Wenqing Hu

发表

On the diffusion approximation of nonconvex stochastic gradient descent

Wenqing Hu, C. J. Li, Lei Li, 2017, Annals of Mathematical Sciences and Applications.

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes

Pengfei Wang, Yanjie Fu, Guannan Liu, 2017, KDD.

On the global convergence of a randomly perturbed dissipative nonlinear oscillator

Weijie J. Su, Wenqing Hu, C. J. Li, 2017, 1712.05733.

On Perturbations of Generalized Landau-Lifshitz Dynamics

Wenqing Hu, M. Freidlin, 2011, 1203.0602.

Hypoelliptic multiscale Langevin diffusions: Large deviations, invariant measures and small mass asymptotics

Wenqing Hu, K. Spiliopoulos, 2015, 1506.06181.

De-Biasing Covariance-Regularized Discriminant Analysis Conference

Wenqing Hu, Yanjie Fu, Wei Cheng, 2018 .

Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case

Wenqing Hu, P. Ao, Haoyu Wang, 2022, Journal of Mathematics.

On the Long-Time Behavior of a Perturbed Conservative System with Degeneracy

Wenqing Hu, 2019, Journal of Theoretical Probability.

On the Long-Time Behavior of a Perturbed Conservative System with Degeneracy

Wenqing Hu, 2018, Journal of Theoretical Probability.

On the Noisy Gradient Descent that Generalizes as SGD

Zhanxing Zhu, Vladimir Braverman, Haoyi Xiong, 2019, ICML.

AWDA: An Adaptive Wishart Discriminant Analysis

Wei Cheng, Haoyi Xiong, Jiang Bian, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

On metastability in nearly-elastic systems

Wenqing Hu, Wenqing Hu, 2012, Asymptot. Anal..

On Diffusion in Narrow Random Channels

Wenqing Hu, M. Freidlin, 2013, Journal of Statistical Physics.

Wave front propagation for a reaction–diffusion equation in narrow random channels

Wenqing Hu, M. Freidlin, 2013, 1303.6943.

On Diffusion in Narrow Random Channels

Wenqing Hu, Mark Freidlin, Wenqing Hu, 2012, 1210.5226.

Small mass asymptotic for the motion with vanishing friction

Wenqing Hu, M. Freidlin, A. Wentzell, 2012, 1201.1242.

Asymptotic Problems in Stochastic Processes and Differential Equations

Wenqing Hu, 2013 .

Smoluchowski–Kramers approximation in the case of variable friction

Wenqing Hu, M. Freidlin, 2011, 1203.0603.

De-biasing Covariance-Regularized Discriminant Analysis

Wei Cheng, Yanjie Fu, Haoyi Xiong, 2018, IJCAI.

A Convergence Analysis of the Perturbed Compositional Gradient Flow: Averaging Principle and Normal Deviations

Wenqing Hu, Chris Junchi Li, Wenqing Hu, 2017, 1709.00515.

Real-time frequency regulation using aggregated electric vehicles in smart grid

Md. Monirul Islam, Haoyi Xiong, Xiao Zhong, 2019, Comput. Ind. Eng..

Wave Propagation for Reaction-Diffusion Equations on Infinite Random Trees

Wenqing Hu, W. Fan, Grigory Terlov, 2019, Communications in Mathematical Physics.

ON STOCHASTICITY IN NEARLY-ELASTIC SYSTEMS

Wenqing Hu, M. Freidlin, 2012, 1203.5468.

On Second Order Elliptic Equations with a Small Parameter

Wenqing Hu, M. Freidlin, 2012, 1203.5096.

Multi-party Sparse Discriminant Learning

Wei Cheng, Yanjie Fu, Haoyi Xiong, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing

Haoyi Xiong, Jiang Bian, Wenqing Hu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent

Xiangru Lian, Wenqing Hu, Chris Junchi Li, 2019, NeurIPS.

Joint Manufacturing and Onsite Microgrid System Control Using Markov Decision Process and Neural Network Integrated Reinforcement Learning

Wenqing Hu, Zeyi Sun, Yu Li, 2019, Procedia Manufacturing.

Stochastic Recursive Momentum Method for Non-Convex Compositional Optimization

Wenqing Hu, Huizhuo Yuan, Wenqing Hu, 2020, 2006.01688.

Joint control of manufacturing and onsite microgrid system via novel neural-network integrated reinforcement learning algorithms

Wenqing Hu, Zeyi Sun, Kaibo Xu, 2022, Applied Energy.

Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent pdf

Zhanxing Zhu, Haoyi Xiong, Wenqing Hu, 2019, ArXiv.

On the Posterior Distribution of a Random Process Conditioned on Empirical Frequencies of a Finite Path: the i.i.d and finite Markov chain case

Wenqing Hu, H. Qian, 2022, 2202.11780.

The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation pdf

Zhanxing Zhu, Haoyi Xiong, Wenqing Hu, 2019, ArXiv.

Itô’s Formula, the Stochastic Exponential, and Change of Measure on General Time Scales

Wenqing Hu, 2016, 1609.05967.

On the Noisy Gradient Descent that Generalizes as SGD

Wenqing Hu, V. Braverman, Zhanxing Zhu, 2019, ICML.

Random perturbations of dynamical systems with reflecting boundary and corresponding PDE with a small parameter

Wenqing Hu, Lucas Tcheuko, Wenqing Hu, 2012, Asymptot. Anal..