Yangtao Wang

Orcid: 0000-0003-4605-9270

According to our database¹, Yangtao Wang authored at least 41 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Label-aware aggregation on heterophilous graphs for node representation learning.

[BibT_eX]

[DOI]

Displays, 2024

IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Image-text Retrieval with Main Semantics Consistency.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Domain Alignment with Large Vision-language Models for Cross-domain Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut.

[BibT_eX]

[DOI]

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

A hash centroid construction method with Swin transformer for multi-label image retrieval.

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2023

Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

2022

STMG: Swin transformer for multi-label image recognition with graph convolution network.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Label graph learning for multi-label image recognition with cross-modal fusion.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Cross-modal fusion for multi-label image classification with attention mechanism.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Unsupervised deep hashing with node representation for image retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Multi-view clustering via neighbor domain correlation learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

A framework for image dark data assessment.

[BibT_eX]

[DOI]

World Wide Web, 2020

A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions.

[BibT_eX]

[DOI]

World Wide Web, 2020

Semantic-aware data quality assessment for image big data.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Label-Attended Hashing for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

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

Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Improved Review Sentiment Analysis with a Syntax-Aware Encoder.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Analysis and Management to Hash-Based Graph and Rank.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

A Framework for Image Dark Data Assessment.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

Large Scale Document Categorization With Fuzzy Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Multi-view fuzzy clustering with minimax optimization for effective clustering of data from multiple sources.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Expert Syst. Appl., 2017

Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Xiaoli Li

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

2016

K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

IEEE Trans. Neural Networks Learn. Syst., 2016

Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Xiaoli Li

CoRR, 2016

Hyperspherical Fuzzy clustering for online document categorization.

[BibT_eX]

[DOI]

Jian-Ping Mei

Yangtao Wang

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2014

Incremental Fuzzy Clustering With Multiple Medoids for Large Data.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Jian-Ping Mei

IEEE Trans. Fuzzy Syst., 2014

K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Multi-exemplar based clustering for imbalanced data.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Stochastic gradient descent based fuzzy clustering for large data.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Jian-Ping Mei

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Incremental fuzzy clustering for document categorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Empirical study of soft clustering approaches for large data.

[BibT_eX]

[DOI]

Yangtao Wang

Lihui Chen

Chee Keong Chan

Proceedings of the 9th International Conference on Information, 2013

Yangtao Wang

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