Hai-Yun Wang

Orcid: 0000-0002-4726-7349

According to our database1, Hai-Yun Wang authored at least 12 papers between 2002 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Briefings Bioinform., January, 2023

An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

scCNC: a method based on capsule network for clustering scRNA-seq data.
Bioinform., 2022

2021
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data.
Proceedings of the Intelligent Computing Theories and Application, 2021

2005
Accurate optical flow estimation in noisy sequences by robust tensor-driven anisotropic diffusion.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Spatio-Temporal Video Object Segmentation via Scale-Adaptive 3D Structure Tensor.
EURASIP J. Adv. Signal Process., 2004

2003
Automatic video object segmentation via 3D structure tensor.
Proceedings of the 2003 International Conference on Image Processing, 2003

Motion field discontinuity classification for tensor-based optical flow estimation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Region-based nonparametric optical flow segmentation with pre-clustering and post-clustering.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Accurate optical flow estimation using adaptive scale-space and 3D structure tensor.
Proceedings of the 2002 International Conference on Image Processing, 2002

Unsupervised semantic video objects segmentation over optical-flow field.
Proceedings of the Seventh International Conference on Control, 2002


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