Yongyi is a senior student at Fudan University, under supervision of Prof. Xipeng Qiu. Currently he is having an internship at Amazon Shanghai AI Lab and has his fortune to be advised by Dr. David Wipf. He also works closely with Prof. Zengfeng Huang.
His recent research interests include graph representation learning and optimization-induced models.
He is going to the University of Michigan to persue Ph.D. study, under the supervision of Prof. Wei Hu.
Transformers from an Optimization Perspective Yongyi Yang, Zengfeng Huang, David Wipf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang , Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
ICML 2021, long talk
Implicit vs Unfolded Graph Neural Networks Yongyi Yang, Yangkun Wang, Tang Liu, Zengfeng Huang, David Wipf
Relation of the Relations: A New Paradigm of the Relation Extraction Problem Zhijing Jin*, Yongyi Yang*, Xipeng Qiu, Zheng Zhang
(Last update: 22/06/09)