Yuhua Zhu

According to our database1, Yuhua Zhu authored at least 39 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization.
J. Mach. Learn. Res., 2024

On Bellman equations for continuous-time policy evaluation I: discretization and approximation.
CoRR, 2024

PhiBE: A PDE-based Bellman Equation for Continuous Time Policy Evaluation.
CoRR, 2024

An interacting particle consensus method for constrained global optimization.
CoRR, 2024

Efficient LLM inference solution on Intel GPU.
CoRR, 2024

2023
Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado.
Remote. Sens., October, 2023

Continuous-in-time Limit for Bayesian Bandits.
J. Mach. Learn. Res., 2023

Research on grain-stored temperature prediction model based on improved SVR algorithm.
J. Comput. Methods Sci. Eng., 2023

Towards Vehicular Domain Controller: A Multi-agent Approach to Control Coordination Considering Actuator Dynamics.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
The Vlasov-Fokker-Planck equation with high dimensional parametric forcing term.
Numerische Mathematik, 2022

2021
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective.
CoRR, 2021

Operator Augmentation for Model-based Policy Evaluation.
CoRR, 2021

Variational Actor-Critic Algorithms.
CoRR, 2021

Borrowing From the Future: Addressing Double Sampling in Model-free Control.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Adaptive single image dehazing method based on support vector machine.
J. Vis. Commun. Image Represent., 2020

Why resampling outperforms reweighting for correcting sampling bias.
CoRR, 2020

A Sharp Convergence Rate for the Asynchronous Stochastic Gradient Descent.
CoRR, 2020

Borrowing From the Future: An Attempt to Address Double Sampling.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2019
Simplified Neutrosophic Exponential Similarity Measures for Evaluation of Smart Port Development.
Symmetry, 2019

A local sensitivity and regularity analysis for the Vlasov-Poisson-Fokker-Planck system with multi-dimensional uncertainty and the spectral convergence of the stochastic Galerkin method.
Networks Heterog. Media, 2019

An Uncertainty Quantification Approach to the Study of Gene Expression Robustness.
CoRR, 2019

2018
Hypocoercivity and Uniform Regularity for the Vlasov-Poisson-Fokker-Planck System with Uncertainty and Multiple Scales.
SIAM J. Math. Anal., 2018

Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent.
CoRR, 2018

Generalized score functions on interval-valued intuitionistic fuzzy sets with preference parameters for different types of decision makers and their application.
Appl. Intell., 2018

Attention-based Neural Network for Traffic Sign Detection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
A Dual Hesitant Fuzzy Rough Pattern Recognition Approach Based on Deviation Theories and Its Application in Urban Traffic Modes Recognition.
Symmetry, 2017

The Vlasov-Poisson-Fokker-Planck System with Uncertainty and a One-dimensional Asymptotic Preserving Method.
Multiscale Model. Simul., 2017

2013
A sustainable experiment platform for railway control system.
Proceedings of the 11th International Symposium on Autonomous Decentralized Systems, 2013

2009
Grain Quality Evaluation Method Based on Combination of BP Neural Networks with D-S Evidence Theory.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Optimal dimension reduction for image retrieval with correlation metrics.
Proceedings of the International Joint Conference on Neural Networks, 2009

Image retrieval based on intrinsic spectral histogram representation.
Proceedings of the International Joint Conference on Neural Networks, 2009

Study of the Logistics Vehicle Scheduling Problem Based on Improved Ants Algorithm.
Proceedings of the Fifth International Conference on Natural Computation, 2009

A Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem.
Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology, 2009

2008
Transductive optimal component analysis.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Hybrid Intelligent Algorithm for the Vehicle Routing with Time Windows.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Optimal Factor Analysis and Applications to Content-Based Image Retrieval.
Proceedings of the Computer Vision and Computer Graphics. Theory and Applications, 2007

A learning approach to content-based image categorization and retrieval.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Content-Based Image Categorization and Retrieval using Neural Networks.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007


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