Sheng You

Orcid: 0000-0001-5289-4171

According to our database1, Sheng You authored at least 11 papers between 2010 and 2023.

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

Timeline

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Links

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Bibliography

2023
Parallel incremental association rule mining framework for public opinion analysis.
Inf. Sci., June, 2023

What Image do You Need? A Two-stage Framework for Image Selection in E-commerce.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022
Multi-source Data-Based Deep Tensor Factorization for Predicting Disease-Associated miRNA Combinations.
Proceedings of the Intelligent Computing Theories and Application, 2022

2019
PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain.
CoRR, 2019

2013
A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Observer and feature analysis on diagnosis of retinopathy of prematurity.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2011
Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Extraction of samples from airway and vessel trees in 3D lung CT based on a multi-scale principal curve tracing algorithm.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Principal curve based semi-automatic segmentation of organs in 3D-CT.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010


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