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Department of Industrial and Systems Engineering College of Engineering

Research

Peer-Reviewed Publications from Project:

 

* Indicates student of the PIs Liu or Lu. 

  1. Lee, H.Y.*, Hernandez, C.*, and Liu, H., 2022. Regularized sample average approximation for high-dimensional stochastic optimization under low-rankness. Journal of Global Optimization. Forthcoming
  2. Liu, H., Ye, Y. and Lee, H.Y.*, 2022. High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks. Operations Research. DOI, ArXiv
  3. Chen, Y., Liu, H., Ye, X. and Zhang, Q., 2021. Learnable descent algorithm for nonsmooth nonconvex image reconstruction. SIAM Journal on Imaging Sciences, 14(4), pp.1532-1564. Jounal Link, ArXiv
  4. Wang, Y.*, Liu, H., Yang, Y. and Lu, B., A practical algorithm for VMAT optimization using column generation techniques. Medical Physics. DOI
  5. Tseng, W.*, Yan, G., Liu, H., Kahler, D., Li, J., Liu, C. and Lu, B., 2022. A polar‐coordinate‐based pencil beam algorithm for VMAT dose computation with high‐resolution gantry angle sampling. Medical Physics. DOI

Presentations and Talks By The PIs or Students:

  1. Liu, H., Du, L., Almost Dimension-Free Algorithms for Black-Box Optimization with Applications in Training Traffic Monitoring AIs. AI Research Catalyst Fund Awardees Virtual Seminar Series. University of Florida Information Institute. February, 2022
  2. Liu, H., Yang, Y., Lee, H.Y.*, A dimension-insensitive algorithm for stochastic zeroth-order optimization. INFORMS Annual Meeting 2021
  3. Liu, H., Poly-logarithmic sample complexity of regularized neural networks. INFORMS Annual Meeting 2020
  4. Tseng, W.*, Lu, B., Polar Coordinate Based Pencil Beam Dose Calculation Algorithm for VMAT. AAPM Annual Meeting 2021
  5. Liu, H., A Dimension-Insensitive Stochastic First-Order Method for High-Dimensional Optimization in Training Deep Neural Networks. University of Florida Information Institute. April, 2021.