Research Interests

Dr. Qian is interested in stochastic methods and algorithms, machine learning and interior point methods.


Selected Publications

  • The convergent generalized central paths for linearly constrained convex programming
    X. Qian, L.-Z. Liao, J. Sun, H. Zhu
    SIAM J. Optim., 28(2), 1183-1204, (2018)
  • A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming
    X. Qian, L.-Z. Liao, J. Sun
    Mathematical Programming, (2018)
  • A model of distributionally robust two-stage stochastic convex programming with linear recourse
    B. Li, X. Qian, J. Sun, K. L. Teo, C. J. Yu
    Applied Mathematical Modelling, (2018)
  • Analysis of some interior point continuous trajectories for convex programming
    X. Qian, L.-Z. Liao, J. Sun
    Optimization, (2017)

Education Profile

  • Ph.D., Mathematics, Hong Kong Baptist University, 2017
  • B.Sc., Mathematics, Huazhong University of Science and Technology, 2013

KAUST Affiliations

  • Visual Computing Center (VCC)
  • Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)