J
Jian Shao
Researcher at Zhejiang University
Publications - 80
Citations - 3619
Jian Shao is an academic researcher from Zhejiang University. The author has contributed to research in topics: Image retrieval & Computer science. The author has an hindex of 17, co-authored 78 publications receiving 2666 citations. Previous affiliations of Jian Shao include Chinese Academy of Sciences & Association for Computing Machinery.
Papers
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Proceedings ArticleDOI
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
TL;DR: This paper introduces a novel convolutional neural network dubbed SCA-CNN that incorporates Spatial and Channel-wise Attentions in a CNN that significantly outperforms state-of-the-art visual attention-based image captioning methods.
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SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
TL;DR: SCA-CNN as mentioned in this paper incorporates spatial and channel-wise attentions in a CNN to dynamically modulate the sentence generation context in multi-layer feature maps, encoding where attentive spatial locations at multiple layers and what (i.e., attentive channels) the visual attention is.
Proceedings ArticleDOI
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
TL;DR: A self-supervised spatiotemporal learning technique which leverages the chronological order of videos to learn the spatiotmporal representation of the video by predicting the order of shuffled clips from the video.
Journal ArticleDOI
Sparse Unsupervised Dimensionality Reduction for Multiple View Data
TL;DR: This paper proposes a framework of sparse unsupervised dimensionality reduction for multiple view data, and develops a new alternating algorithm, i.e., spectral sparse multiview embedding, to efficiently obtain the solution.
Journal ArticleDOI
Media and public reactions toward vaccination during the 'hepatitis B vaccine crisis' in China.
Bin Chen,Jueman Mandy Zhang,Zhenggang Jiang,Jian Shao,Tao Jiang,Zhengting Wang,Kui Liu,Siliang Tang,Hua Gu,Jianmin Jiang +9 more
TL;DR: This study found the Kangtai vaccine crisis raised great public attention and negative sentiment toward vaccinations on the internet in China and the government should provide ways to address emerging public concerns after policy change to avoid misinformation and misunderstanding during such a vaccine crisis.