Qingyang Yu (於清扬）
Email: qyu13 [at] stevens [dot] edu
Hi there! I am a third-year Ph.D. student in the Department of Electrical and Computer Engineering, at Stevens Institute of Technology, advised by Dr. Hao Wang. I would also like to express my sincere gratitude to Dr. Yang Hua at Queen’s University Belfast and Dr. Hao Wang at University of Illinois Urbana-Champaign for their tremendous support throughout my long journey.
I received my Master’s Degree in Computer Science at Rutgers University and my Bachelor’s Degree in Computer Sciecne at Univeristy of Liverpool, advised by Dr. Igor Potatpov and Dr. Piotr Krysta.
My reseach interests primarily focus on generalization under distributed and dynamic scenarios, e.g., Continual Learning and Federated Learning.
News
| Sep 24, 2026 | Our work on Personalized Federated Continual Learning, “Bayes-pFCL: Bayesian Personalized Federated Continual Learning” , is accepted at NeurIPS 2026. |
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| Aug 17, 2026 | Our work on Federated Continual Learning for Breast Cancer Radiogenomics, “BreastG-FCL: Graph-Conditioned Federated Continual Learning for Breast Cancer Radiogenomics” , is accepted at IEEE HealthCom 2026. |
| Jun 25, 2026 | Our work on Federated Domain Adaptation, “FedIndex: Federated Domain Adaptation with Continuous Domain Indices” , is accepted at TMLR. |
| Jun 15, 2026 | Zixun Xiong, Qingyang Yu, and Dr. Wang co-authored “Chapter 16: Trustworthy Generative AI for Wireless Communications,” in the new Elsevier book Generative Learning for Wireless Communications: Fundamentals and Applications. |
| Jun 03, 2026 | I was invited to attend the Senior Exhibition at Bergen County Academies, Dr. John Grieco Campus. |
Selected Publications
- NeurIPSBayes-pFCL: Bayesian Personalized Federated Continual LearningIn Proceedings of the Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026