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

I am an Assistant Professor of Computer Science at Northeastern University, Boston. My research interests lie at the intersection of machine learning, algorithms, neural networks, learning theory, and language modeling, including topics such as:

I received my Ph.D. in computer science from Stanford and my B.Eng. in computer science from Shanghai Jiao Tong University. I spent about a year as a postdoc within the statistics and data science department at University of Pennsylvania. 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

Foundation models, multitask learning, fine-tuning:

Slides about our work in this direction.

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

Manuscripts

You may also see my Google Scholar for publication information.

Teaching

Lab

Link to our lab page. Here is a list of current, active lab members:

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