Dingzhi Yu
Scholar

Dingzhi Yu

Google Scholar ID: s7pIGmgAAAAJ
Nanjing University
Machine LearningStochastic OptimizationOnline Learning
Citations & Impact
All-time
Citations
12
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published Paper: Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond (ICML 2024); Several preprints available on arXiv.
Research Experience
  • Currently a research intern at the University of Illinois Urbana-Champaign, under the supervision of Professor Tong Zhang.
Education
  • M.Sc. student, School of Artificial Intelligence, Nanjing University, Supervisor: Professor Lijun Zhang; B.E. degree from School of Data Science, Fudan University (June 2024).
Background
  • Research Interests: The interplay between optimization theory and modern machine learning, with a focus on designing and explaining efficient optimizers for the post-training of Large Language Models. Major: Computer Science and Technology.
Miscellany
  • Awards: Xiaomi Outstanding Scholarship (Top-tier Award, ¥20,000), 2025; Excellent Graduate Student of Nanjing University, 2024; First-Class Academic Scholarship for Graduate Students (¥10,000), 2024. Reviewer for ICLR 2025, 2026; ECAI 2025; BDU@NeurIPS 2024.
Co-authors
0 total
Co-authors: 0 (list not available)