1.4k citations · 2.1k across the 32 of their papers we have counts for
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cs.LG2021★ 8 cited
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang, Jiawei Liu, Chuan Shi
Semi-supervised learning on graphs is an important problem in the machine learning area. In recent years, state-of-the-art classification methods based on graph neural networks (GN…
cs.CV2021★ 30 cited
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Shaokang Yang, Shuai Liu, Cheng Yang +1
Fine-grained image recognition is very challenging due to the difficulty of capturing both semantic global features and discriminative local features. Meanwhile, these two features…