2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Data Upcycling Knowledge Distillation for Image Super-Resolution
Yun Zhang, Wei Li, Simiao Li +6
Knowledge distillation (KD) compresses deep neural networks by transferring task-related knowledge from cumbersome pre-trained teacher models to compact student models. However, cu…
cs.IR2022★ 2 cited
Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
Kexin Shi, Yun Zhang, Bingyi Jing +1
In implicit collaborative filtering (CF) task of recommender systems, recent works mainly focus on model structure design with promising techniques like graph neural networks (GNNs…
cs.SI2021★ 2 cited
Subsampling Spectral Clustering for Large-Scale Social Networks
Jiayi Deng, Yi Ding, Yingqiu Zhu +3
Online social network platforms such as Twitter and Sina Weibo have been extremely popular over the past 20 years. Identifying the network community of a social platform is essenti…