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. I am interested in algorithmic and data-centric aspects of machine learning and network data analysis.

I came to Northeastern after a brief postdoc study at UPenn. I received my Ph.D. from Stanford, advised by Ashish Goel and Greg Valiant. I also collaborated with Tengyu Ma and Chris Ré's groups at Stanford. I received a B.Eng. from Shanghai Jiao Tong University (the ACM class).

Recent updates
  • May 2022 (paper): Excited about two recent works that will be presented at ICML’22 (thanks to the anonymous referees for feedback!):

    • One paper with Michael Zhang et al. about a contrastive learning approach for improving worst-group performance.

    • Another paper with my students about Hessian based generalization for fine-tuned models.

  • May 2022 (talk): gave a talk about understanding and improving generalization in multitask and transfer learning at the One World ML Seminar.

  • Mar 2022 (service): PC member of KDD’22, reviewer of ICML’22.

  • Mar 2022 (talk): presenting our recent work on fine-tuning at Northeastern's CS Theory Lunch Seminar.

  • Feb 2022 (preprint): a new paper that proposes generalization measures and robust algorithms for fine-tuning.

  • Jan 2022 (teaching): advanced machine learning in the spring semester.

  • A list of old updates




Remark: Some of my papers, marked by an asterisk, use an alphabetical ordering of author names. If you find my work interesting, you might also be interested in checking out the following blog posts.


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.