Diyang Li

李笛扬

I am a third-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 large-scale 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

Targeted Maximum Likelihood Learning: An Optimization Perspective
Diyang Li, Kyra Gan
Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025)

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, 2025
Neural Information Processing Systems (NeurIPS): 2023, 2024, 2025
International Conference on Learning Representations (ICLR): 2024, 2025, 2026
International Conference on Artificial Intelligence and Statistics (AISTATS): 2023, 2024, 2025, 2026
AAAI Conference on Artificial Intelligence (AAAI): 2023, 2024, 2025, 2026
NeurIPS Workshop on Optimization for Machine Learning (OPT-ML): 2023, 2024, 2025