Hongyang Zhang photo 

Hongyang (Ryan) Zhang
Assistant Professor of Computer Science, Northeastern University

Address:
177 Huntington Ave, Mailstop 177-2211
Boston, MA 02115
Email: ho.zhang@northeastern.edu
Lab, GitHub

Hi! I am an Assistant Professor of Computer Science at Northeastern University, Boston. My research interests lie at the intersection of machine learning, design and analysis of algorithms, learning theory, data, networks, and language modeling, in particular:

I received my Ph.D. in computer science from Stanford, where I worked with various faculty in machine learning and theoretical computer science. Then, I spent about a year as a postdoc within the statistics and data science department at UPenn. For more information about me, please look at my cv.

I enjoy working on technically challenging problems, and strive for broader impacts by creating new knowledge and improving access to education. I support accessible and reproducible research. See our experiment codes on GitHub. Here is a list of my recent activities.

Research

Multitask learning, fine-tuning:

Slides about our work in this direction; a shorter version.

Generalization of neural networks, optimization algorithms, statistical learning theory:

Manuscripts

You may also see my Google Scholar for publication information.

Teaching

Lab

Prospective students: Please take a look at labpage and github. Students with a strong background in mathematics or programming are generally a good fit for conducting the projects. If you are interested, please contact me at hongyang90@gmail.com.

Students who wish to visit me at 177: Note that this building has access control. If you plan to visit me in-person, you should confirm the scheduled time with me before arrival so that I could give you permission to enter the building at the security.

Professional Services

Program Committee Member: ICML (2019-2023; meta-reviewer, 2024), NeurIPS (2019-2024), ICLR (2021-2024), COLT (2024), AISTATS (2021-2022; meta-reviewer, 2023-2025), ALT (meta-reviewer, 2024), KDD (2023-2024), AAAI (2020-2022; meta-reviewer, 2025), WWW 2022, WSDM (2022-2024).

External Conference/Journal Reviewer: STOC (2017, 2018, 2022), FOCS (2015, 2024), SODA (2016, 2021), ITCS (2018, 2019), WINE (2014), ICALP (2014). IEEE Transactions on Information Theory (2022), JMLR (2022), TMLR (2023-).

Conference Organization: INFORMS session chair (2023-2024).

Education/Experience

My Chinese name is written as 张泓洋.

Affiliations