Liang Wang
Chinese Academy of Sciences
963 Papers
3.3K Citations
Liang Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 74, co-authored 645 publications. Previous affiliations of Liang Wang include Fudan University & University of Melbourne.
Chat about Author
Papers
Realization of Nanostroke with a Violet-Light-EmittingDevice with High Monochromaticity
Liang Wang,Shuanglong Feng,Chenming Jiang,Wenqiang Lu,Jinhui Song +4 more
- 08 Jul 2019
TL;DR: Light-emitting diodes (LED) currently play a key role in solid-state illumination and displays and displays using nanotechnology, and more advanced and functional LEDs have been developed.
3
Association between levels of IgG antibodies from vaccines and Omicron symptomatic infection among children and adolescents in China.
Xinying Chen,Jun Hong,Lijun Deng,H. Weng,Tengfei Huang,Liang Wang,Aihua Ou,Yuxia Li,Bo Yu,Jianwen Guo,Jinghua Yang +10 more
TL;DR: The risk of developing a symptomatic infection can be predicted independently by tertiles of IgG antibodies to wild-type SARS-CoV-2 antigens, a potential threshold for protection and booster strategy in the future.
3
•Posted Content
Dynamic Graph Collaborative Filtering
TL;DR: In this article, the authors propose Dynamic Graph Collaborative Filtering (DGCF), a framework leveraging dynamic graphs to capture collaborative and sequential relations of both items and users at the same time.
3
Semi-supervised subspace segmentation
Dong Wang,Qiyue Yin,Ran He,Liang Wang,Tieniu Tan +4 more
- 01 Oct 2014
TL;DR: A semi-supervised subspace segmentation model where the partially observed subspace membership prior can be encoded and the low-level and high-level information about the data can be integrated to produce more precise segmentation results.
3
Fast Detection of Multi-Direction Remote Sensing Ship Object Based on Scale Space Pyramid
Ziying Song,Liang Wang,Guoxin Zhang,Caiyan Jia,Jiangfeng Bi,Chao Zhong +5 more
- 01 Dec 2022
TL;DR: Wang et al. as mentioned in this paper proposed a lightweight object detection network for fast detection of ships, which consists of backbone network, four-scale fusion network and rotation branch, which can meet the fast detection requirements of ships.
3