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12 papers · 1 filter
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Human Activity Recognition (HAR) is a challenging, multi-label classification problem as activities may co-occur and sensor signals corresponding to the same activity may vary in d…
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…
Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts
Guanyi Mou, Yun Yue, Kyumin Lee +1
Wildlife trafficking (WLT) has emerged as a global issue, with traffickers expanding their operations from offline to online platforms, utilizing e-commerce websites and social net…