9 citations · 21 across the 6 of their papers we have counts for
6 papers
Pay attention to emoji: Feature Fusion Network with EmoGraph2vec Model for Sentiment Analysis
Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang +1
With the explosive growth of social media, opinionated postings with emojis have increased explosively. Many emojis are used to express emotions, attitudes, and opinions. Emoji rep…
Emoji-based Co-attention Network for Microblog Sentiment Analysis
Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang +2
Emojis are widely used in online social networks to express emotions, attitudes, and opinions. As emotional-oriented characters, emojis can be modeled as important features of emot…
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
Wei Zhou, Xin Cao, Xiaodan Zhang +3
The existing 3D deep learning methods adopt either individual point-based features or local-neighboring voxel-based features, and demonstrate great potential for processing 3D data…
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
Wei Zhou, Xin Cao, Xiaodan Zhang +3
We present a new convolutional neural network, called Multi Voxel-Point Neurons Convolution (MVPConv), for fast and accurate 3D deep learning. The previous works adopt either indiv…
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Lingwei Wei, Dou Hu, Wei Zhou +5
Document-level Sentiment Analysis (DSA) is more challenging due to vague semantic links and complicate sentiment information. Recent works have been devoted to leveraging text summ…
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
Chunyuan Yuan, Jiacheng Li, Wei Zhou +3
Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…