Quantitative Reconstruction and Denoising Method HyBER for Hyperspectral Image Data and Its Application to CRISM. - Linyun He; Joseph A. O'Sullivan; Daniel V. Politte; Kathryn E. Powell; Raymond E. Arvidson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming. - Zhunxuan Wang; Linyun He; Chunchuan Lyu; Shay B. Cohen (CoRR, 2020)

Nonparametric Kullback-Liebler Divergence Estimation Using M-Spacing. - Linyun He; Eunhye Song (WSC, 2021)

Nonparametric Learning of Two-Layer ReLU Residual Units. - Zhunxuan Wang; Linyun He; Chunchuan Lyu; Shay B. Cohen (Trans. Mach. Learn. Res., 2022)

AI Decision Systems with Feedback Loop Active Learner. - Mert Kosan; Linyun He; Shubham Agrawal; Hongyi Liu; Chiranjeet Chetia (CSW@WSDM, 2023)

Efficient Input Uncertainty Quantification for Regenerative Simulation. - Linyun He; Eunhye Song; Ben M. Feng (WSC, 2023)

Digital Twin Validation with Multi-Epoch, Multi-Variate Output Data. - Linyun He; Luke Rhodes-Leader; Eunhye Song (WSC, 2024)

Introductory Tutorial: Simulation Optimization Under Input Uncertainty. - Linyun He; Eunhye Song (WSC, 2024)

Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data. - Linyun He; Uday V. Shanbhag; Eunhye Song (ACM Trans. Model. Comput. Simul., 2024)