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2020 – today
- 2024
[j6]Yixiong Feng, Xuanyu Wu, Shanhe Lou
, Xiuju Song, Zhaoxi Hong, Bingtao Hu, Li Wang, Hengyuan Si, Jianrong Tan:
Design optimization for pressurized water reactor using improved quantum fish swarm algorithm and intuitionistic linguistic decision-making. Adv. Eng. Informatics 59: 102315 (2024)- [j5]Xuanyu Wu, Yixiong Feng, Shanhe Lou, Zhiwu Li, Bingtao Hu, Zhaoxi Hong, Hengyuan Si, Jianrong Tan:
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. 40: 100631 (2024) - 2023
- [j4]Xuanyu Wu, Yixiong Feng, Shanhe Lou, Hao Zheng, Bingtao Hu, Zhaoxi Hong, Jianrong Tan:
Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning. Neurocomputing 529: 222-235 (2023) - [j3]Daoming Dai, Xuanyu Wu, Fengshan Si, Zhenan Feng, Weishen Chu:
Complex characteristics analysis of time-delay digital supply chain driven by cybersecurity. Kybernetes 52(9): 3362-3390 (2023) - [c1]Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong:
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. ICDM 2023: 309-318 - 2022
- [j2]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou:
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23: 197:1-197:6 (2022) - [j1]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64(12): 3197-3234 (2022) - 2021
- [i2]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR abs/2103.10689 (2021) - [i1]Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou:
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. CoRR abs/2106.10653 (2021)
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