Dongyue (Oliver) Li

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

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

My undergraduate major was Computer Science with a special track for Artificial Intelligence. I also took Mathematics and Applied Mathematics as a second major in the School of Mathematical Science.

Email  /  CV  /  Github

I am broadly interested in the machine learning field. Currently, I am focusing on practical designs of machine learning algorithms in two exciting directions: (i) building learning algorithms when only a limited amount of data is available. (ii) building learning algorithms that can generalize to distributionally different tasks. These areas span transfer learning, multi-task learning, contrastive learning, and data augmentation. I am also interested in the generalization theory of deep learning and network analysis. My previous research focuses on model acceleration and system co-design.

Asterisk(*) indicates equal contribution

• Optimal Intervention on Weighted Networks via Edge Centrality
  Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
  KDD Workshop on Epidemiology meets Data Mining and Knowledge discovery (epiDAMIK), 2022
  

• Task Modeling: A Multitask Approach for Improving Robustness to Group Shifts
  Dongyue Li, Huy L. Nguyen, Hongyang R. Zhang
  ICML Workshop on Principles of Distribution Shift (PODS), 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
  Also appears 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
  

Prior to my Ph.D. years

• DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture
  Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He and Li Jiang
  Conference on Design, Automation and Test in Europe (DATE), 2022
  

• AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
  Dongyue Li*, Tao Yang*, Lun Du, Zhezhi He, and Li Jiang
  International Conference on Information and Knowledge Management (CIKM), 2021. Short paper.
  

• Personalized and Environment-Aware Battery Prediction for Electric Vehicles
  Dongyue Li*, Guangyu Li*, Bo Jiang*, Zhengping Che, and Yan Liu
  KDD Workshop on Mining and Learning from Time Series (MiLeTS), 2021
  

• PIMGCN: A ReRAM-based PIM Design for Graph Convolutional Network Acceleration
  Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, and Li Jiang
  Design Automation Conference (DAC), 2021
  

• ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator
  Dongyue Li*, Zhuoran Song*, Zhezhi He, Xiaoyao Liang, and Li Jiang
  International Symposium on Circuits and Systems (ISCAS), 2021
  

Northeastern University, BOS, U.S.
Ph.D in Computer Science, Sep. 2021 to Present
Research Focus: Machine Learning Algorithms and Network Analysis
Advisors: Prof. Hongyang R. Zhang

Shanghai Jiao Tong University, SH, China
B.S. in Computer Science and Technology, Sep. 2016 to Jun. 2020 (Major)
Research Focus: Neural Network Acceleration Algorithm and Network Optimization
Advisors: Prof. Li Jiang
B.S. in Mathematics and Applied Mathematics, Mar. 2018 to Jun. 2020 (Minor)
Ralated Courses: Analysis, Abstracted Algebra, and Differential Equations

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

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

I like photographing, editing music, and watching stand-up comedy shows & movies for fun.
[My photographs in a microblog (Chinese Platform)]

I am a tennis fan. My favorite player is Simona Halep from Romania. She won the Wimbledon Champion of women's single 2019! I love playing tennis, swimming, and working out in the gym.

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