9 papers
Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Prior work has primarily formulated CA-HAR as a multi-label classification problem, where model inputs are time-series sensor data and target labels are binary encodings representi…
Contrastive Learning with Auxiliary User Detection for Identifying Activities
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Human Activity Recognition (HAR) is essential in ubiquitous computing, with far-reaching real-world applications. While recent SOTA HAR research has demonstrated impressive perform…
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…