Xueyang Tang

According to our database, Xueyang Tang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Advanced VTSDREF for vehicle-turnout system dynamic reliability analysis: Integration of hybrid deep learning and adaptive probability density evolution method.

Xueyang Tang, Xiaopei Cai, Yuqi Wang, Pu Wang, Fei Yang

Reliab. Eng. Syst. Saf., 2025

LCRTR-Net: A low-cost real-time recognition network for rail corrugation in railway transportation.

Xueyang Tang, Xiaopei Cai, Yuqi Wang, Yue Hou

Eng. Appl. Artif. Intell., 2025

2024

HSRA-Net: Intelligent Detection Network of Anomaly Monitoring Data in High-Speed Railway.

Yi Wang, Xiaopei Cai, Xueyang Tang, Shuo Pan, Yuqi Wang, Hai Yan, Yuheng Ren, Yue Hou

IEEE Trans. Intell. Transp. Syst., December, 2024

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model.

Tao Guo, Song Guo, Junxiao Wang, Xueyang Tang, Wenchao Xu

IEEE Trans. Mob. Comput., May, 2024

Intelligent recognition of defects in high-speed railway slab track with limited dataset.

Xiaopei Cai, Xueyang Tang, Shuo Pan, Yi Wang, Hai Yan, Yuheng Ren, Ning Chen, Yue Hou

Comput. Aided Civ. Infrastructure Eng., March, 2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.

Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models.

Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients.

Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning.

Xueyang Tang, Song Guo, Jie Zhang

CoRR, 2022

Personalized Federated Learning with Contextualized Generalization.

Xueyang Tang, Song Guo, Jingcai Guo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Personalized Federated Learning with Clustered Generalization.

Xueyang Tang, Song Guo, Jingcai Guo

CoRR, 2021