Xinming Tu

Univerisity of Washington. Seattle.


Weiming Lake, Bo Ya Ta, Peking University

I am a second year PhD student at the Paul Allen School of Computer Science and Engineering at University of Washington supervised by Sara Mostafavi. Before my PhD, I earned BSs in Biology and Computer Science from Peking University. During my undergraduate, I did some bioinformatics research at Gao Lab. In addition, I also worked as a summer intern at Zhao Lab at Yale University and Sheng Lab at the University of Washington. I also spent six months on ML Group of Microsoft Research Asia as a Full-time research Intern. Please see my CV for more information.

My research interest is using machine learning to decipher the principle of genomics. Recently my research focused on regulatory genomics under the single-cell context, including sequence to function, multi-omics integration, perturbation modeling.


Sep 14, 2022 CLUE is accepted to NeurIPS 2022 as Oral presentation! See you in New Orleans!
Feb 16, 2022 I gave a talk about our CLUE method on the 9th Winter q-bio conference!
Dec 10, 2021 Our method CLUE is the winner in all categories of Match Modality task in Multimodal Single-Cell Data Integration Competition(NeurIPS Competition 2021) :sparkles: :smile:

Selected publications

  1. Cross-Linked Unified Embedding for cross-modality representation learning
    Xinming Tu*, Zhi-Jie Cao*, Chen-Rui Xia, Sara Mostafavi†, and Ge Gao†
    NeurIPS(Oral) 2022
  2. Expectation pooling: an effective and interpretable pooling method for predicting DNA–protein binding
    Xiao Luo*, Xinming Tu*, Yang Ding, Ge Gao†, and Minghua Deng†
    Bioinformatics 2019