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Linyun He
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2020 – today
- 2024
- [j3]Linyun He
, Uday V. Shanbhag
Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data. ACM Trans. Model. Comput. Simul. 34(2): 6:1-6:27 (2024) - 2023
- [c3]Mert Kosan, Linyun He, Shubham Agrawal, Hongyi Liu, Chiranjeet Chetia:
AI Decision Systems with Feedback Loop Active Learner. CSW@WSDM 2023: 44-58 - [c2]Linyun He, Eunhye Song
Efficient Input Uncertainty Quantification for Regenerative Simulation. WSC 2023: 385-396 - 2022
- [j2]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Nonparametric Learning of Two-Layer ReLU Residual Units. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [c1]Linyun He, Eunhye Song
Nonparametric Kullback-Liebler Divergence Estimation Using M-Spacing. WSC 2021: 1-12 - 2020
- [i1]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming. CoRR abs/2008.07648 (2020)
2010 – 2019
- 2019
- [j1]Linyun He
Quantitative Reconstruction and Denoising Method HyBER for Hyperspectral Image Data and Its Application to CRISM. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(4): 1219-1230 (2019)
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last updated on 2024-08-05 20:21 CEST by the dblp team
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