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, weakly-supervised learning, multi-task learning, meta-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
Publications before 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
In proceeding of the 26th 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
In proceeding of the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021
Personalized and Environment-Aware Battery Prediction for Electric Vehicles
Dongyue Li*, Guangyu Li*, Bo Jiang*, Zhengping Che, and Yan Liu
In 7th SIGKDD 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
In proceedings of the 58th 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
In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Education & Work Experiences
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 am a big 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.
I like photographing, editing music, and watching stand-up comedy shows & movies during my free time.
[My photographs in a microblog (Chinese Platform)]