Xu Zheng

According to our database, Xu Zheng authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.

Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong

CoRR, February, 2026

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation.

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Dongsheng Luo

CoRR, August, 2025

SF²Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida.

Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo

CoRR, June, 2025

LM²otifs : An Explainable Framework for Machine-Generated Texts Detection.

Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo

CoRR, May, 2025

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.

Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

PAC Learnability under Explanation-Preserving Graph Perturbations.

Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo

CoRR, 2024

TimeX++: Learning Time-Series Explanations with Information Bottleneck.

Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

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

Parametric Augmentation for Time Series Contrastive Learning.

Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.

Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023