Wenqing Hu

According to our database1, Wenqing Hu authored at least 17 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A Visualization Method for Mining Colocation Patterns Constrained by a Road Network.
IEEE Access, 2020

On the Noisy Gradient Descent that Generalizes as SGD.
Proceedings of the 37th International Conference on Machine Learning, 2020

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst., 2019

The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.
CoRR, 2019

Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
CoRR, 2019

Real-time frequency regulation using aggregated electric vehicles in smart grid.
Comput. Ind. Eng., 2019

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Dynamics of Geodesic Flows with Random Forcing on Lie Groups with Left-Invariant Metrics.
J. Nonlinear Sci., 2018

De-biasing Covariance-Regularized Discriminant Analysis.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR, 2017

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

AWDA: An Adaptive Wishart Discriminant Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-party Sparse Discriminant Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR, 2016

Random perturbations of dynamical systems with reflecting boundary and corresponding PDE with a small parameter.
Asymptot. Anal., 2014

On metastability in nearly-elastic systems.
Asymptot. Anal., 2012