Research Overview

This page outlines some of the major themes in my research and provides links to my selected publications.

Selected Publications

These selected publications represent the breadth of my research, including recent work with my PhD students at Northeastern. See my Publications page, Google Scholar, and my CV for a complete listing.

• Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
  F. Yang*, H. R. Zhang*, S. Wu, C. Ré, and W. Su
  Journal of Machine Learning Research (JMLR), 2025

• Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
  D. Li, A. Sharma, and H. R. Zhang
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024

• Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
  H. Ju, D. Li, A. Sharma, and H. R. Zhang
  Artificial Intelligence and Statistics (AISTATS), 2023

• Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
  H. Ju, D. Li, and H. R. Zhang
  International Conference on Machine Learning (ICML), 2022

• Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations
  Y. Li*, T. Ma*, and H. Zhang*
  Conference on Learning Theory (COLT), 2018. Best Paper Award