Guanyi Mou

According to our database, Guanyi Mou authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive Learning with Auxiliary User Detection for Identifying Activities.

Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee

CoRR, 2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.

Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts.

Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition.

Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition.

Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

2022

Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection.

Kyumin Lee, Guanyi Mou, Scott Sievert

Proceedings of the IEEE International Conference on Big Data, 2022

Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports.

Devin Coughlin, Maylee Gagnon, Victoria Grasso, Guanyi Mou, Kyumin Lee, Renata Konrad, Patricia Raxter, Meredith Gore

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification.

Guanyi Mou, Yichuan Li, Kyumin Lee

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Effective, Robust and Fairness-aware Hate Speech Detection Framework.

Guanyi Mou, Kyumin Lee

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning.

Guanyi Mou, Kyumin Lee

Proceedings of the Social Informatics - 12th International Conference, 2020

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection.

Guanyi Mou, Pengyi Ye, Kyumin Lee

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Detecting Fake News Articles.

Jun Lin, Glenna Tremblay-Taylor, Guanyi Mou, Di You, Kyumin Lee

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019