Boyue Wang

Orcid: 0000-0002-2677-8342

According to our database¹, Boyue Wang authored at least 49 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Mixed-Modality Clustering via Generative Graph Structure Matching.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2024

Parallelly Adaptive Graph Convolutional Clustering Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A plug-and-play image enhancement model for end-to-end object detection in low-light condition.

[BibT_eX]

[DOI]

Multim. Syst., February, 2024

Multi-Level Interaction Based Knowledge Graph Completion.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

In-context Learning for Automated Driving Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

VIG: Visual Information-Guided Knowledge-Based Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

TDN: Triplet Distributor Network for Knowledge Graph Completion.

[BibT_eX]

[DOI]

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

Hierarchical Graph Convolutional Networks for Structured Long Document Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

DSGEM: Dual scene graph enhancement module-based visual question answering.

[BibT_eX]

[DOI]

IET Comput. Vis., September, 2023

Graph structure learning layer and its graph convolution clustering application.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering.

[BibT_eX]

[DOI]

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

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., April, 2023

STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

Multi-Concept Representation Learning for Knowledge Graph Completion.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2022

Multi-graph convolutional clustering network.

[BibT_eX]

[DOI]

IET Signal Process., 2022

2021

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Robust Image Representation via Low Rank Locality Preserving Projection.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

AKM<sup>3</sup>C: Adaptive K-Multiple-Means for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

TRFH: towards real-time face detection and head pose estimation.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2021

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.

[BibT_eX]

[DOI]

IET Comput. Vis., 2021

2020

Spatio-Temporal Memory Attention for Image Captioning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

2018

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Localized LRR on Grassmann Manifold: An Extrinsic View.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Low Rank Representation on SPD matrices with Log-Euclidean metric.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Localized LRR on Grassmann Manifolds: An Extrinsic View.

[BibT_eX]

[DOI]

CoRR, 2017

Locality Preserving Projections for Grassmann manifold.

[BibT_eX]

[DOI]

CoRR, 2017

Locality Preserving Projections for Grassmann manifold.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance.

[BibT_eX]

[DOI]

CoRR, 2016

Kernelized LRR on Grassmann Manifolds for Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2016

Low-rank representation based traffic data completion method.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Recognition on Grassmann manifolds via parametric modelling.

[BibT_eX]

[DOI]

Muhammad Ali

Michael Antolovich

Boyue Wang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Density estimation on Stiefel manifolds using matrix-Fisher model.

[BibT_eX]

[DOI]

Muhammad Ali

Michael Antolovich

Boyue Wang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Product Grassmann Manifold Representation and Its LRR Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective.

[BibT_eX]

[DOI]

CoRR, 2015

Kernelized Low Rank Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Low Rank Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2014, 2014

Boyue Wang

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