Yue Li 李越

I am a fifth-year Ph.D. student from the Department of Statistics & Data Science at Carnegie Mellon University. I’m very fortunate to be advised by Professor Kathryn Roeder and Professor Yuting Wei. Prior to CMU, I did my undergraduate in School of Mathemetical Sciences at Peking University, where I worked with Professor Wei Lin and Professor Hao Ge.

I am happy to spend Fall 2021 in UC Berkeley, participating in the Computational Complexity of Statistical Inference program at Simons Institute for the Theory of Computing.

Email: yuel5 [@] andrew [dot] cmu [dot] edu

Current Research Interest

• High-dimensional statistics inference;
• Statistical genetics;
• Transfer learning,

Preprints

• Minimum l1-norm interpolators: Precise asymptotics and multiple descent
  Yue Li, Yuting Wei
  Submitted, 2021

Publications

• Integration and transfer learning of single-cell transcriptomes via cFIT
  Minshi Peng, Yue Li, Brie Wamsley, Yuting Wei, and Kathryn Roeder
  Proceedings of the National Academy of Sciences 118.10 (2021).

• Randomized tests for high-dimensional regression: A more efficient and powerful solution
  Yue Li, Ilmun Kim, and Yuting Wei
  Advances in Neural Information Processing Systems 33 (2020).
  See our NeurIPS presentation here.

• SCRIBE: a new approach to dropout imputation and batch effects correction for single-cell RNA-seq data
  Yiliang Zhang, Kexuan Liang, Molei Liu, Yue Li, Hao Ge, and Hongyu Zhao
  Machine Learning in Computational Biology (MLCB) 2019.

Others

• A short memo on using servers for computing.

• Some Python examples.