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
55 2017 Smoluchowski-Kramers approximation in the case of variable friction M Freidlin, W Hu
arXiv preprint arXiv:1203.0603, 2012
27 2012 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
14 2013 On perturbations of generalized Landau-Lifshitz dynamics M Freidlin, W Hu
Journal of Statistical Physics 144 (5), 978-1008, 2011
14 2011 On the fast convergence of random perturbations of the gradient flow J Yang, W Hu, CJ Li
Asymptotic Analysis, 1-23, 2020
12 2020 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
11 2019 On diffusion in narrow random channels M Freidlin, W Hu
Journal of Statistical Physics 152 (1), 136-158, 2013
9 2013 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
8 2020 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
8 2019 Hypoelliptic multiscale Langevin diffusions: large deviations, invariant measures and small mass asymptotics W Hu, K Spiliopoulos
arXiv preprint arXiv:1506.06181, 2015
8 2015 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
6 2018 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
6 2017 Efficient smooth non-convex stochastic compositional optimization via stochastic recursive gradient descent H Yuan, X Lian, CJ Li, J Liu
5 2019 De-biasing Covariance-Regularized Discriminant Analysis. H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo
IJCAI, 2889-2897, 2018
5 2018 Wave front propagation for a reaction–diffusion equation in narrow random channels M Freidlin, W Hu
Nonlinearity 26 (8), 2333, 2013
5 2013 On stochasticity in nearly-elastic systems M Freidlin, W Hu
Stochastics and Dynamics 12 (03), 1150020, 2012
5 2012 Lotka-volterra models of predator-prey relationships T Blaszak, DW Hu
web. mst. edu, Retrieved, 09-30, 2019
4 2019 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
4 2017 
Haoyi XiongPrincipal Architect & Research Scientist, BaiduEmail verificata su baidu.com
