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Xueyang Tang
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Journal Articles
- 2026
[j9]Yuqi Wang, Xiaopei Cai, Yi Wang, Xueyang Tang, Shusheng Yang, Tao Wang:
High-speed railway operational safety indicator assessment under earthquakes: a physics-informed hybrid prediction framework. Adv. Eng. Informatics 74: 104705 (2026)
[j8]Yuqi Wang, Xiaopei Cai, Xueyang Tang, Yi Wang, Zengmiao Xu, Xianghui Cai:
An efficient evaluation method for the global reliability of vehicle-track-bridge system under earthquake based on hybrid surrogate model. Eng. Appl. Artif. Intell. 181: 115433 (2026)
[j7]Xiaopei Cai, Yuqi Wang, Xueyang Tang, Yi Wang, Tao Wang:
PEDRA-VTB: A precision-efficient framework for dynamic reliability assessment of vehicle-track-bridge system under extreme disasters. Reliab. Eng. Syst. Saf. 267: 111962 (2026)- 2025
[j6]Xueyang Tang, Yi Wang
, Xiaopei Cai, Fei Yang, Yue Hou:
Diagnosis of high-speed railway ballastless track arching based on unsupervised learning framework. Comput. Aided Civ. Infrastructure Eng. 40(11): 1445-1465 (2025)
[j5]Xueyang Tang, Xiaopei Cai, Yuqi Wang
, Yue Hou:
LCRTR-Net: A low-cost real-time recognition network for rail corrugation in railway transportation. Eng. Appl. Artif. Intell. 140: 109708 (2025)
[j4]Xueyang Tang
, Xiaopei Cai, Yuqi Wang, Pu Wang, Fei Yang:
Advanced VTSDREF for vehicle-turnout system dynamic reliability analysis: Integration of hybrid deep learning and adaptive probability density evolution method. Reliab. Eng. Syst. Saf. 256: 110762 (2025)- 2024
[j3]Xiaopei Cai, Xueyang Tang, Shuo Pan
, Yi Wang
, Hai Yan, Yuheng Ren, Ning Chen, Yue Hou:
Intelligent recognition of defects in high-speed railway slab track with limited dataset. Comput. Aided Civ. Infrastructure Eng. 39(6): 911-928 (2024)
[j2]Yi Wang, Xiaopei Cai, Xueyang Tang
, Shuo Pan, Yuqi Wang, Hai Yan, Yuheng Ren, Yue Hou:
HSRA-Net: Intelligent Detection Network of Anomaly Monitoring Data in High-Speed Railway. IEEE Trans. Intell. Transp. Syst. 25(12): 20793-20803 (2024)
[j1]Tao Guo
, Song Guo
, Junxiao Wang
, Xueyang Tang
, Wenchao Xu
:
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model. IEEE Trans. Mob. Comput. 23(5): 5179-5194 (2024)
Conference and Workshop Papers
- 2025
[c5]Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu:
Causally Motivated Sycophancy Mitigation for Large Language Models. ICLR 2025- 2024
[c4]Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo:
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. ICLR 2024
[c3]Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu:
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. ICML 2024: 47694-47724
[c2]Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong:
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models. ICML 2024: 59505-59519- 2022
[c1]Xueyang Tang
, Song Guo, Jingcai Guo:
Personalized Federated Learning with Contextualized Generalization. IJCAI 2022: 2241-2247
Informal and Other Publications
- 2022
[i2]Xueyang Tang, Song Guo, Jie Zhang:
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning. CoRR abs/2211.11243 (2022)- 2021
[i1]Xueyang Tang, Song Guo, Jingcai Guo
:
Personalized Federated Learning with Clustered Generalization. CoRR abs/2106.13044 (2021)
Coauthor Index

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