* : work accomplished at Georgia Institute of Technology
Boldface: student author
_ : authorship of Shihao Yang

Published and Accepted Journal Articles

  1. * S. Zhu, Bukharin, L. Xie, S. Yang, P. Keskinocak, and Y. Xie, 2021. Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE Journal of Selected Topics in Signal Processing. SPECIAL ISSUE (2021).
  2. * S. Er, S. Yang^, T. Zhao^, “COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction”, Scientific Reports. 11:14262 (2021).
    ^ Joint corresponding author
  3. * S. Zhu, Bukharin, L. Xie, M. Santillana, S. Yang^, and Y. Xie^. “High-resolution spatio-temporal model for county-level COVID-19 activity in the U.S.” ACM Transactions on Management Information Systems Vol. 12, No. 4 (2021).
    ^ Joint corresponding author
  4. * Yang, S. W. K. Wong, and S. C. Kou, “Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes”, Proceedings of the National Academy of Sciences (2021)
  5. * Yang, S. Ning, and S. C. Kou. “Use Internet Search Data to Accurately Track State-Level Influenza Epidemics” Scientific Reports (2021)
  6. * F. Wang, Yang, N. Palmer, K. Fox, I. S. Kohane, K. H. Yu, and S. C. Kou. “Real-World Data Analyses Unveiled the Autoimmune Effects of Immunotherapy across Cancer Types” NPJ Precision Oncology. 5, 82 (2021).
  7. C. Kou, S. Yang, C. Chang, T. Ho, and L. Graverand. “Unmasking the actual COVID-19 case count” Clinical Infectious Diseases (2020)
  8. Ning^, S. Yang^, and S. C. Kou. “Accurate regional influenza epidemics tracking using Internet search data” Scientific Reports. 9:1 (2019)
    ^ Equal contribution
  9. Yang, K. H. Yu, N. Palmer, K. Fox, S. C. Kou, and I. S. Kohane, “Autoimmune effects of lung cancer immunotherapy revealed by data-driven analysis on a nationwide cohort”, Clinical Pharmacology & Therapeutics (2019)
  10. L. Kehl, S. Yang, M. M. Awad, N. Palmer, I. S. Kohane, and D. Schrag, “Pre-existing autoimmune disease and the risk of immune-related adverse events among real-world patients receiving checkpoint inhibitors for cancer”, Cancer Immunology, Immunotherapy (2019).
  11. Yang, M. Santillana, J. S. Brownstein, J. Gray, S. Richardson, and S. C. Kou. “Using electronic health records and Internet search information for accurate influenza forecasting” BMC infectious diseases. 17:1 (2017)
  12. Yang, S. C. Kou, F. Lu, J. S. Brownstein, N. Brooke, and M. Santillana. “Advances in using Internet searches to track dengue” PLOS computational biology. 13:7 (2017)
  13. Yang, Y. Chen, E. Bernton, and J. S. Liu, “On parallelizable Markov chain Monte Carlo algorithms with waste-recycling”, Statistics and Computing, 1:9 (2017)
  14. Obayashi, P. Protter, and S. Yang, “The lifetime of a financial bubble”, Mathematics and Financial Economics 11:1 (2017)
  15. Yang, M. Santillana, and S. C. Kou, “Accurate estimation of influenza epidemics using Google search data via ARGO”, Proceedings of the National Academy of Sciences. 112:47 (2015)

Conference Presentation with Proceedings (Refereed)

  1. * Yim, N. Kim, S. Yang, B. Montreuil, “Data-Driven Prediction of Demand in a Pandemic for Critical Consumables Over a Shared Distribution Network”, IIE Annual Conference. Proceedings; Norcross (2021): 788-793.

Submitted Journal Articles

  1. * C. Huang, Ma, S. Yang, “MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics”, AISTATS 2022. Submitted Oct 2021. Under Review.

Articles In Preparation

  1. * Y. Sun, Yang, “Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems”, Journal of the American Statistical Association. (to be submitted)
  2. * S. Ma, Yang, “COVID-19 Forecasts Using Internet Search Information in the United States”, Journal of Medical Internet Research. Submitted Jun 2021. (to be submitted)
  3. * P. Protter, Q. Wu, S. Yang, “Order Book Queue Hawkes-Markovian Modeling”, SIAM Journal on Financial Mathematics. (to be submitted)