Hongyang Ryan Zhang
Hongyang Zhang photo 

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

ho.zhang@northeastern.edu (work)
hongyang@cs.stanford.edu (personal)

Address: 177 Huntington Ave, Room 2211 (note).
[G]  [DBLP]  [CV]

Hi! I am an assistant professor of computer science at Northeastern University since Fall 2020. My research interests lie at the intersection of machine learning and deep learning, statistical learning theory, and network analysis, with a particular emphasis on the design and analysis of algorithms, and the generalization properties of deep neural networks. I received my Ph.D. from Stanford, advised by Ashish Goel and Greg Valiant. Meanwhile, I had the great fortune working with the Theoretical Computer Science and Machine Learning groups at Stanford. Before moving to Boston, I spent ten months as a postdoc at UPenn's statistics department. I received my B.Eng. from Shanghai Jiao Tong University.

My current research focuses on methodological and theoretical questions relating to machine learning and network analysis, including understanding generalization in deep and pretrained neural networks, using data-dependent measures such as Hessians, designing principled methods for robustly learning from multiple tasks or heterogeneous subpopulations, and designing algorithms for social, mobility network data.


Representative Works

You can also see a more complete list of my publications, either chronologically, or categorized.


I work with an amazing group of students including: Dongyue Li (Ph.D., starting 2021), Haotian Ju (MS in Data Analytics, since 2021), Shreya Singh (MS in CS, since 2022), and Jack Wilkins (Undergraduate in CS, since 2022).

Graduated students: Virender Singh (MS 2021; First employment: Data Scientist at Salesforce), Minghao Liu (MS 2022; First employment, SDE at Palantir).

Prospective students: Please take a look at my recent papers and recent projects at GitHub. Undergraduate students interested in pursuing research are also encouraged to contact me. Students from underrepresented populations are especially encouraged to apply to our Ph.D. in Computer Science program and will be eligible for two years of fellowship. A list of currently open project topics includes:

The ideal student needs to be self-motivated, and have a strong background in programming. If you are interested in working with my students and me as an RA, please fill out this form.

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