See a full list of my publications in my CV.

  • H. Liu, X. Wang, T. Yao, R. Li, Y. Ye, Sample approximation with sparsity-inducing penalty for high-dimensional stochastic programming; Forthcoming in Mathematical Programming. 2018.
  • G. Haeser, H. Liu, Y. Ye, Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary; Forthcoming in Mathematical Programming. 2018.
  • H. Liu, L. Xing, Isodose feature-preserving voxelization (IFPV) for radiation therapy treatment planning; Forthcoming in Medical Physics. 2018.
  • H. Wang, P. Dong, H. Liu, L. Xing, Development of an autonomous treatment planning strategy for radiation therapy with effective use of population-based prior data; Medical Physics 44 (2), 389-396. 2017.
  • S. Ren, H. Liu, C. Tao, F. Dong, Tomographic wire-mesh imaging of water-air flow based on sparse minimization; IEEE Sensors Journal 17 (24), 8187-8195. 2017.
  • H. Liu, P. Dong, L. Xing, A new sparse optimization scheme for simultaneous beam angle and fluence map optimization in radiotherapy planning; Physics in Medicine and Biology 62 (16), 6428. 2017.
  • H. Liu, P. Dong, L. Xing, Using measurable dosimetric quantities to characterize the inter-structural tradeoff in inverse planning; Physics in Medicine and Biology 62 (16), 6804. 2017.
  • H. Liu, K. Han, V. Gayah, T. Friesz, T. Yao, Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control; Podium Presentation by 21st International Symposium on Transportation and Traffic Theory (ISTTT 21). Transportation Research Part C 7, 536-555. 2015.
  • H. Liu, T. Yao, R. Li, Y., Ye, Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions; Mathematical Programming 166(1-2): 207-240. 2017.
  • H. Liu, T. Yao, R. Li, Global solutions to nonconvex learning with folded concave penalties; Annals of Statistics 44(2): 629–659. 2016.
  • K. Han, Y. Sun, H. Liu, T.L. Friesz, T. Yao, A bi-level model of dynamic traffic signal control with continuum approximation; Transportation Research Part C 55, 409-431. 2014.
  • K. Han, T.L. Friesz, W.Y. Szeto, H. Liu, Elastic demand dynamic network user equilibrium: Formulation, existence and computation; Transportation Research Part B 81, 183-209. 2015.
  • A. Thorsen, H. Liu, T. Yao, Robust inventory control under lead time uncertainty; 2013 Industrial and Systems Engineering Research Conference. 2013.
  • K. Han, T. L. Friesz, H. Liu, T. Yao, A robust optimization approach for dynamic traffic signal control with emission constraints; Transportation Research Part C 70, 3-26. 2015.
  • K. Han, T. L. Friesz, H. Liu, T. Yao, Dynamic congestion and tolls with mobile source emission; ISTTT, 2013.
  • B. D. Chung, T. Yao, T. L. Friesz, H. Liu, Dynamic congestion pricing with demand uncertainty: a robust optimization approach; Transportation Research Part B 46, 1504-1518. 2012.