Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (CoRR, 2021)

Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. - Xuanyu Wu; Xuhong Li 002; Haoyi Xiong; Xiao Zhang 001; Siyu Huang; Dejing Dou (CoRR, 2021)

InterpretDL: Explaining Deep Models in PaddlePaddle. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Zeyu Chen; Dejing Dou (J. Mach. Learn. Res., 2022)

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (Knowl. Inf. Syst., 2022)

ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. - Xuhong Li 002; Xuanyu Wu; Linghe Kong; Xiao Zhang 001; Siyu Huang; Dejing Dou; Haoyi Xiong (ICDM, 2023)

Complex characteristics analysis of time-delay digital supply chain driven by cybersecurity. - Daoming Dai; Xuanyu Wu; Fengshan Si; Zhenan Feng; Weishen Chu (Kybernetes, 2023)

Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning. - Xuanyu Wu; Yixiong Feng; Shanhe Lou; Hao Zheng; Bingtao Hu; Zhaoxi Hong; Jianrong Tan (Neurocomputing, 2023)

Design optimization for pressurized water reactor using improved quantum fish swarm algorithm and intuitionistic linguistic decision-making. - Yixiong Feng; Xuanyu Wu; Shanhe Lou; Xiuju Song; Zhaoxi Hong; Bingtao Hu; Li Wang; Hengyuan Si; Jianrong Tan (Adv. Eng. Informatics, 2024)

A multi-criteria decision-making approach for pressurized water reactor based on hesitant fuzzy-improved cumulative prospect theory and 2-additive fuzzy measure. - Xuanyu Wu; Yixiong Feng; Shanhe Lou; Zhiwu Li 001; Bingtao Hu; Zhaoxi Hong; Hengyuan Si; Jianrong Tan (J. Ind. Inf. Integr., 2024)