Xu Zheng

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.
AAAI
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2026 J jnl
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.
CoRR
Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong
2025 A* conf
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.
ICLR
Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2025 J jnl
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation.
CoRR
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Dongsheng Luo
2025 J jnl
LM
CoRR
Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo
2025 J jnl
SF
CoRR
Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo
2024 J jnl
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.
CoRR
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2024 J jnl
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.
CoRR
Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2024 J jnl
PAC Learnability under Explanation-Preserving Graph Perturbations.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo
2024 A* conf
Parametric Augmentation for Time Series Contrastive Learning.
ICLR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 J jnl
Parametric Augmentation for Time Series Contrastive Learning.
CoRR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 A* conf
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
ICML
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 J jnl
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
CoRR
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 A* conf
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
ICLR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 J jnl
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.
EuroS&P Workshops
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo