Yangtao Wang

Orcid: 0000-0003-4605-9270

According to our database1, Yangtao Wang authored at least 37 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A hash centroid construction method with Swin transformer for multi-label image retrieval.
Neural Comput. Appl., May, 2023

Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval.
IEEE Trans. Multim., 2023

2022
STMG: Swin transformer for multi-label image recognition with graph convolution network.
Neural Comput. Appl., 2022

Label graph learning for multi-label image recognition with cross-modal fusion.
Multim. Tools Appl., 2022

Cross-modal fusion for multi-label image classification with attention mechanism.
Comput. Electr. Eng., 2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.
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.
Trans. Data Sci., 2021

Unsupervised deep hashing with node representation for image retrieval.
Pattern Recognit., 2021

Multi-view clustering via neighbor domain correlation learning.
Neural Comput. Appl., 2021

G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020
A framework for image dark data assessment.
World Wide Web, 2020

A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions.
World Wide Web, 2020

Semantic-aware data quality assessment for image big data.
Future Gener. Comput. Syst., 2020

Label-Attended Hashing for Multi-Label Image Retrieval.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage.
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.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.
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.
Proceedings of the 2019 International Conference on Management of Data, 2019

Improved Review Sentiment Analysis with a Syntax-Aware Encoder.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Analysis and Management to Hash-Based Graph and Rank.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

A Framework for Image Dark Data Assessment.
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.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Large Scale Document Categorization With Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., 2017

Multi-view fuzzy clustering with minimax optimization for effective clustering of data from multiple sources.
Expert Syst. Appl., 2017

Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters.
IEEE Trans. Neural Networks Learn. Syst., 2016

Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data.
CoRR, 2016

Hyperspherical Fuzzy clustering for online document categorization.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2014
Incremental Fuzzy Clustering With Multiple Medoids for Large Data.
IEEE Trans. Fuzzy Syst., 2014

K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Multi-exemplar based clustering for imbalanced data.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Stochastic gradient descent based fuzzy clustering for large data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Incremental fuzzy clustering for document categorization.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Empirical study of soft clustering approaches for large data.
Proceedings of the 9th International Conference on Information, 2013


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