Xuhong Zhang

Luddy Hall 3012 · 919 E 10th St, Bloomington, IN, 47408 · (812) 855-9035 · zhangxuh{at}iu.edu

My research interest covers a broad range of topics: development and application of computational and statistical techniques, machine learning and deep learning models to theoretical and methodological problems within the areas of medical image analysis, natural language processing, computational biology, social and biophysical network analysis, and pervasive computing. Currently, my work focuses on: prediction and classification of phenotypical cellular biomarkers of tumor cells for medical images; utilizing natural language processing techniques for text mining in medical field; network analysis and comparison based on massive human behavior data; Bayesian methods for clustering, inference and properties of large-scale, high-dimensional, single-cell cytometry datasets. In the past, I worked on the structure of spatially embedded large-scale interpersonal and telecommunication networks; spectural analysis and applications for cross-regional and dynamic communication data.

Professional Experience

Assistant Professor

Here at IU, I am a part of the Precision Health Initiative, which aims to transform biomedical research, health care innovations and the delivery of health interventions in Indiana. I am also a part of the Data Science Program.

August 2020 - Present

Postdoctoral Fellow

I worked with Dr. Debashis Ghosh, Dr. Sheana Bull, Dr. Elena Hsieh, Dr. Pratyaydipta Rudra and Dr. Fuyong Xing on various topics, including single cell clustering, medical imaging and behavioral engagement analysis.

August 2017 - July 2020

Research Assistant

I used to be a research assistant in the lab of Networks, Computation and Social Dynamics (NCASD) led by Prof. Carter Butts, who is my wonderful PhD advisor. I also worked with Dr. Rachel Martin, who inspired my interests in biological problems.

September 2011 - July 2017


Book Chapter

  • Xing F, Zhang X, Cornish TC. “Artificial Intelligence for Pathology.” Artificial Intelligence in Medicine, pp. 183-221, Chapter 11,Elsevier. (2021). DOI: 10.1016/B978-0-12-821259-2.00011-9
  • Journal Papers

  • Zhang X, Cornish TC, Yang L, Bennett T, Ghosh D, Xing F. “Generative Adversarial Domain Adaption for Nucleus Quantificationin Ki67 Images.” JCO Clinical Cancer Informatics. (2020) 4, 666-679. DOI: 10.1200/CCI.19.00108.
  • Portz J, Elbernd K, Plys E, Ford KL, Zhang X, Gore O, Moore SL, Zhou S, Bull S. “Elements of Social Convoy Theory in mHealthfor Palliative Care: A Scoping Review.” JMIR mHealth and uHealth. (2020) 8(1):e16060. DOI: 10.2196/16060
  • Rudra P, Cortés EC, Zhang X, Ghosh D. “Multiple testing approaches for hypotheses in integrative genomics.” WIREs Computational Statistics. (2019):e1493. DOI: 10.1002/wics.1493
  • Ford KL, Moore SL, Zhou S, Gore O, Protz J, Zhang X, Zane R, Wiler J, Bull S. “Advancing evidence-based digital health through aninnovative research environment: An academic-industry partnership case report.” mHealth. (2019) 5:37. DOI: 10.21037/mhealth.2019.08.08
  • Zhang Xand Butts CT. “Activity Correlation Spectroscopy: A New Method for Inferring Social Relationships from Activity Data.” Social Network Analysis and Mining. (2017) 7:1. DOI: 10.1007/s13278-016-0419-9
  • Butts CT, Zhang X, Kelly J, Roskamp K, Unhelkar M, Freites AJ, Tahir S and Martin RW. “Sequence Comparison, Molecular Model-ing, and Network Analysis Predict Structural Diversity in Cysteine Proteases from the Cape Sundew, Drosera Capensis.” Computational and Structural Biotechnology Journal. (2016) 14, 271–282. DOI: 10.1016/j.csbj.2016.05.003
  • Conference Papers

  • Zhou S, Zhang X, Portz J, Moore S, Gore M, Li Q, Levinson A, Bull S. “A Pilot Study and Ecological Model of Smoking Cues to Inform mHealth Strategies for Quitting among Low-income Smokers.” 70th Annual International Communication Association Conference (ICA2020). Gold Coast, Australia. DOI: 10.1177/1524839920942214
  • Zhang X, Mallepudi V and Butts CT. “An Integrated Platform for Collecting Mobile Phone Data and Learning Demographic Features”. IEEE International Conference on Pervasive Computing and Communications (PerCom 2017). Kona, Hawaii. DOI: 10.1109/PER-COMW.2017.7917514
  • Zhang X and Butts CT. “A Novel Multivariate Spectral Regression Model for Learning Relationships Between CommunicationActivity and Urban Ecology.” IEEE International Conference on Pervasive Computing and Communications (PerCom 2016). Sydney, Australia. DOI: 10.1109/PERCOM.2016.7456525

  • Teaching

    CSCI-B 659 Topics Artificial Intelligence: Medical Image Analysis, IUB, Bloomington, IN
  • Instructor
  • Spring, 2021
    CSCI-P 556 Applied Machine Learning, IUB, Bloomington, IN
  • Instructor
  • Fall, 2020
    HACKATHON, Center for Innovative Design & Analysis, CSPH, Aurora, CO
  • Mentor
  • January, 2020
    BIOS 6642 Introduction to Python Programming,Biostatistics and Informatics, CSPH, Aurora, CO
  • Instructor
  • Spring, 2020
    BIOS 6601 Applied Statistics,Biostatistics and Informatics, CSPH, Aurora, CO
  • Instructor
  • Fall, 2017
    HACKATHON, M2Catalyst & UCI Mobile Data Science, UCI, Irvine, CA
  • Mentor
  • May, 2016


      Search Committee Member for Teaching Assistant Professor, IUB, Bloomington, CO
      March, 2021
      Search Committee for Research Assistant Professor, mHealth, CSPH, Aurora, CO
      August, 2018
      Health Analytics and Data Science Program,Biostatistics and Informatics, CSPH, Aurora, CO
      July, 2018



    • We submitted our application for FRSP-SF ! (April, 2021)
    • We submitted a paper to MICAII 2021 ! (March, 2021)