特刊 “弥合机器学习与情感计算鸿沟”投稿开始了。
 

客座编辑：崔振（南京理工）、Abhinav Dhall（澳洲莫纳什大学）、洪晓鹏（西交大）、李勇（南理工）、郑文明（东南大学）、宗源（东南大学）

特刊主题：

•    Semi-/weakly-supervised learning methods
•    Self-supervised learning methods
•    Graph convolution network (GCN) learning methods
•    Few-/zero-shot learning methods
•    Meta-learning methods
•    Bayesian learning with uncertainty
•    
Priority will be given to papers with high novelty and originality for research papers, and to papers with the high potential impact for survey/overview papers.