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[1] Chaoneng Li, Xiaolong Wang, Ze Ye, Ji Ye, Siyuan Chen and Shuxu Zhao. Generative Reconstruction Model for Trajectory Anomaly Detection and Virtual Traffic Flow Authenticity Evaluation[C]//2025 International Joint Conference on Neural Networks (IJCNN). IEEE, 2025: 1-8. (CCF C类，神经网络领域国际会议).
[2] Chaoneng Li, Xiaolong Wang, Xiaohu Wang, Siyuan Chen, Ji Ye and Shuxu Zhao. Pattern Learning for Trajectory Anomaly Detection: Recent Developments and Emerging Challenges[C]//2025 International Joint Conference on Neural Networks (IJCNN). IEEE, 2025: 1-10. (CCF C类，神经网络领域国际会议).
[3] Chaoneng Li, Guanwen Feng, Yunan Li, Ruyi Liu, Qiguang Miao, Liang Chang. DiffTAD: Denoising Diffusion Probabilistic Models for Vehicle Trajectory Anomaly Detection[J]. Knowledge-Based Systems, 2024, 286: 111387. (SCI中科院1区TOP，JCR Q1)..
[4] Chaoneng Li, Qianwen Chao, Guanwen Feng, Qiongyan Wang, Pengfei Liu, Yunan Li, Qiguang Miao. Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection[C]//Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022: 8157-8164. (CCF C类，机器人/自动化领域国际顶级会议)..
[5] Chaoneng Li, Guanwen Feng, Yiran Jia, Yunan Li, Jian Ji, Qiguang Miao. RETAD: Vehicle Trajectory Anomaly Detection Based on Reconstruction Error[J]. International Journal of Data Warehousing & Mining, 2023, 19(2): 1-14. (SCI中科院4区，JCR Q4)..
[6] 李超能, 冯冠文, 姚航, 刘如意, 李宇楠, 谢琨, 苗启广. 轨迹异常检测研究综述[J]. 软件学报, 2024, 35(2): 927–974. (CCF 推荐中文期刊A类，北大中文核心，EI)..

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基于生成式扩散模型的异构交通多智能体轨迹预测研究,在研,

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