Yongyi Yang (杨永祎)

Yongyi is a second-year Ph.D. student at University of Michigan, under the supervision of Prof. Wei Hu. His recent research interests include graph neural networks and the foundations of deep learning.

Before that, Yongyi received Bachelor of Science from Fudan university, under the supervision of Prof. Xipeng Qiu. He also had an internship at Amazon Shanghai AI Lab and has his fortune to be advised by Dr. David Wipf and Prof. Zengfeng Huang.

Besides academic research, Yongyi also harbors a passion in mathematics, Chinese classical literature and XiaoXue. Feel free to contact if you share the same interests.

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Publications and Manuscripts

(Last update: 08/30/2023)