Hongyang Zhang photo 

Hongyang (Ryan) Zhang
Assistant Professor, Computer Science
Northeastern University
Boston, MA 02115

Address: 177 Huntington Ave FL 22nd, Room #2211

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, statistical learning theory, and data mining, 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

Generalization of neural networks, optimization algorithms, statistical learning theory (talk slides):

Foundation models, multitask learning, fine-tuning (some recent talk slides):

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

Area Chair or Editor: ICML (2024-2025), AISTATS (2023-2025), ALT (2024), AAAI (2025), Journal of Data-Centric Machine Learning Research (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. I grew up in Tianmen, which is a small town near Wuhan in Hubei province.

Affiliations