41 citations · 158 across the 23 of their papers we have counts for
23 papers
A robust method for identifying Be stars in the LAMOST Data Release 11 based on Deep-learning approach
Lei Tan, Hui Deng, Ying Mei +4
Be stars are rapidly rotating B-type stars that exhibit Balmer emission lines in their optical spectra. These stars play an important role in studies of stellar evolution and disk…
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning
Yuquan Zhang, Zhong Cao, Feng Wang +5
The Chinese Space Station Telescope (abbreviated as CSST) is a future advanced space telescope. Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) imag…
Quasi-periodic Variations of Coronal Mass Ejections with Different Angular Widths
Xia Li, Hui Deng, Feng Wang +2
Coronal mass ejections (CMEs) are energetic expulsions of organized magnetic features from the Sun. The study of CME quasi-periodicity helps establish a possible relationship betwe…
A Study on Non-coplanar Baseline Effects for Mingantu Spectral Radioheliograph
Qiu-ping Yang, Feng Wang, Hui Deng +2
As a dedicated solar radioheliograph, the MingantU SpEctral RadioHeliograph (MUSER) has a maximum baseline of more than 3000 meters and a frequency range of 400 MHz -- 15 GHz. Acco…
WS-Snapshot: An effective algorithm for wide-field and large-scale imaging
Yangfan Xie, Feng Wang, Hui Deng +7
The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. The high accuracy, wide-field and large size imaging significantly challenge t…
The Temporal and Spatial Behaviors of CME Occurrence Rate at Different Latitudes
Jiaqi Lin, Feng Wang, Linhua Deng +3
The statistical study of the Coronal Mass Ejections (CMEs) is a hot topic in solar physics. To further reveal the temporal and spatial behaviors of the CMEs at different latitudes…
RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network
Haomin Sun, Hui Deng, Feng Wang +5
The rapid development of new generation radio interferometers such as the Square Kilometer Array (SKA) has opened up unprecedented opportunities for astronomical research. However,…
Performance evaluation of baseline-dependent averaging based onfull-scale SKA1-LOW simulation
Qing-Wen Deng, Feng Wang, Hui Deng +4
The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. Its immense amount of visibility data poses a considerable challenge to the su…
A Robust Hot Subdwarfs Identification Method Based on Deep Learning
Lei Tan, Ying Mei, Zhicun Liu +5
Hot subdwarf star is a particular type of star that is crucial for studying binary evolution and atmospheric diffusion processes. In recent years, identifying Hot subdwarfs by mach…
An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework
Ying Mei, Shoulin Wei, Feng Wang +7
The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of…
A Catalog of LAMOST Variable Sources Based on Time-domain Photometry of ZTF
Tingting Xu, Chao Liu, Feng Wang +4
The identification and analysis of different variable sources is a hot issue in astrophysical research. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spect…
Enhanced Remote Astronomical Archive System Based on the File-Level Unlimited Sliding-Window Technique
Cong-Ming Shi, Hui Deng, Feng Wang +6
Data archiving is one of the most critical issues for modern astronomical observations. With the development of a new generation of radio telescopes, the transfer and archiving of…
Fine-grained Distributed Averaging for Large-scale Radio Interferometric Measurement Sets
Shoulin Wei, Kaida Luo, Feng Wang +2
The Square Kilometer Array (SKA) would be the world's largest radio telescope with eventually over a square kilometer of collecting area. However, there are enormous challenges in…
Robust Automated Photometry Pipeline for Blurred Images
Weirong Huang, Zhou Xie, Wenjie Zhong +4
The primary task of the 1.26-m telescope jointly operated by the National Astronomical Observatory and Guangzhou University is photometric observations of the g, r, and i bands. A…
A Hybrid method of accurate classification for Blazars Of Uncertain Type in Fermi LAT Catalogs
Yijun Xu, Weirong Huang, Hui Deng +2
Significant progress in the classification of Fermi unassociated sources , has led to an increasing number of blazars are being found. The optical spectrum is effectively used to c…
The spatial distribution of quasi-biennial oscillations in the high-latitude solar activity
L. H. Deng, Y. Fei, H. Deng +2
Quasi-biennial oscillations (QBOs) are considered as a fundamental mode of solar magnetic activity at low latitudes (). However, the evolutionary aspect and the hemis…
Systematic Regularity of Solar Coronal Rotation During the Time Interval 1939-2019
L. H. Deng, X. J. Zhang, H. Deng +2
Temporal variation of the solar coronal rotation appears to be very complex and its relevances to the eleven-year solar activity cycle are still unclear. Using the modified coronal…
Periodic variation and phase analysis of grouped solar flare with sunspot activity
Hui Deng, Ying Mei, Feng Wang
Studies on the periodic variation and the phase relationship between different solar activity indicators are useful for understanding the long-term evolution of solar activity cycl…
On Midrange Periodicities in Solar Radio Flux and Sunspot Areas
Ying Mei, Hui Deng, Feng Wang
Using the Hilbert-Huang transform technique, we investigate the midrange periodicities in solar radio flux at 2800 MHz (F10.7) and sunspot areas (SAs) from February 1, 1947 to Sept…
GPU-Based High-Performance Imaging for Mingantu Spectral RadioHeliograph
Ying Mei, Feng Wang, Wei Wang +6
As a dedicated solar radio interferometer, the MingantU SpEctral RadioHeliograph (MUSER) generates massive observational data in the frequency range of 400 MHz -- 15 GHz. High-perf…
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
Chen Wu, Rodrigo Tobar, Kevin Vinsen +11
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1…
OpenCluster: A Flexible Distributed Computing Framework for Astronomical Data Processing
Shoulin Wei, Feng Wang, Hui Deng +7
The volume of data generated by modern astronomical telescopes is extremely large and rapidly growing. However, current high-performance data processing architectures/frameworks ar…
Distributed Data-Processing Pipeline for Mingantu Ultrawide Spectral Radioheliograph
F. Wang, Y. Mei, H. Deng +8
The Chinese Spectral RadioHeliograph (CSRH) is a synthetic aperture radio interferometer built in Inner Mongolia, China. As a solar-dedicated interferometric array, CSRH is capable…