Medical College of Wisconsin
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Di Wang PhD, MS

Di Wang PhD, MS profile photo picture

Assistant Professor

Institution: Medical College of Wisconsin
Department: Data Science Institute

Member of the Cancer Center


I am willing to collaborate on research projects.

View Curriculum Vitae

Publications (13)

  • NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models (Lingfeng Luo, Jeremy M G Taylor, Di Wang, Feiyang Deng, Yubo Shao, Kevin He) Advances in Neural Information Processing Systems (NeurIPS) 09/24/2026    
  • survkl: an R package for transfer-learning-based integrated Cox models. (Shao Y, Luo L, Liu X, Qiu J, Wang D, He K) Bioinform Adv 2026;6(1):vbag234 PMID: 42677333 PMCID: PMC13528772 SCOPUS ID: 2-s2.0-105048629744 09/01/2026    
  • Discrete Survival Knowledge Distillation for Competing Risks Analysis (Feiyang Deng, Lingfeng Luo, Di Wang, Qinmengge Li, Lingxuan Kong, Kevin He) Proceedings of the 43rd International Conference on Machine Learning (ICML) 04/30/2026    
  • Incorporating external risk information with the Cox model under population heterogeneity: applications to trans-ancestry polygenic hazard scores (Di Wang, Wen Ye, Ji Zhu, Gongjun Xu, Weijing Tang, Matthew Zawistowski, Lars G Fritsche, Kevin He) Journal of the Royal Statistical Society Series A: Statistics in Society 04/02/2026    
  • Kullback-Leibler-based discrete failure time models for integration of published prediction models with new time-to-event dataset. (Wang D, Ye W, Sung R, Jiang H, Taylor JM, Ly L, et al. ) Ann Appl Stat. 2025;19(2):1167-1189. 06/01/2025    
  • Neural Network for Correlated Survival Outcomes Using Frailty Model (Zhou R, He K, Wang D, Liu L, Ma S, Qu A, et al. ) J Data Sci. 2025:1–14. doi:10.6339/25‑JDS1173. 03/26/2025    
  • Cost-effectiveness of the National Diabetes Prevention Program: A Real-world, 2-Year Prospective Study. (Kuo S, Ye W, Wang D, McEwen LN, Villatoro Santos C, Herman WH) Diabetes Care 2025 Jul 01;48(7):1180-1188 PMID: 39565893 PMCID: PMC12178621 SCOPUS ID: 2-s2.0-105009948174 11/20/2024       20 Citations
  • Health Care Provider Clustering Using Fusion Penalty in Quasi-Likelihood. (Liu L, He K, Wang D, Ma S, Qu A, Luan Y, Miller JP, Song Y, Liu L) Biom J 2024 Sep;66(6):e202300185 PMID: 39101657 PMCID: PMC11568107 SCOPUS ID: 2-s2.0-85200258822 08/05/2024       5 Citations
  • Healthcare center clustering for Cox's proportional hazards model by fusion penalty. (Liu L, He K, Wang D, Ma S, Qu A, Lin L, Miller JP, Liu L) Stat Med 2023 Sep 10;42(20):3685-3698 PMID: 37315935 PMCID: PMC10530598 SCOPUS ID: 2-s2.0-85161877731 06/15/2023       6 Citations
  • Bronchodilators in Tobacco-Exposed Persons with Symptoms and Preserved Lung Function. (Han MK, Ye W, Wang D, White E, Arjomandi M, Barjaktarevic IZ, Brown SA, Buhr RG, Comellas AP, Cooper CB, Criner GJ, Dransfield MT, Drescher F, Folz RJ, Hansel NN, Kalhan R, Kaner RJ, Kanner RE, Krishnan JA, Lazarus SC, Maddipati V, Martinez FJ, Mathews A, Meldrum C, McEvoy C, Nyunoya T, Rogers L, Stringer WW, Wendt CH, Wise RA, Wisniewski SR, Sciurba FC, Woodruff PG, RETHINC Study Group) N Engl J Med 2022 Sep 29;387(13):1173-1184 PMID: 36066078 PMCID: PMC9741866 SCOPUS ID: 2-s2.0-85139375980 09/07/2022       113 Citations
  • A cross-validation statistical framework for asymmetric data integration. (Tran L, He K, Wang D, Jiang H) Biometrics 2023 Jun;79(2):1280-1292 PMID: 35524490 PMCID: PMC9637892 SCOPUS ID: 2-s2.0-85130590203 05/08/2022       11 Citations
  • Development of clinical prediction models for renal and cardiovascular outcomes and mortality in patients with type 2 diabetes and chronic kidney disease using time-varying predictors. (Ye W, Ding X, Putnam N, Farej R, Singh R, Wang D, Kuo S, Kong SX, Elliott JC, Lott J, Herman WH) J Diabetes Complications 2022 May;36(5):108180 PMID: 35339377 SCOPUS ID: 2-s2.0-85127322868 03/28/2022       10 Citations
  • Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data. (Wang D, Jing Z, He K, Garmire LX) Bioinformatics 2021 Sep 09;37(17):2772-2774 PMID: 33515235 PMCID: PMC8428611 SCOPUS ID: 2-s2.0-85116455402 01/31/2021       14 Citations
    • Last update: 10/06/2026