activity
20212024
most citedAnyonic quantum multipartite maskers in the Kitaev model

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.GA2024

USmorph: An Updated Framework of Automatic Classification of Galaxy Morphologies and Its Application to Galaxies in the COSMOS Field

Jie Song, GuanWen Fang, Shuo Ba +9

Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine the two-step galaxy morphological classi…

quant-ph20243 cited

Anyonic quantum multipartite maskers in the Kitaev model

Yao Shen, Wei-Min Shang, Chi-Chun Zhou +1

The structure of quantum mechanics forbids a bipartite scenario for masking quantum information, however, it allows multipartite maskers. The Latin squares are found to be closely…

cs.CV2023

A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle Palace

Jing Yang, Nur Intan Raihana Ruhaiyem, Chichun Zhou

The Yongle Palace murals, as valuable cultural heritage, have suffered varying degrees of damage, making their restoration of significant importance. However, the giant size and un…

cs.CV20231 cited

Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning

Yu Gong, Xiaoqiao Wang, Chichun Zhou

Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of existing or related domain data as a…

eess.IV20231 cited

A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples

Yang Liu, Yue-Jie Hou, Chen-Xin Qin +4

Detection of pulmonary nodules by CT is used for screening lung cancer in early stages.omputer aided diagnosis (CAD) based on deep-learning method can identify the suspected areas…

astro-ph.GA20212 cited

Automatic morphological classification of galaxies: convolutional autoencoder and bagging-based multiclustering model

C. C. Zhou, Y. Z. Gu, G. W. Fang +1

In order to obtain morphological information of unlabeled galaxies, we present an unsupervised machine-learning (UML) method for morphological classification of galaxies, which can…