Yue Yu

I’m Yue Yu, a PhD candidate in Statistical Science at Indiana University. I am fortunate to be jointly advised by Prof. Chunfeng Huang and Prof. David Crandall. I also work closely with Prof. Dongruo Zhou and Prof. Guanyu Hu.

My research broadly spans Machine Learning, Spatial Statistics, and Sports Analytics. My recent work in Machine Learning focuses on computationally efficient post-training and test-time methods for generative AI models.

Some of my past and current projects include:

• Machine Learning: Continuous-Time and Multi-Task Reinforcement Learning, Test-Time Inference for LLMs, RL Post-Training for LLMs
• Spatial Statistics: Deep Kriging on the Sphere
• Sports Analytics: Causal Inference for basketball player injury and load management, Bayesian copula clustering of player types

Please feel free to reach out by email or LinkedIn message if you are interested in research collaborations or would like to connect for discussion!