activity
20152023
most citedDispersal of G-band bright points at different longitudinal magnetic field strengths

26 citations · 97 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.CV2022★ 8 cited

Learning to Decompose Visual Features with Latent Textual Prompts

Feng Wang, Manling Li, Xudong Lin +3

Recent advances in pre-training vision-language models like CLIP have shown great potential in learning transferable visual representations. Nonetheless, for downstream inference,…

astro-ph.IM2022

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…

astro-ph.IM2022★ 3 cited

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…

astro-ph.SR2022★ 8 cited

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…

cs.IT2022★ 1 cited

Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems

Feng Wang, Songfu Cai, Vincent K. N. Lau

This paper studies a sequential task offloading problem for a multiuser mobile edge computing (MEC) system. We consider a dynamic optimization approach, which embraces wireless cha…

cs.CV2022★ 1 cited

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

Feng Wang, Huiyu Wang, Chen Wei +2

Recent advances in self-supervised contrastive learning yield good image-level representation, which favors classification tasks but usually neglects pixel-level detailed informati…

astro-ph.IM2022

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,…

astro-ph.IM2022★ 2 cited

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…

astro-ph.SR2022★ 1 cited

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…