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Jie Zhong
Jie Zhong
California State University, Los Angles
Verified email at calstatela.edu
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Cited by
Cited by
Year
Ease.ml: towards multi-tenant resource sharing for machine learning workloads
T Li, J Zhong, J Liu, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (5), 607-620, 2018
962018
Asynchronous parallel empirical variance guided algorithms for the thresholding bandit problem
J Zhong, Y Huang, J Liu
arXiv preprint arXiv:1704.04567, 2017
182017
Observability inequality of backward stochastic heat equations for measurable sets and its applications
D Yang, J Zhong
SIAM Journal on Control and Optimization 54 (3), 1157-1175, 2016
172016
A Stochastic Time Series Model for Predicting Financial Trends using NLP
P Muthukumar, J Zhong
arXiv preprint arXiv: 2102.01290, 2021
142021
The parametrix method for skew diffusions
A Kohatsu-Higa, D Taguchi, J Zhong
Potential Analysis 45 (2), 299-329, 2016
142016
Optimal actuator location of the minimum norm controls for stochastic heat equations
D Yang, J Zhong
Mathematical Control & Related Fields 8 (3&4), 1081-1095, 2018
72018
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
C Yu, B Karlas, J Zhong, C Zhang, J Liu
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
62019
Hardy's uncertainty principle and unique continuation property for stochastic heat equations
A Fernández-Bertolini, J Zhong
ESAIM: Control, Optimisation and Calculus of Variations 26, 9, 2020
52020
Stochastic evolution systems with constant coefficients
S Lototsky, J Zhong
Stochastic Partial Differential Equations: Analysis and Computations 4 (1 …, 2013
42013
Observability inequalities for the backward stochastic evolution equations and their applications
Y Liu, W Wu, D Yang, J Zhong
arXiv preprint arXiv:2308.11121, 2023
12023
Norm and time optimal control problems of stochastic heat equations
Y Liu, D Yang, J Zhong
arXiv preprint arXiv:2308.08202, 2023
12023
P-MCGS: Parallel Monte Carlo Acyclic Graph Search
C Yu, J Chen, J Zhong, J Liu
arXiv preprint arXiv:1810.11755, 2018
2018
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