Feiyi Chen

Orcid: 0000-0001-7604-848X

According to our database1, Feiyi Chen authored at least 14 papers between 2018 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
Cloud-Native Computing: A Survey From the Perspective of Services.
Proc. IEEE, January, 2024

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A VT-HMM-Based Framework for Countdown Timer Traffic Light State Estimation.
IEEE Trans. Intell. Transp. Syst., September, 2023

Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds.
IEEE Trans. Parallel Distributed Syst., 2023

PBACalib: Targetless Extrinsic Calibration for High-Resolution LiDAR-Camera System Based on Plane-Constrained Bundle Adjustment.
IEEE Robotics Autom. Lett., 2023

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.
CoRR, 2023

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection.
CoRR, 2023

PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload.
CoRR, 2023

LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution.
CoRR, 2023

2022
Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates.
CoRR, 2022

Automatic Multi-camera Multi-LiDAR Extrinsic Calibration using Geometric Corners.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2018
Deep Metric Learning for Software Change-Proneness Prediction.
Proceedings of the Intelligence Science and Big Data Engineering, 2018


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