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

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.
Apr 30, 2026 Our work on Federated Continual Learning, “GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness” , is accepted at ICML.

Selected Publications

  1. TMLR
    FedIndex: Federated Domain Adaptation with Continuous Domain Indices
    Qingyang Yu, Hao Wang@RU, Qizhen Zhang, and Hao Wang
    Transactions on Machine Learning Research (TMLR), 2026
  2. ICML
    GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
    Qingyang Yu, Yang Hua, Qizhen Zhang, and Hao Wang
    In Proceedings of Forty-Third International Conference on Machine Learning (ICML), 2026