Y
Yujiao Song
Researcher at Central South University
Publications - 5
Citations - 1514
Yujiao Song is an academic researcher from Central South University. The author has contributed to research in topics: Graph (abstract data type) & Viral load. The author has an hindex of 3, co-authored 4 publications receiving 351 citations.
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
TL;DR: In this article, a novel neural network-based traffic forecasting method, the temporal graph convolutional network (T-GCN) model, which is combined with the graph convolutionsal network and the gated recurrent unit (GRU), is proposed.
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Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method.
TL;DR: Experiments demonstrate that the T-GCN model can obtain the spatiotemporal correlation from traffic data and the predictions outperform state-of-art baselines on real-world traffic datasets.
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A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
TL;DR: In this study, an attention temporal graph convolutional network (A3T-GCN) traffic forecasting method was proposed to simultaneously capture global temporal dynamics and spatial correlations to improve prediction accuracy.
Journal ArticleDOI
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
TL;DR: In this article, an attention temporal graph convolutional network (A3T-GCN) was proposed to simultaneously capture global temporal dynamics and spatial correlations in traffic flows, and the attention mechanism was introduced to adjust the importance of different time points and assemble global temporal information to improve prediction accuracy.
Journal ArticleDOI
A potent, broadly protective vaccine against SARS-CoV-2 variants of concern
Ziyan Wang,Jiao An,Kunpeng Liu,Pin Yu,Xin De Fang,Jiadai Li,Huasong Zhu,Qianjun Zhu,Chuan-qi Huang,Chao Zhang,Binbin Zhao,Linlin Bao,Yujiao Song,Xi-chuan Cao,Dongdong Hu,Yuanxiang Jiang,Li Shi,Lingyun Zhou,Jiang Fan,Wuxiang Guan,Chenliang Zhou,Zhongyu Hu,Zhiming Yuan,Jiangning Liu,Chao Shan,Ge Liu +25 more
TL;DR: Wang et al. as discussed by the authors designed and produced a recombinant COVID-19 vaccine in CHO cells at a high yield, which contains four hot spot substitutions, K417N, E484K, N501Y and D614G, based on a prefusion-stabilized spike trimer of SARS-CoV-2 (S-6P).