Bifei Mao

According to our database, Bifei Mao authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Developing a Grounded View of AI.

Bifei Mao, Lanqing Hong

CoRR, November, 2025

2024

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes].

Bo Yuan, Shenhao Gui, Qingquan Zhang, Ziqi Wang, Junyi Wen, Bifei Mao, Jialin Liu, Xin Yao

IEEE Comput. Intell. Mag., May, 2024

2023

Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning.

Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao

IEEE Trans. Evol. Comput., 2023

An Overview of Artificial Intelligence Ethics.

Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao

IEEE Trans. Artif. Intell., 2023

Robust Deep Learning Models against Semantic-Preserving Adversarial Attack.

Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2023

Constrained Reinforcement Learning for Dynamic Material Handling.

Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Formal Analysis of 5G Authentication and Key Management for Applications (AKMA).

Tengshun Yang, Shuling Wang, Bohua Zhan, Naijun Zhan, Jinghui Li, Shuangqing Xiang, Zhan Xiang, Bifei Mao

J. Syst. Archit., 2022

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning.

Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao

CoRR, 2022

Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning.

Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Formal Analysis of 5G AKMA.

Tengshun Yang, Shuling Wang, Bohua Zhan, Naijun Zhan, Jinghui Li, Shuangqing Xiang, Zhan Xiang, Bifei Mao

Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2021

Trustworthiness Derivation Tree: A Model of Evidence-Based Software Trustworthiness.

Yuxin Deng, Zezhong Chen, Wenjie Du, Bifei Mao, Zhizhang Liang, Qiushi Lin, Jinghui Li

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Trust and Trustworthiness: What They Are and How to Achieve Them.

Jinghui Li, Bifei Mao, Zhizhang Liang, Zeqi Zhang, Qiushi Lin, Xin Yao

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Fairer Machine Learning Through Multi-objective Evolutionary Learning.

Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021