63 citations · 64 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Xinyang Zhang, Chenwei Zhang, Luna Xin Dong +2
Text categorization is an essential task in Web content analysis. Considering the ever-evolving Web data and new emerging categories, instead of the laborious supervised setting, i…
cs.CL2020
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification
Xin Dong, Yaxin Zhu, Yupeng Zhang +4
In cross-lingual text classification, one seeks to exploit labeled data from one language to train a text classification model that can then be applied to a completely different la…
cs.NE2017★ 63 cited
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Jialin Pan
How to develop slim and accurate deep neural networks has become crucial for real- world applications, especially for those employed in embedded systems. Though previous work along…