognition for countering carrying and clothing changes.
Appl. Intell., 2022

2021
Deep Bayesian Sparse Subspace Clustering.
IEEE Signal Process. Lett., 2021

Dynamic Relevance Learning for Few-Shot Object Detection.
CoRR, 2021

2020
Bayesian Adversarial Spectral Clustering With Unknown Cluster Number.
IEEE Trans. Image Process., 2020

Cooperation: A new force for boosting generative adversarial nets with dual-network structure.
IET Image Process., 2020

2019
A Nonparametric Deep Generative Model for Multimanifold Clustering.
IEEE Trans. Cybern., 2019

Multi-manifold clustering: A graph-constrained deep nonparametric method.
Pattern Recognit., 2019

Open Set Deep Learning with A Bayesian Nonparametric Generative Model.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
A Nonparametric Model for Multi-Manifold Clustering with Mixture of Gaussians and Graph Consistency.
Entropy, 2018

2017
Local and Global Sparsity for Deep Learning Networks.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Non-rigid 3D Object Retrieval with a Learned Shape Descriptor.
Proceedings of the Image and Graphics - 9th International Conference, 2017


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