Yifan Guo
Orcid: 0000-0002-9700-5005Affiliations:
- Towson University, Department of Computer and Information Sciences, Towson, MD, USA
- Case Western Reserve University, Department of Electrical Engineering and Computer Science, Cleveland, OH, USA (PhD 2022)
According to our database1,
Yifan Guo
authored at least 28 papers
between 2018 and 2025.
Collaborative distances:
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Online presence:
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on towson.edu
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on orcid.org
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Bibliography
2025
Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things.
Future Internet, 2025
2024
IEEE Internet Things J., June, 2024
IEEE Internet Things J., February, 2024
Deep learning-based power quality disturbance detection and classification in smart grid.
Int. J. Sens. Networks, 2024
QATFP-YOLO: Optimizing Object Detection on Non-GPU Devices with YOLO Using Quantization-Aware Training and Filter Pruning.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions.
Future Internet, 2023
Digital Twins of Smart Campus: Performance Evaluation Using Machine Learning Analysis.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach.
Proceedings of the IEEE International Conference on Big Data, 2023
2021
IEEE Trans. Netw. Sci. Eng., 2021
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput., 2021
IEEE Internet Things J., 2021
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
IEEE Trans. Netw. Sci. Eng., 2020
Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Trans. Emerg. Top. Comput., 2020
Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Trans. Comput. Soc. Syst., 2020
IEEE Trans. Cogn. Commun. Netw., 2020
AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J., 2020
IEEE Access, 2020
2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Proceedings of The 10th Asian Conference on Machine Learning, 2018