Shengyuan Liu

Orcid: 0000-0002-2880-695X

According to our database1, Shengyuan Liu authored at least 16 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Uncertainty-aware complementary label queries for active learning.
Frontiers Inf. Technol. Electron. Eng., October, 2023

A multi-view co-training network for semi-supervised medical image-based prognostic prediction.
Neural Networks, July, 2023

Tweakable SM4: How to tweak SM4 into tweakable block ciphers?
J. Inf. Secur. Appl., 2023

Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Complementary Label Queries for Efficient Active Learning.
Proceedings of the 6th International Conference on Image and Graphics Processing, 2023

2021
Electricity Theft Detection Based on Stacked Autoencoder and the Undersampling and Resampling Based Random Forest Algorithm.
IEEE Access, 2021

Dual Enhancement for Multi-Label Learning with Missing Labels.
Proceedings of the MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17, 2021

2020
Data-Driven Event Detection of Power Systems Based on Unequal-Interval Reduction of PMU Data and Local Outlier Factor.
IEEE Trans. Smart Grid, 2020

Model-Free Data Authentication for Cyber Security in Power Systems.
IEEE Trans. Smart Grid, 2020

Calculate Center-of-Inertia Frequency and System RoCoF Using PMU Data.
CoRR, 2020

A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets.
IEEE Access, 2020

Data-Driven Abnormity Assessment for Low-Voltage Power Consumption and Supplies Based on CRITIC and Improved Radar Chart Algorithms.
IEEE Access, 2020

Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2016
A Novel Performance Evaluation and Optimization Model for Big Data System.
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2014
A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
Evaluating task scheduling in hadoop-based cloud systems.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


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