Qianqian Wang

Orcid: 0000-0001-8217-5952

Affiliations:

Xidian University, School of Telecommunications Engineering, X'ian China
Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China (PhD 2019)

According to our database¹, Qianqian Wang authored at least 70 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Mixed-Modality Clustering via Generative Graph Structure Matching.

[BibT_eX]

[DOI]

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

Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, October, 2024

Multi-View Subspace Clustering via Structured Multi-Pathway Network.

[BibT_eX]

[DOI]

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

Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Efficient Anchor Graph Factorization for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Efficient Multi-View -Means for Image Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Deep cross-modal subspace clustering with Contrastive Neighbour Embedding.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Anchor graph-based multiview spectral clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Fuzzy K-Means Clustering without Cluster Centroids.

[BibT_eX]

[DOI]

CoRR, 2024

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2024

DFMVC: Deep Fair Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Federated Fuzzy C-means with Schatten-p Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Clustering Based on Deep Non-negative Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Label Learning Method Based on Tensor Projection.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Multi-View Clustering via Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Embedded Feature Selection on Graph-Based Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tensorized Label Learning on Anchor Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Partial Multi-View Clustering via Self-Supervised Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Multiview Clustering Networks With Adaptive Fusion.

[BibT_eX]

[DOI]

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

Sparse discriminant PCA based on contrastive learning and class-specificity distribution.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Tensorized Bipartite Graph Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Rethinking k-means from manifold learning perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-View Clustering via Semi-non-negative Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2023

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Capped L2p-Norm Based 2DPCA with Adaptive Capped Threshold Learning for Image Processing.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Centerless Multi-View K-means Based on the Adjacency Matrix.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Representative Task Self-Selection for Flexible Clustered Lifelong Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Supervised Graph Convolutional Network for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Tensor Completion-Based Incomplete Multiview Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Continuous Multi-View Human Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Enhanced nuclear norm based matrix regression for occluded face recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Contrastive deep embedded clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Deep Multi-View Subspace Clustering With Unified and Discriminative Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

iCmSC: Incomplete Cross-Modal Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Adversarial Multi-Path Residual Network for Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Regression-based clustering network via combining prior information.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Adaptive latent similarity learning for multi-view clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-view projected clustering with graph learning.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-view clustering by joint manifold learning and tensor nuclear norm.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Double robust principal component analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Generative Partial Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-View Attribute Graph Convolution Networks for Clustering.

[BibT_eX]

[DOI]

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

Visual Tactile Fusion Object Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Lifelong Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Consistent Embedded GAN for Image-to-Image Translation.

[BibT_eX]

[DOI]

Feng Xiong

Qianqian Wang

Quanxue Gao

IEEE Access, 2019

Multi-View Spectral Clustering via Integrating Global and Local Graphs.

[BibT_eX]

[DOI]

IEEE Access, 2019

Adaptive Semi-Supervised Classification by Joint Global and Local Graph.

[BibT_eX]

[DOI]

Siyang Deng

Qianqian Wang

Quanxue Gao

IEEE Access, 2019

Deep Adversarial Multi-view Clustering Network.

[BibT_eX]

[DOI]

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

Tensor Linear Regression and Its Application to Color Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

ℓ2, p -Norm Based PCA for Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Learning more distinctive representation by enhanced PCA network.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Partial Multi-view Clustering via Consistent GAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Adaptive maximum margin analysis for image recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Optimal mean two-dimensional principal component analysis with F-norm minimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Trace ratio 2DLDA with L1-norm optimization.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Angle Principal Component Analysis.

[BibT_eX]

[DOI]

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

Two-Dimensional PCA with F-Norm Minimization.

[BibT_eX]

[DOI]

Qianqian Wang

Quanxue Gao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

On the schatten norm for matrix based subspace learning and classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Robust 2DPCA and Its Application.

[BibT_eX]

[DOI]

Qianqian Wang

Quanxue Gao

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

2014

Global-local fisher discriminant approach for face recognition.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Qianqian Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...