Xuanyu Wu

11 papers A* 1B 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-stage learning network for PVINS modeling and fusion estimation in challenging environments.
Inf. Fusion
Xuanyu Wu, Jiankai Yin, Jian Yang, Xin Liu, Wenshuo Li, Lei Guo
2025 B conf
Online Reliability Assessment of Nuclear Power Components via Mechanistic and Data-Driven Modeling.
TrustCom
Xiangyu Jiang, Yixiong Feng, Zhi-Wu Li, MengChu Zhou, Xuanyu Wu, Jianrong Tan
2024 J jnl
A multi-criteria decision-making approach for pressurized water reactor based on hesitant fuzzy-improved cumulative prospect theory and 2-additive fuzzy measure.
J. Ind. Inf. Integr.
Xuanyu Wu, Yixiong Feng, Shanhe Lou, ZhiWu Li, Bingtao Hu, Zhaoxi Hong, Hengyuan Si, Jianrong Tan
2024 J jnl
Design optimization for pressurized water reactor using improved quantum fish swarm algorithm and intuitionistic linguistic decision-making.
Adv. Eng. Informatics
Yixiong Feng, Xuanyu Wu, Shanhe Lou, Xiuju Song, Zhaoxi Hong, Bingtao Hu, Li Wang, Hengyuan Si, Jianrong Tan
2023 J jnl
Complex characteristics analysis of time-delay digital supply chain driven by cybersecurity.
Kybernetes
Daoming Dai, Xuanyu Wu, Fengshan Si, Zhenan Feng, Weishen Chu
2023 A* conf
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
ICDM
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
2023 J jnl
Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning.
Neurocomputing
Xuanyu Wu, Yixiong Feng, Shanhe Lou, Hao Zheng, Bingtao Hu, Zhaoxi Hong, Jianrong Tan
2022 J jnl
InterpretDL: Explaining Deep Models in PaddlePaddle.
J. Mach. Learn. Res.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
2022 J jnl
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 J jnl
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 J jnl
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou