Wenqing Hu
Wenqing Hu
Missouri University of Science and Technology (formerly University of Missouri, Rolla)
Email verificata su mst.edu - Home page
Titolo
Citata da
Citata da
Anno
On the diffusion approximation of nonconvex stochastic gradient descent
W Hu, CJ Li, L Li, JG Liu
Annals of Mathematical Sciences and Applications 4 (1), 2019
80*2019
Human mobility synchronization and trip purpose detection with mixture of hawkes processes
P Wang, Y Fu, G Liu, W Hu, C Aggarwal
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
552017
Smoluchowski-Kramers approximation in the case of variable friction
M Freidlin, W Hu
arXiv preprint arXiv:1203.0603, 2012
272012
Small mass asymptotic for the motion with vanishing friction
M Freidlin, W Hu, A Wentzell
Stochastic Processes and their Applications 123 (1), 45-75, 2013
142013
On perturbations of generalized Landau-Lifshitz dynamics
M Freidlin, W Hu
Journal of Statistical Physics 144 (5), 978-1008, 2011
142011
On the fast convergence of random perturbations of the gradient flow
J Yang, W Hu, CJ Li
Asymptotic Analysis, 1-23, 2020
122020
Real-time frequency regulation using aggregated electric vehicles in smart grid
MM Islam, X Zhong, Z Sun, H Xiong, W Hu
Computers & Industrial Engineering 134, 11-26, 2019
112019
On diffusion in narrow random channels
M Freidlin, W Hu
Journal of Statistical Physics 152 (1), 136-158, 2013
92013
On the noisy gradient descent that generalizes as sgd
J Wu, W Hu, H Xiong, J Huan, V Braverman, Z Zhu
International Conference on Machine Learning, 10367-10376, 2020
82020
Large deviations and averaging for systems of slow-fast stochastic reaction–diffusion equations
W Hu, M Salins, K Spiliopoulos
Stochastics and Partial Differential Equations: Analysis and Computations 7 …, 2019
82019
Hypoelliptic multiscale Langevin diffusions: large deviations, invariant measures and small mass asymptotics
W Hu, K Spiliopoulos
arXiv preprint arXiv:1506.06181, 2015
82015
: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing
H Xiong, W Cheng, J Bian, W Hu, Z Sun, Z Guo
IEEE transactions on neural networks and learning systems 30 (3), 707-717, 2018
62018
On the global convergence of a randomly perturbed dissipative nonlinear oscillator
W Hu, CJ Li, W Su
arXiv preprint arXiv:1712.05733v3 [math.PR], 2017
62017
Efficient smooth non-convex stochastic compositional optimization via stochastic recursive gradient descent
H Yuan, X Lian, CJ Li, J Liu
52019
De-biasing Covariance-Regularized Discriminant Analysis.
H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo
IJCAI, 2889-2897, 2018
52018
Wave front propagation for a reaction–diffusion equation in narrow random channels
M Freidlin, W Hu
Nonlinearity 26 (8), 2333, 2013
52013
On stochasticity in nearly-elastic systems
M Freidlin, W Hu
Stochastics and Dynamics 12 (03), 1150020, 2012
52012
Lotka-volterra models of predator-prey relationships
T Blaszak, DW Hu
web. mst. edu, Retrieved, 09-30, 2019
42019
A convergence analysis of the perturbed compositional gradient flow: Averaging principle and normal deviations
CJ Hu, Wenqing, Li
Discrete & Continuous Dynamical Systems-A 38 (10), 4951-4977, 2018
4*2018
AWDA: An Adaptive Wishart Discriminant Analysis
H Xiong, W Cheng, W Hu, J Bian, Z Guo
ICDM 2017 (2017 IEEE International Conference on Data Mining), New Orleans …, 2017
42017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20