Yazhou Ren

Orcid: 0000-0001-7705-4603

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering


According to our database1, Yazhou Ren authored at least 92 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Multi-View MERA Subspace Clustering.
IEEE Trans. Multim., 2024

S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering.
CoRR, 2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UNTIE: Clustering analysis with disentanglement in multi-view information fusion.
Inf. Fusion, December, 2023

Boosting adversarial robustness via self-paced adversarial training.
Neural Networks, October, 2023

CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment.
Comput. Biol. Medicine, September, 2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Neurocomputing, March, 2023

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.
IEEE Trans. Image Process., 2023

Edge enhancement improves adversarial robustness in image classification.
Neurocomputing, 2023

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.
CoRR, 2023

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.
CoRR, 2023

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generative Neutral Features-Disentangled Learning for Facial Expression Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Federated Deep Multi-View Clustering with Global Self-Supervision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Multi-view Subspace Clustering with Anchor Graph.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-paced annotations of crowd workers.
Knowl. Inf. Syst., 2022

Variational Graph Generator for Multi-View Graph Clustering.
CoRR, 2022

Deep Clustering: A Comprehensive Survey.
CoRR, 2022

Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs.
CoRR, 2022

EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer.
Comput. Biol. Medicine, 2022

BS-80K: The first large open-access dataset of bone scan images.
Comput. Biol. Medicine, 2022

Multi-view Subspace Clustering on Topological Manifold.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Smooth Representation for Multi-view Subspace Clustering.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Contrastive Multi-view Hyperbolic Hierarchical Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Shared-Attribute Multi-Graph Clustering with Global Self-Attention.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dual self-paced multi-view clustering.
Neural Networks, 2021

Deep embedded multi-view clustering with collaborative training.
Inf. Sci., 2021

Probability-based Mask R-CNN for pulmonary embolism detection.
Neurocomputing, 2021

Machine learning based early mortality prediction in the emergency department.
Int. J. Medical Informatics, 2021

Self-Paced Deep Regression Forests with Consideration on Ranking Fairness.
CoRR, 2021

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer.
CoRR, 2021

Contrastive Multi-Modal Clustering.
CoRR, 2021

Graph Attention Networks with LSTM-based Path Reweighting.
CoRR, 2021

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising.
CoRR, 2021

Self-supervised Discriminative Feature Learning for Multi-view Clustering.
CoRR, 2021

Non-Linear Fusion for Self-Paced Multi-View Clustering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Crowdsourcing with Self-paced Workers.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Latent Dirichlet allocation based generative adversarial networks.
Neural Networks, 2020

Deep density-based image clustering.
Knowl. Based Syst., 2020

Self-paced and auto-weighted multi-view clustering.
Neurocomputing, 2020

Regularized nonnegative matrix factorization with adaptive local structure learning.
Neurocomputing, 2020

A Subword Guided Neural Word Segmentation Model for Sindhi.
CoRR, 2020

Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples.
CoRR, 2020

Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Task-Driven Deep Learning for LDCT Image Denoising.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Drug repositioning based on individual bi-random walks on a heterogeneous network.
BMC Bioinform., December, 2019

Self-paced and soft-weighted nonnegative matrix factorization for data representation.
Knowl. Based Syst., 2019

Self-paced multi-task clustering.
Neurocomputing, 2019

Parallel boosted clustering.
Neurocomputing, 2019

Semi-supervised deep embedded clustering.
Neurocomputing, 2019

Self-Paced Deep Regression Forests for Facial Age Estimation.
CoRR, 2019

Stratified Feature Sampling for Semi-Supervised Ensemble Clustering.
IEEE Access, 2019

Self-Paced Multi-View Clustering via a Novel Soft Weighted Regularizer.
IEEE Access, 2019

Ranking-Based Deep Cross-Modal Hashing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Robust multi-view data clustering with multi-view capped-norm K-means.
Neurocomputing, 2018

Latent Dirichlet Allocation in Generative Adversarial Networks.
CoRR, 2018

Semi-supervised DenPeak Clustering with Pairwise Constraints.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Self-Paced Multi-Task Multi-View Capped-norm Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Weighted-object ensemble clustering: methods and analysis.
Knowl. Inf. Syst., 2017

Weighted Local Naive Bayes Link Prediction.
J. Inf. Process. Syst., 2017

A balanced modularity maximization link prediction model in social networks.
Inf. Process. Manag., 2017

Balanced self-paced learning with feature corruption.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning from semantically dependent multi-tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robust Softmax Regression for Multi-class Classification with Self-Paced Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Multi-label Linear Discriminant Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2014
A Weighted Adaptive Mean Shift Clustering Algorithm.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Boosted Mean Shift Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Exploiting neighbors' latent correlation for link prediction in complex network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Weighted-Object Ensemble Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Local and global structure preserving based feature selection.
Neurocomputing, 2012

Active delay variation control for improving fault tolerance in an avionics network.
Proceedings of the 9th IEEE International Workshop on Factory Communication Systems, 2012

2011
Random subspace based semi-supervised feature selection.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011


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