26 citations · 97 across the 18 of their papers we have counts for
18 papers
CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition
Youzhe Song, Feng Wang
The discriminability of feature representation is the key to open-set face recognition. Previous methods rely on the learnable weights of the classification layer that represent th…
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…
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,…
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…
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…
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…
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…
Summarizing Unstructured Logs in Online Services
Weibin Meng, Federico Zaiter, Yuheng Huang +10
Logs are one of the most valuable data sources for managing large-scale online services. After a failure is detected/diagnosed/predicted, operators still have to inspect the raw lo…
Exploiting Behavioral Consistence for Universal User Representation
Jie Gu, Feng Wang, Qinghui Sun +4
User modeling is critical for developing personalized services in industry. A common way for user modeling is to learn user representations that can be distinguished by their inter…
Unsupervised Representation Learning by InvariancePropagation
Feng Wang, Huaping Liu, Di Guo +1
Unsupervised learning methods based on contrastive learning have drawn increasing attention and achieved promising results. Most of them aim to learn representations invariant to i…
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…
An Augmented Regression Model for Tensors with Missing Values
Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong +2
Heterogeneous but complementary sources of data provide an unprecedented opportunity for developing accurate statistical models of systems. Although the existing methods have shown…
Dispersal of G-band bright points at different longitudinal magnetic field strengths
Yang Yunfei, Ji Kaifai, Feng Song +3
G-band bright points (GBPs) are thought to be the foot-points of magnetic flux tubes. The aim of this paper is to investigate the relation between the diffusion regimes of GBPs and…