孙明萱，东南大学计算机科学与工程学院教授，博导/硕导，国家级高层次青年人才。博士毕业于佐治亚理工计算机学院，本科毕业于浙江大学竺可桢学院。曾任美国路州州立大学终身副教授。主要研究领域为可信机器学习，关注公平性，安全性和隐私保护性。曾入选美国自然科学基金委杰出青年奖。
招生需求：博士生2-3名、硕士生4-5名、本科生若干。欢迎2026年直博、保研的学生联系（请申请同学在邮件中附上简历）。
我的论文可以在以下网站查询：
部分近期论文：
Efficient training of large-scale AI models through federated mixture-of-experts: a system-level approach.
IEEE Communications Magazine, 2026.
Learning to rank with top-K fairness.
Transactions on Machine Learning Research, 2025.
Joint device and training scheduling for wireless federated learning.
IEEE Internet of Things J., 2025.
DualGFL: federated learning with a dual-level coalition-auction game.
Proc. AAAI Conf. Artificial Intelligence (AAAI), 2025.
Client selection for wireless federated learning with data and latency heterogeneity.
IEEE Internet of Things J., 2024.
Sparse transformer Hawkes process for long event sequences.
Proc. Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2023.
List-wise fairness criterion for point processes.
Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.
