Fairer Machine Learning Through Multi-objective Evolutionary Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (ICANN (4), 2021)

Trust and Trustworthiness: What They Are and How to Achieve Them. - Jinghui Li; Bifei Mao; Zhizhang Liang; Zeqi Zhang; Qiushi Lin; Xin Yao 001 (PerCom Workshops, 2021)

Trustworthiness Derivation Tree: A Model of Evidence-Based Software Trustworthiness. - Yuxin Deng; Zezhong Chen; Wenjie Du 001; Bifei Mao; Zhizhang Liang; Qiushi Lin; Jinghui Li (QRS Companion, 2021)

Formal Analysis of 5G AKMA. - Tengshun Yang; Shuling Wang 003; Bohua Zhan; Naijun Zhan; Jinghui Li; Shuangqing Xiang; Zhan Xiang; Bifei Mao (SETTA, 2021)

Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. - Changwu Huang; Zeqi Zhang; Bifei Mao; Xin Yao 001 (IJCNN, 2022)

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (CoRR, 2022)

Formal Analysis of 5G Authentication and Key Management for Applications (AKMA). - Tengshun Yang; Shuling Wang 003; Bohua Zhan; Naijun Zhan; Jinghui Li; Shuangqing Xiang; Zhan Xiang; Bifei Mao (J. Syst. Archit., 2022)

Constrained Reinforcement Learning for Dynamic Material Handling. - Chengpeng Hu; Ziming Wang; Jialin Liu 001; Junyi Wen; Bifei Mao; Xin Yao 001 (IJCNN, 2023)

Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. - Yunce Zhao; Dashan Gao; Yinghua Yao; Zeqi Zhang; Bifei Mao; Xin Yao 001 (IJCNN, 2023)

An Overview of Artificial Intelligence Ethics. - Changwu Huang; Zeqi Zhang; Bifei Mao; Xin Yao 001 (IEEE Trans. Artif. Intell., 2023)

Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (IEEE Trans. Evol. Comput., 2023)

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]. - Bo Yuan 006; Shenhao Gui; Qingquan Zhang; Ziqi Wang 005; Junyi Wen; Bifei Mao; Jialin Liu 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2024)