On the diffusion approximation of nonconvex stochastic gradient descent W Hu, CJ Li, L Li, JG Liu
arXiv preprint arXiv:1705.07562, 2017
156 * 2017 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
90 2017 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
89 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
43 2019 Smoluchowski-Kramers approximation in the case of variable friction M Freidlin, W Hu
arXiv preprint arXiv:1203.0603, 2012
35 2012 Efficient smooth non-convex stochastic compositional optimization via stochastic recursive gradient descent W Hu, CJ Li, X Lian, J Liu, H Yuan
Advances in Neural Information Processing Systems 32, 2019
24 2019 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
19 2013 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
18 2019 On the fast convergence of random perturbations of the gradient flow J Yang, W Hu, CJ Li
arXiv preprint arXiv:1706.00837, 2017
18 * 2017 Hypoelliptic multiscale Langevin diffusions: large deviations, invariant measures and small mass asymptotics W Hu, K Spiliopoulos
16 2017 On perturbations of generalized Landau-Lifshitz dynamics M Freidlin, W Hu
Journal of Statistical Physics 144, 978-1008, 2011
16 2011 Stochastic Recursive Momentum Method for Non-Convex Compositional Optimization H Yuan, W Hu
arXiv preprint arXiv:2006.01688, 2020
13 2020 Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement Learning Algorithms J Yang, Z Sun, W Hu, L Steimeister
Applied Energy (accepted), 2022
11 2022 Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent W Hu, Z Zhu, H Xiong, J Huan
arXiv preprint arXiv:1901.06054, 2019
11 2019 On diffusion in narrow random channels M Freidlin, W Hu
Journal of Statistical Physics 152, 136-158, 2013
10 2013 Joint manufacturing and onsite microgrid system control using markov decision process and neural network integrated reinforcement learning W Hu, Z Sun, Y Zhang, Y Li
Procedia Manufacturing 39, 1242-1249, 2019
8 2019 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
8 2018 De-biasing Covariance-Regularized Discriminant Analysis. H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo
IJCAI, 2889-2897, 2018
8 2018 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
8 * 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
8 2017 
Haoyi XiongBaidu, Inc.; Missouri S&T; University of Virginia; Telecom SudParis & UPMC Paris VIDirección de correo verificada de baidu.com
