个人简介
马广智，2025年9月加入南京信息工程大学计算机学院、网络空间安全学院。2025年博士毕业于悉尼科技大学（UTS）澳大利亚人工智能研究所（AAII），近年来主要从事迁移学习，领域自适应与可信赖机器学习相关研究，近五年发表SCI中科院一区学术论文5篇，收录在IEEE TFS、IEEE TNNLS、IEEE TCYB等，担任IEEE TFS、IEEE TNNLS、NeurIPS、KDD、AAAI等CCF-A/B类顶级期刊会议审稿人。
近五年成果：
[1] G Ma, J Lu, Enhancing Out-of-distribution Detection in Transfer Learning Through Intuitionistic Fuzzy Set-Based Prediction, IEEE Transactions on Fuzzy Systems, 2025, published online.
[2] G Ma, J Lu, Z Fang, F Liu, G Zhang, Multiview classification through learning from interval-valued data, IEEE Transactions on Neural Networks and Learning Systems, 2024, Volume: 36 Issue: 5.
[3] G Ma, F Liu, G Zhang, J Lu, Learning from imprecise observations: An estimation error bound based on fuzzy random variables, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8.
[4] G Ma, J Lu, F Liu, Z Fang, G Zhang, Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms, IEEE Transactions on Cybernetics, 2022, Volume: 54 Issue: 2.
[5] G Ma, J Lu, F Liu, Z Fang, G Zhang, Domain Adaptation with Interval-valued Observations: Theory and Algorithms, IEEE Transactions on Fuzzy Systems, 2024, Volume: 32 Issue: 5.
[6] G Ma, J Lu, G Zhang, Multi-source Domain Adaptation with Interval-Valued Target Data via Fuzzy Neural Networks, IEEE Transactions on Fuzzy Systems, 2024, Volume: 32 Issue: 5.
[7] G Ma, J Lu, G Zhang, Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks, 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[8] J Lu, G Ma, G Zhang, Fuzzy machine learning: A comprehensive framework and systematic review, IEEE Transactions on Fuzzy Systems, 2024, Volume: 32 Issue: 7.
教育经历
[1] 2021.1- 2025.2
悉尼科技大学 | 人工智能 | 工学博士 | 博士研究生毕业
[2] 2017.9- 2020.6
兰州大学 | 概率论与数理统计 | 理学硕士 | 硕士研究生毕业
[3] 2013.8- 2017.6
安徽大学 | 数学与应用数学 | 理学学士 | 本科(学士)
工作经历
[1] 2024.10- 2025.9
悉尼科技大学
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澳大利亚人工智能研究所
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博士后
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