Danjue Chen

According to our database1, Danjue Chen authored at least 13 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering.
CoRR, March, 2025

Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks.
CoRR, March, 2025

Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection.
Proceedings of the Data Science: Foundations and Applications, 2025

2024
Empirical study of a cooperative longitudinal control for merging maneuvers considering courtesy and mixed autonomy.
J. Intell. Transp. Syst., July, 2024

2023
Autonomous Vehicle's Impact on Traffic: Empirical Evidence From Waymo Open Dataset and Implications From Modelling.
IEEE Trans. Intell. Transp. Syst., June, 2023

Phantom Car Attack Detection via Passive Opportunistic RF Localization.
IEEE Access, 2023

A Global Search Problem on the Calibration of Two-regime Stochastic Car-Following Model.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2021
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control.
CoRR, 2021

Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence.
CoRR, 2021

Impact of the Low-level Controller on StringStability of Adaptive Cruise Control System.
CoRR, 2021

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach.
Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

Low-level Controllers Play a Decisive Role in the String Stability of Adaptive Cruise Control.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach.
CoRR, 2020


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