个人简介
青年研究员。2019年获得香港科技大学运筹学博士学位，之后在美国德州A&M大学从事博士后研究。其主要成果发表于operations research等国际期刊。
近期论文
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A Sparse Expansion of Deep Gaussian Processes Liang Ding, Rui, Tuo, Shahin Shahrampour IISE, accepted.
Sample and Computationally Efficient Stochastic Kriging in High Dimensions Liang Ding, Xiaowei Zhang OR, Forthcoming.
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.
Knowledge Gradient for Selection with Covariates: Consistency and Computation Liang Ding, L. Jeff Hong, Haihui Shen, Xiaowei Zhang NRL, 69 (3), 496-507
Generalization guarantees for sparse kernel approximation with entropic optimal features Liang Ding, Rui, Tuo, Shahin Shahrampour ICML 2020, 2545-2555
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