Publications

Please follow my Google Scholar page for the most recent publications

2025

  1. ISR
    Bias-Aware Mislabeling Detection via Decoupled Confident Learning
    Yunyi Li, Maria De-Arteaga, and Maytal Saar-Tsechansky
    Under Review, 2025
  2. IJOC
    PIE—Partially Interpretable Estimators with Refinement
    Tong Wang, Jingyi Yang, Yunyi Li, and 1 more author
    INFORMS Journal on Computing, 2025

2024

  1. AMS Notices
    Label Bias: A Pervasive and Invisibilized Problem
    Yunyi Li, Maria De-Arteaga, and Maytal Saar-Tsechansky
    Notices of the American Mathematical Society, 2024

2023

  1. Stat
    Gaussian process regression and classification using International Classification of Disease codes as covariates
    Sanvesh Srivastava, Zongyi Xu, Yunyi Li, and 2 more authors
    Stat, 2023

2022

  1. HCOMP
    When more data lead us astray: Active data acquisition in the presence of label bias
    Yunyi Li, Maria De-Arteaga, and Maytal Saar-Tsechansky
    Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2022

2020

  1. JPSM
    Multimorbidity and cancer: using electronic health record (EHR) data to cluster patients in multimorbidity phenotypes (GP735)
    Stephanie Gilbertson-White, Sanvesh Srivastava, Yunyi Li, and 4 more authors
    Journal of Pain and Symptom Management, 2020
  2. JPSM
    Multimorbidity and Cancer: Using Electronic Health Record (EHR) Data to Cluster Patients in Multimorbidity Phenotypes (S787)
    Stephanie Gilbertson-White, Sanvesh Srivastava, Yunyi Li, and 4 more authors
    Journal of Pain and Symptom Management, 2020

2019

  1. Genome Research
    Single-molecule long-read sequencing reveals the chromatin basis of gene expression
    Yunhao Wang, Anqi Wang, Zujun Liu, and 8 more authors
    Genome research, 2019

2018

  1. Neurips
    Next hit predictor-self-exciting risk modeling for predicting next locations of serial crimes
    Yunyi Li and Tong Wang
    AI for Social Good Workshop NIPS2018, 2018