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Bifei Mao
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2020 – today
- 2024
- [j4]Bo Yuan
, Shenhao Gui
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]. IEEE Comput. Intell. Mag. 19(2): 129-141 (2024) - 2023
- [j3]Changwu Huang
An Overview of Artificial Intelligence Ethics. IEEE Trans. Artif. Intell. 4(4): 799-819 (2023) - [j2]Qingquan Zhang
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. IEEE Trans. Evol. Comput. 27(4): 848-862 (2023) - [c7]Chengpeng Hu
Constrained Reinforcement Learning for Dynamic Material Handling. IJCNN 2023: 1-9 - [c6]Yunce Zhao
Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. IJCNN 2023: 1-8 - [i3]Dashan Gao, Yunce Zhao, Yinghua Yao
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack. CoRR abs/2304.03955 (2023) - [i2]Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao:
Constrained Reinforcement Learning for Dynamic Material Handling. CoRR abs/2305.13824 (2023) - 2022
- [j1]Tengshun Yang
Formal Analysis of 5G Authentication and Key Management for Applications (AKMA). J. Syst. Archit. 126: 102478 (2022) - [c5]Changwu Huang
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. IJCNN 2022: 1-7 - [i1]Qingquan Zhang, Jialin Liu
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning. CoRR abs/2210.16754 (2022) - 2021
- [c4]Qingquan Zhang
Fairer Machine Learning Through Multi-objective Evolutionary Learning. ICANN (4) 2021: 111-123 - [c3]Jinghui Li, Bifei Mao, Zhizhang Liang, Zeqi Zhang, Qiushi Lin, Xin Yao:
Trust and Trustworthiness: What They Are and How to Achieve Them. PerCom Workshops 2021: 711-717 - [c2]Yuxin Deng, Zezhong Chen, Wenjie Du, Bifei Mao, Zhizhang Liang, Qiushi Lin, Jinghui Li:
Trustworthiness Derivation Tree: A Model of Evidence-Based Software Trustworthiness. QRS Companion 2021: 487-493 - [c1]Tengshun Yang, Shuling Wang, Bohua Zhan, Naijun Zhan, Jinghui Li, Shuangqing Xiang, Zhan Xiang, Bifei Mao:
Formal Analysis of 5G AKMA. SETTA 2021: 102-121
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