Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach. - Liming Jiang 004; Yuanchang Xie; Danjue Chen; Tienan Li; Nicholas G. Evans (CoRR, 2020)

Low-level Controllers Play a Decisive Role in the String Stability of Adaptive Cruise Control. - Hao Zhou 021; Anye Zhou; Tienan Li; Danjue Chen; Srinivas Peeta; Jorge A. Laval (ITSC, 2021)

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach. - Liming Jiang 004; Yuanchang Xie; Xiao Wen; Danjue Chen; Tienan Li; Nicholas G. Evans (MT-ITS, 2021)

Impact of the Low-level Controller on StringStability of Adaptive Cruise Control System. - Hao Zhou; Anye Zhou; Tienan Li; Danjue Chen; Srinivas Peeta; Jorge A. Laval (CoRR, 2021)

Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence. - Tienan Li; Danjue Chen; Hao Zhou; Jorge A. Laval; Yuanchang Xie (CoRR, 2021)

Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control. - Hao Zhou; Anye Zhou; Tienan Li; Danjue Chen; Srinivas Peeta; Jorge A. Laval (CoRR, 2021)

A Global Search Problem on the Calibration of Two-regime Stochastic Car-Following Model. - Garyoung Lee; Jorge A. Laval; Danjue Chen (ITSC, 2023)

Phantom Car Attack Detection via Passive Opportunistic RF Localization. - Alexander M. Wyglinski; Thanuka Wickramarathne; Danjue Chen; Nicholas J. Kirsch; Kuldeep S. Gill; Taru Jain; Varun Garg; Tienan Li; Shuva Paul; Zhang Xi (IEEE Access, 2023)

Autonomous Vehicle's Impact on Traffic: Empirical Evidence From Waymo Open Dataset and Implications From Modelling. - Xiangwang Hu; Zuduo Zheng; Danjue Chen; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2023)

Empirical study of a cooperative longitudinal control for merging maneuvers considering courtesy and mixed autonomy. - Liming Jiang 004; Yuanchang Xie; Nicholas G. Evans; Danjue Chen (J. Intell. Transp. Syst., 2024)

Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. - Shixiong Li; Xingyu Lyu; Ning Wang; Tao Li; Danjue Chen; Yimin Chen (PAKDD (6), 2025)

Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks. - Xingyu Lyu; Ning Wang; Yang Xiao; Shixiong Li; Tao Li; Danjue Chen; Yimin Chen (CoRR, 2025)

Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering. - Xingyu Lyu; Ning Wang; Yang Xiao; Shixiong Li; Tao Li; Danjue Chen; Yimin Chen (CoRR, 2025)