15 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.GT2022
Task-load-Aware Game-Theoretic Framework for Wireless Federated Learning
Jiawei Liu, Guopeng Zhang, Kezhi Wang +1
Federated learning (FL) has been proposed as a popular learning framework to protect the users' data privacy but it has difficulties in motivating the users to participate in task…
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.CL2017★ 15 cited
Implicitly Incorporating Morphological Information into Word Embedding
Yang Xu, Jiawei Liu
In this paper, we propose three novel models to enhance word embedding by implicitly using morphological information. Experiments on word similarity and syntactic analogy show that…