§ Research Overview

My research is committed to advancing precision medicine by developing theoretical foundations and providing reliable solutions in machine learning (ML), generative artificial intelligence (AI), and optimization for real-world clinical applications in healthcare. Below is a list of my publications. Feel free to drop me an email if you want to talk about any of these!

§ Publications

• Biologically-Informed Deep Neural Networks Provide Quantitative Assessment of Intratumoral Heterogeneity in Post-Treatment Glioblastoma
  Wang, H., Argenziano, M.G., Yoon, H., Boyett, D., Save, A., Petridis, P., Savage, W., Jackson, P., Hawkins-Daarud, A., Tran, N., Hu, L., Singleton, K.W., Paulson, L., Al-Dalahmah, O., Bruce, J.N., Grinband, J., Swanson, K.R., Canoll, P., Li, J.
  npj Digital Medicine - Nature, accepted, 2024
  Winner of INFORMS DMDA Workshop Best Paper Competition
• A Proximal Augmented Lagrangian Method for Linearly Constrained Nonconvex Composite Optimization Problems
  Melo, J.G., Monteiro, R.D.C., Wang, H.
  Journal of Optimization Theory and Applications, in press, 2024
  
• Knowledge-Informed Machine Learning for Cancer Applications: A review
  Mao, L.*, Wang, H.* (equally contributed first authors), Hu, L., Tran, N., Canoll, P., Swanson, K.R., Li, J.
  IEEE Transactions on Automation Science and Engineering, accepted, 2024
  
• A Novel Hybrid Ordinal Learning Model with Health Care Application
  Wang, L., Wang, H., Su, Y., Lure, F., Li, J.
  IEEE Transactions on Automation Science and Engineering, in press, 2024
  
• Quantifying Intratumoral Genetic Heterogeneity of Glioblastoma toward Precision Medicine Using MRI and a Data-Inclusive Machine Learning Algorithm
  Wang, L., Wang, H., D’Angelo, F., Curtin, L., Sereduk, C.P., De Leon, G., Singleton, K.W., Urcuyo, J., Hawkins-Daarud, A., Jackson, P., Krishna, C., Zimmerman, R.S., Patra, D.P., Bendok, B.R., Smith, K.A., Nakaji, P., Donev, K., Baxter, L.C., Mrugała, M.M., Ceccarelli, M., Iavarone, A., Swanson, K.R., Tran, N., Hu, L., Li, J.
  PLOS One, in press, 2024
• SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical Knowledge-Informed Label Smoothing
  Wang, H.*, Mao, L.* (equally contributed first authors), Zhang, Z., Li, J.
  IISE Transactions on Healthcare Systems Engineering, under review
  Winner of IISE DAIS Student Data Analytics Competition
• A Self-Supervised Self-Corrected Masked Autoencoder with Brain Tumor Applications
  Wang, H., Mao, L., Kwak, M., Li, J.
  Nature Machine Intelligence, to be submitted
  Selected for a Spotlight Talk at the National Cancer Institute Junior Investigator Meeting
• Few-Shot Multi-Source Domain Adaptation for Diagnosis Applications in Healthcare
  Wang, H., Li, J.
  IEEE Transactions on Automation Science and Engineering, in preparation
  

§ Research Awards

• Student Data Analytics Competition Winner
  IISE Data Analytics and Information Systems (DAIS) division, 2024
• Wally George Fellowship
  Georgia Institute of Technology, 2024
• Best Paper Award Winner
  INFORMS Data Mining & Decision Analytics (DMDA) Workshop, 2023
• George Fellowship
  Georgia Institute of Technology, 2023
• David Cowan Scholarship
  Georgia Healthcare Information and Management Systems Society (HIMSS), 2022