Yifan Guo

Orcid: 0000-0002-9700-5005

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Survey of Artificial Intelligence Model Marketplace.
Future Internet, 2025

Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things.
Future Internet, 2025

2024
Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems.
IEEE Internet Things J., June, 2024

Blockchain-Empowered Federated Learning Through Model and Feature Calibration.
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

Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems.
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
ECONOMY: Point Clouds-Based Energy-Efficient Autonomous Navigation for UAVs.
IEEE Trans. Netw. Sci. Eng., 2021

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput., 2021

Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning.
IEEE Internet Things J., 2021

Toward Combatting COVID-19: A Risk Assessment System.
IEEE Internet Things J., 2021

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework.
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
Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
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

Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J., 2020

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access, 2020

2019
Quantized Adversarial Training: An Iterative Quantized Local Search Approach.
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

Differentially Private Community Detection in Attributed Social Networks.
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


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