Wenqing Hu

Orcid: 0000-0002-6116-9104

According to our database1, Wenqing Hu authored at least 21 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Parallel Zero-knowledge Virtual Machine.
IACR Cryptol. ePrint Arch., 2024

B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency.
CoRR, 2024

B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine.
Proceedings of the IEEE International Conference on Big Data, 2023

2020
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

2019
$\mathcal{DBSDA}$ : 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 (IEEE BigData), 2019

2018
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

2017
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

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

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

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


  Loading...