Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. What Should Data Science Education Do with Large Language Models?
    Xinming Tu, James Zou, Weijie J. Su†, and Linjun Zhang†
    arXiv, 2023

2022

  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

2021

  1. Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network
    Jing-Yi Li*, Shen Jin*, Xinming Tu, Yang Ding†, and Ge Gao†
    Briefings in Bioinformatics, 2021
    bbab233

2019

  1. 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