I am a second-year Ph.D. student in the Department of Computer Science at Cornell University, where I am fortunate to be advised by Prof. Kyra Gan. My research interests are in the intersection of statistical machine learning and optimization.

I received my bachelor degree from Nanjing University of Information Science & Technology in 2023. During my undergrad, I was a visiting student in the Machine Learning Department at Mohamed bin Zayed University of AI.

Research

• Generalized Fast Exact Conformalization
  Diyang Li
  Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS 2024)


• Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
  Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu
  Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight


• When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space
  Diyang Li, Bin Gu
  Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)


• GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
  Xingyu Qu*, Diyang Li*, Xiaohan Zhao, Bin Gu
  Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Spotlight


• Chunk Dynamic Updating for Group Lasso with ODEs
  Diyang Li, Bin Gu
  Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)

Program Committee

• International Conference on Machine Learning (ICML): 2022, 2024
• Neural Information Processing Systems (NeurIPS): 2023, 2024
• International Conference on Learning Representations (ICLR): 2024, 2025
• International Conference on Artificial Intelligence and Statistics (AISTATS): 2023, 2024, 2025
• AAAI Conference on Artificial Intelligence (AAAI): 2023, 2024, 2025
• NeurIPS Workshop on Optimization for Machine Learning (OPT-ML): 2023, 2024, 2025