Guanyi Mou

Orcid: 0000-0002-9987-0342

According to our database1, Guanyi Mou authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition.
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.
Proceedings of the IEEE International Conference on Big Data, 2022

Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports.
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Effective, Robust and Fairness-aware Hate Speech Detection Framework.
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.
Proceedings of the Social Informatics - 12th International Conference, 2020

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Detecting Fake News Articles.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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