50 citations · 231 across the 22 of their papers we have counts for
24 papers
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Context-aware Human Activity Recognition (CHAR) is challenging due to the need to recognize the user's current activity from signals that vary significantly with contextual factors…
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou, Yichuan Li, Kyumin Lee
Data augmentation has shown its effectiveness in resolving the data-hungry problem and improving model's generalization ability. However, the quality of augmented data can be varie…
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
Guanyi Mou, Kyumin Lee
With the widespread online social networks, hate speeches are spreading faster and causing more damage than ever before. Existing hate speech detection methods have limitations in…
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
Guanyi Mou, Pengyi Ye, Kyumin Lee
Hate speech detection on online social networks has become one of the emerging hot topics in recent years. With the broad spread and fast propagation speed across online social net…
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
Yichuan Li, Jialong Han, Kyumin Lee +3
In recent years, Pre-trained Language Models (PLMs) have shown their superiority by pre-training on unstructured text corpus and then fine-tuning on downstream tasks. On entity-ric…
Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports
Devin Coughlin, Maylee Gagnon, Victoria Grasso +5
Experts combating wildlife trafficking manually sift through articles about seizures and arrests, which is time consuming and make identifying trends difficult. We apply natural la…