Hongyang Ryan Zhang
Hongyang Zhang photo 

Assistant Professor of Computer Science
Khoury College of Computer Sciences
Northeastern University

Email: hongyang90@gmail.com, or

Address: 177 Huntington Ave, Room 2211 (note).
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Hi! I am an assistant professor of computer science at Northeastern University since Fall 2020. My work lies in the intersection of applied machine learning, statistical learning theory, and network analysis, with a particular emphasis on algorithms and generalization theories. I received my Ph.D. from Stanford, advised by Ashish Goel and Greg Valiant. At Stanford, I collaborated with Tengyu Ma's group and Chris Ré's group. Before moving to Boston, I spent ten months as a postdoc at UPenn's statistics department. I received a B.Eng. from Shanghai Jiao Tong University (the ACM class).

My current focus includes methodological and theoretical questions related to ML algorithms, including: (i) generalization and transfer: how to reason about the generalization error of a deep neural network? What if a pretrained neural net is transferred out of distribution? (ii) weak supervision: learning with noisy labels, multitask learning, and data augmentation.

I'm also interested in the design and analysis of graph algorithms, including: (iii) algorithms for social data: PageRank estimation, and intervention on mobility networks. (iv) learning on graphs: generalization in graph neural networks.





Prior to 2019

Remark: Some of my papers, marked by an asterisk, use an alphabetical ordering of author names.


Ph.D. students

Master's students


Prospective students: I'm always looking for students. If you are already at Northeastern, please feel free to get in touch. We have projects that could use your help: Check out our recent projects at GitHub. Feel free to send me your CV and describe how you would like to contribute. If you did not receive a reponse from me in one week, feel free to send it again (I apologize in advance). Thanks! You could also find other faculty who work on related topics at Northeastern in the Statstical Machine Learning group and the Theory group.

Recent activities