Search Results for author: Qian Tao

Found 7 papers, 1 papers with code

Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification

no code implementations27 Jan 2022 Jianpeng Liao, Qian Tao, Jun Yan

Graph-based semi-supervised learning, which can exploit the connectivity relationship between labeled and unlabeled data, has been shown to outperform the state-of-the-art in many artificial intelligence applications.

Classification Graph Attention +1

Deep Recursive Embedding for High-Dimensional Data

1 code implementation31 Oct 2021 Zixia Zhou, Xinrui Zu, Yuanyuan Wang, Boudewijn P. F. Lelieveldt, Qian Tao

Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value.

SpaceMAP: Visualizing Any Data in 2-dimension by Space Expansion

no code implementations29 Sep 2021 Xinrui Zu, Qian Tao

Dimensionality reduction (DR) and visualization of high-dimensional data is of theoretical and practical value in machine learning and related fields.

Dimensionality Reduction

Deep Recursive Embedding for High-Dimensional Data

no code implementations12 Apr 2021 Zixia Zhou, Yuanyuan Wang, Boudewijn P. F. Lelieveldt, Qian Tao

t-distributed stochastic neighbor embedding (t-SNE) is a well-established visualization method for complex high-dimensional data.

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

no code implementations30 Oct 2019 Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao

In this work, we proposed a generic framework to address this problem, consisting of (1) an unpaired generative adversarial network (GAN) for vendor-adaptation, and (2) a Unet for object segmentation.

Medical Image Segmentation Semantic Segmentation

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