Dongyue (Oliver) Li

I am a Ph.D. Student in the Khoury College of Computer Sciences at Northeastern University starting from Fall 2021. I am fortunate to work with Professor Hongyang R. Zhang.

My current research interest lies in designing principled methodologies for (i) learning with weakly supervised datasets, such as learning from limited labeled data or noisy data; (ii) identifying task transfers and constructing multitask learning systems; (iii) analyzing and learning from network data. I am interested in developing such approaches in transfer learning, multitask learning, contrastive learning, and data augmentation.

I obtained my bachelor degree in Computer Science from Shanghai Jiao Tong University and minored in Mathematics and Applied Mathematics. I was a member of the IEEE honor class, an elite student program in the School of Electronics, Information and Electrical Engineering.

Email  /  CV  /  Github

• Identification of Negative Transfers in Multitask Learning Using Surrogate Models
  Dongyue Li, Huy L. Nguyen, Hongyang R. Zhang
  Transactions on Machine Learning Research (TMLR), 2023 (Featured Certification)
  [Code] [Presented in NeurIPS Workshop on Distribution Shifts (DistShift), 2022]

• Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
  Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
  [Code]

• Optimal Intervention on Weighted Networks via Edge Centrality
  Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
  SIAM International Conference on Data Mining (SDM), 2023
  [Code] [Presented in KDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK), 2022]

• Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
  Haotian Ju*, Dongyue Li*, Hongyang R. Zhang
  Interntional Conference on Machine Learning (ICML), 2022
  [Code] [Presented in ICML Workshop on Updatable Machine Learning (UpML), 2022]

• Improved Regularization and Robustness for Fine-tuning in Neural Networks
  Dongyue Li, Hongyang R. Zhang
  Advances in Neural Information Processing Systems (NeurIPS), 2021
  [Code]

Asterisk(*) indicates equal contribution

Teaching Assistant
CS 7140: Adavanced Machine Learning, Northeastern University, Spring 2023

Full-time Researcher
Shanghai Qi Zhi Institute, Shanghai, Aug. 2020 to Jun. 2021
Research Focus: Graph Neural Networks, Efficient Machine Learning, and System Co-design
Advisors: Prof. Li Jiang

Research Intern
DiDi Chuxing AI Labs, Beijing, Jul. 2019 to Sep. 2019
Research Focus: Spatio-Temporal Data Mining
Advisors: Prof. Yan Liu

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