SelectedWorks - Wenqing Hu

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Selected Works of Wenqing Hu

Assistant Professor of Mathematics; Investigator, Intelligent Systems Center

Dr. Wenqing Hu is currently an Assistant Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly the University of Missouri--Rolla). He holds a Ph.D. in Mathematics from the University of Maryland, College Park, and a B.S. from the School of Mathematical Sciences, Peking University. Prior to joining Missouri S&T, Dr. Hu worked as a Postdoctoral Associate at the School of Mathematics, University of Minnesota, Twin Cities. 

Dr. Hu's research interests include Probability: Stochastic Analysis, Stochastic Dynamical Systems, (Stochastic) Partial Differential Equations; and Statistics: High-Dimensional Statistics, Stochastic Approximation and Optimization.

New Faculty 2016-2017
Investigator, Intelligent Systems Center

Works
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About Wenqing Hu

Dr. Wenqing Hu is currently an Assistant Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly the University of Missouri--Rolla). He holds a Ph.D. in Mathematics from the University of Maryland, College Park, and a B.S. from the School of Mathematical Sciences, Peking University. Prior to joining Missouri S&T, Dr. Hu worked as a Postdoctoral Associate at the School of Mathematics, University of Minnesota, Twin Cities. 

Dr. Hu's research interests include Probability: Stochastic Analysis, Stochastic Dynamical Systems, (Stochastic) Partial Differential Equations; and Statistics: High-Dimensional Statistics, Stochastic Approximation and Optimization.

New Faculty 2016-2017
Investigator, Intelligent Systems Center

THE GENERALIZED LYAPUNOV FUNCTION as AO’S POTENTIAL FUNCTION: EXISTENCE ...

Journal of Applied Analysis and Computation (2023)

Haoyu Wang, Wenqing Hu, Xiaoliang Gan and Ping Ao

By using Ao's decomposition for stochastic dynamical systems, a new notion of potential function has been introduced by Ao and ...

Joint Control of Manufacturing and Onsite Microgrid System Via Novel ...

Applied Energy (2022)

Jiaojiao Yang, Zeyi Sun, Wenqing Hu and Louis Steinmeister

Microgrid is a promising technology of distributed energy supply system, which consists of storage devices, generation capacities including renewable sources, ...

Joint Control of Manufacturing and Onsite Microgrid System via Novel ...

Applied Energy (2022)

Jiaojiao Yang, Zeyi Sun, Wenqing Hu and Louis Steinmeister

Microgrid is a promising technology of distributed energy supply system, which consists of storage devices, generation capacities including renewable sources, ...

Flexible Energy Load Identification in Intelligent Manufacturing for Demand Response ...

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (2022)

Md Monirul Islam, Zeyi Sun, Ruwen Qin, Wenqing Hu, et al.

Various Demand Response Programs Have Been Widely Established by Many Utility Companies as a Critical Load Management Tool to Balance ...

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

Journal of Mathematics (2022)

Haoyu Wang, Xiaoliang Gan, Wenqing Hu and Ping Ao

No one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of ...

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

Journal of Mathematics (2022)

Haoyu Wang, Xiaoliang Gan, Wenqing Hu and Ping Ao

No one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of ...

Wave Propagation for Reaction-Diffusion Equations on Infinite Random Trees

Communications in Mathematical Physics (2021)

Wai Tong Louis Fan, Wenqing Hu and Grigory Terlov

The asymptotic wave speed for FKPP type reaction-diffusion equations on a class of infinite random metric trees are considered. We ...

On the Fast Convergence of Random Perturbations of the Gradient ...

Asymptotic Analysis (2021)

Jiaojiao Yang, Wenqing Hu and Chris Junchi Li

We consider in this work small random perturbations (of multiplicative noise type) of the gradient flow. We prove that under ...

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

Journal of Theoretical Probability (2020)

We consider in this work a model conservative system subject to dissipation and Gaussian-type stochastic perturbations. The original conservative system ...

On the Noisy Gradient Descent that Generalizes as SGD

Proceedings of the 37th International Conference on Machine Learning (2020) (2020)

Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, et al.

The gradient noise of SGD is considered to play a central role in the observed strong generalization abilities of deep ...

Flexible Energy Load Identification in Intelligent Manufacturing for Demand Response ...

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (2020)

Md Monirul Islam, Zeyi Sun, Ruwen Qin, Wenqing Hu, et al.

Various demand response programs have been widely established by many utility companies as a critical load management tool to balance ...

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

Proceedings of Advances in Neural Information Processing Systems (2019, Vancouver, Canada) (2019)

Wenqing Hu, Chris Junchi Li, Xiangru Lian, Ji Liu, et al.

Stochastic compositional optimization arises in many important machine learning applications. The objective function is the composition of two expectations of ...

Large Deviations and Averaging for Systems of Slow-Fast Stochastic Reaction-Diffusion ...

Stochastics and Partial Differential Equations: Analysis and Computations (2019)

Wenqing Hu, Michael Salins and Konstantinos Spiliopoulos

We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs) with a separation of fast and ...

On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for ...

Proceedings of the 2019 IEEE International Conference on Big Data (2019, Los Angeles, CA) (2019)

Wenqing Hu, Chris Junchi Li and Xiang Zhou

We study the convergence behavior of a stochastic heavy-ball method with a small stepsize. Under a change of time scale, ...

A Framework of Integrating Manufacturing Plants in Smart Grid Operation ...

Procedia Manufacturing (2019)

Md. Monirul Islam, Zeyi Sun, Wenqing Hu and Cihan H. Dagli

In the deregulated electricity markets run by Independent System Operator (ISO), a two-settlement (day-ahead and real-time) process is typically used ...

Joint Manufacturing and Onsite Microgrid System Control using Markov Decision ...

Procedia Manufacturing (2019)

Wenqing Hu, Zeyi Sun, Y. Zhang and Y. Li

Onsite microgrid generation systems with renewable sources are considered a promising complementary energy supply system for manufacturing plant, especially when ...

Real-Time Frequency Regulation using Aggregated Electric Vehicles in Smart Grid

Computers and Industrial Engineering (2019)

Md. Monirul Islam, Xiao Zhong, Zeyi Sun, Haoyi Xiong, et al.

The electric vehicle (EV) market has witnessed a continuous and steady increase in the past few years. The benefits of ...

DBSDA: Lowering the Bound of Misclassification Rate for Sparse Linear ...

IEEE Transactions on Neural Networks and Learning Systems (2019)

Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, et al.

Linear discriminant analysis (LDA) is a well-known technique for linear classification, feature extraction, and dimension reduction. To improve the accuracy ...

Dynamics of Geodesic Flows with Random Forcing on Lie Groups ...

Journal of Nonlinear Science (2018)

Wenqing Hu and V. Sverak

We consider stochastic perturbations of geodesic flow for left-invariant metrics on finite-dimensional Lie groups and study the Hörmander condition and ...

A Convergence Analysis of the Perturbed Compositional Gradient Flow: Averaging ...

Discrete and Continuous Dynamical Systems- Series A (2018)

Wenqing Hu and Chris Junchi Li

We consider in this work a system of two stochastic differential equations named the perturbed compositional gradient flow. By introducing ...

De-Biasing Covariance-Regularized Discriminant Analysis

Proceedings of the 27th International Joint Conference on Artificial Intelligence (2018, Stockholm, Sweden) (2018)

Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, et al.

Fisher's Linear Discriminant Analysis (FLD) is a well-known technique for linear classification, feature extraction and dimension reduction. The empirical FLD ...

AWDA: An Adaptive Wishart Discriminant Analysis

Proceedings of the 17th IEEE International Conference on Data Mining (2017, New Orleans, LA) (2017)

Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, et al.

Linear Discriminant Analysis (LDA) is widely-used for supervised dimension reduction and linear classification. Classical LDA, however, suffers from the ill-posed ...

Multi-Party Sparse Discriminant Learning

Proceedings of the 17th IEEE International Conference on Data Mining (2017, New Orleans, LA) (2017)

Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, et al.

Sparse Discriminant Analysis (SDA) has been widely used to improve the performance of classical Fisher's Linear Discriminant Analysis in supervised ...

On 2d Incompressible Euler Equations with Partial Damping

Communications in Mathematical Physics (2017)

Tarek Elgindi, Wenqing Hu and Vladimir Sverak

We consider various questions about the 2d incompressible Navier-Stokes and Euler equations on a torus when dissipation is removed from ...

Human Mobility Synchronization and Trip Purpose Detection with Mixture of ...

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2017, Halifax, Canada) (2017)

Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, et al.

While exploring human mobility can benefit many applications such as smart transportation, city planning, and urban economics, there are two ...