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Liang Ding

Assistant Professor
SDS, Fudan University
liang_ding@fudan.edu.cn


About Me

I am an Assistant Professor in the School of Data Science at Fudan University. Prior to Fudan, I was a postdoctoral research associate joint appointed by the ISEN department and TAMIDS at Texas A&M University. I got my Ph.D. in operations research from the Hong Kong University of Science and Technology. My research interests lie in simulation optimization, kernel methods, and statistical learning.

Publications

  1. mcGP: Mesh-Clustered Gaussian Process Emulator for PDE systems
    Chih-Li Sung, Wenjia Wang, Liang Ding, Xingjian Wang
    Technometrics, accepted.
    A Sparse Expansion of Deep Gaussian Processes
    Liang Ding, Rui, Tuo, Shahin Shahrampour
    IISE, accepted.
    PDF Code
    Sample and Computationally Efficient Stochastic Kriging in High Dimensions
    Liang Ding, Xiaowei Zhang
    OR, Forthcoming.
    PDF Code coming soon
    Kernel packet: An exact and scalable algorithm for Gaussian process regression with Matérn correlations
    Haoyuan Chen, Liang Ding, Rui, Tuo
    JMLR, 23 (127), 1-32.
    PDF Code
    Knowledge Gradient for Selection with Covariates: Consistency and Computation
    Liang Ding, L. Jeff Hong, Haihui Shen, Xiaowei Zhang
    NRL, 69 (3), 496-507
    PDF
    Generalization guarantees for sparse kernel approximation with entropic optimal features
    Liang Ding, Rui, Tuo, Shahin Shahrampour
    ICML 2020, 2545-2555
    PDF
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    Working Papers

    1. Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression
      Lu Zou, Liang Ding
      A General Theory for Kernel Packets: from state space model to compactly supported basis
      Liang Ding, Rui Tuo
      Random Smoothing Regularization in Kernel Gradient Descent Learning
      Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao
      JMLR, conditional accept.
      Improved Convergence Rate of Nested Simulation with LSE on Sieve
      Ruoxue Liu, Liang Ding, Wenjia Wang, Lu Zou
      JORSC, major.
      High-Dimensional Simulation Optimization via Brownian Fields on Sparse Grids
      Liang Ding, Rui Tuo, Xiaowei Zhang
      BdryGP: a new Gaussian process model for incorporating boundary information
      Liang Ding, Simon Mak,C. F. Jeff Wu


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