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Qiang Yang

Researcher at Hong Kong University of Science and Technology

Publications -  1795
Citations -  96705

Qiang Yang is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 112, co-authored 1117 publications receiving 71540 citations. Previous affiliations of Qiang Yang include University of London & Zhejiang University of Technology.

Papers
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Tunable quantum criticalities in an isospin extended Hubbard model simulator

TL;DR: In this article , a quantum two-stage criticality with spin-valley isospins arising in chiral-stacked twisted double bilayer graphene (cTDBG) was observed.
Patent

Method and device for identifying target object in image

TL;DR: In this article, a method and a device for identifying a target object in an image is described, which includes the following steps: extracting feature data from an image and converting the extracted feature data into a unified expression; automatically clustering the features of the image according to the feature data after unified expression and a historical clustering result; categorizing a known classification included in the automatic clustering results as a corresponding known classification so as to identify a known target object.
Patent

Feature selection method, device and storage medium based on federation training

TL;DR: In this paper, a feature selection method based on federation training is proposed, which comprises the following steps: federating two aligned training samples by using XGboost algorithm to construct a gradient lifting tree model, and feature ranking being performed based on the score of each feature and the ranking result being output for feature selection.
Posted Content

Graph Random Neural Network.

TL;DR: This work proposes the consistency regularization for Grand by leveraging the distributional consistency of unlabeled nodes in multiple augmentations, improving the generalization capacity of the model.