Yuhua Zhu

According to our database, Yuhua Zhu authored at least 36 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Efficient LLM inference solution on Intel GPU.

Hui Wu, Yi Gan, Feng Yuan, Jing Ma, Wei Zhu, Yutao Xu, Hong Zhu, Yuhua Zhu, Xiaoli Liu, Jinghui Gu

CoRR, 2024

2023

Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado.

Haipeng Yu, Guobin Chang, Shubi Zhang, Yuhua Zhu, Yajie Yu

Remote. Sens., October, 2023

Research on grain-stored temperature prediction model based on improved SVR algorithm.

Zhihui Li, Yiyi Si, Yuhua Zhu

J. Comput. Methods Sci. Eng., 2023

FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization.

Jose A. Carrillo, Nicolás García Trillos, Sixu Li, Yuhua Zhu

CoRR, 2023

Towards Vehicular Domain Controller: A Multi-agent Approach to Control Coordination Considering Actuator Dynamics.

Lu Xiong, Fankai Zhou, Haoran Lv, Yuhua Zhu, Chen Tang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

The Vlasov-Fokker-Planck equation with high dimensional parametric forcing term.

Shi Jin, Yuhua Zhu, Enrique Zuazua

Numerische Mathematik, 2022

Continuous-in-time Limit for Bayesian Bandits.

Yuhua Zhu, Zach Izzo, Lexing Ying

CoRR, 2022

2021

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

Xiaowu Dai, Yuhua Zhu

CoRR, 2021

Operator Augmentation for Model-based Policy Evaluation.

Xun Tang, Lexing Ying, Yuhua Zhu

CoRR, 2021

Variational Actor-Critic Algorithms.

Yuhua Zhu, Lexing Ying

CoRR, 2021

Borrowing From the Future: Addressing Double Sampling in Model-free Control.

Yuhua Zhu, Zachary Izzo, Lexing Ying

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients.

Jing An, Lexing Ying, Yuhua Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adaptive single image dehazing method based on support vector machine.

Bian Gui, Yuhua Zhu, Tong Zhen

J. Vis. Commun. Image Represent., 2020

Why resampling outperforms reweighting for correcting sampling bias.

Jing An, Lexing Ying, Yuhua Zhu

CoRR, 2020

A Sharp Convergence Rate for the Asynchronous Stochastic Gradient Descent.

Yuhua Zhu, Lexing Ying

CoRR, 2020

Borrowing From the Future: An Attempt to Address Double Sampling.

Yuhua Zhu, Lexing Ying

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

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

Jihong Chen, Kai Xue, Jun Ye, Tiancun Huang, Yan Tian, Chengying Hua, Yuhua Zhu

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.

Yuhua Zhu

Networks Heterog. Media, 2019

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

Pierre Degond, Shi Jin, Yuhua Zhu

CoRR, 2019

2018

Hypocoercivity and Uniform Regularity for the Vlasov-Poisson-Fokker-Planck System with Uncertainty and Multiple Scales.

Shi Jin, Yuhua Zhu

SIAM J. Math. Anal., 2018

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

Xiaowu Dai, Yuhua Zhu

CoRR, 2018

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

Fangwei Zhang, Jihong Chen, Yuhua Zhu, Ziyi Zhuang, Jiaru Li

Appl. Intell., 2018

Attention-based Neural Network for Traffic Sign Detection.

Jing Zhang, Le Hui, Jianfeng Lu, Yuhua Zhu

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.

Fangwei Zhang, Jihong Chen, Yuhua Zhu, Jiaru Li, Qiang Li, Ziyi Zhuang

Symmetry, 2017

The Vlasov-Poisson-Fokker-Planck System with Uncertainty and a One-dimensional Asymptotic Preserving Method.

Yuhua Zhu, Shi Jin

Multiscale Model. Simul., 2017

2013

A sustainable experiment platform for railway control system.

Zhipeng Yuan, Xiaoqing Zeng, Tuo Shen, Yuhua Zhu

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.

Tong Zhen, Zhi Ma, Yuhua Zhu, Qiuwen Zhang

Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Optimal dimension reduction for image retrieval with correlation metrics.

Yuhua Zhu, Washington Mio, Xiuwen Liu

Proceedings of the International Joint Conference on Neural Networks, 2009

Image retrieval based on intrinsic spectral histogram representation.

Yuhua Zhu, Xiuwen Liu, Washington Mio

Proceedings of the International Joint Conference on Neural Networks, 2009

Study of the Logistics Vehicle Scheduling Problem Based on Improved Ants Algorithm.

Yuhua Zhu, Tong Zhen, Qiuwen Zhang

Proceedings of the Fifth International Conference on Natural Computation, 2009

A Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem.

Tong Zhen, Yuhua Zhu, Qiuwen Zhang

Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology, 2009

2008

Transductive optimal component analysis.

Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Hybrid Intelligent Algorithm for the Vehicle Routing with Time Windows.

Qiuwen Zhang, Tong Zhen, Yuhua Zhu, Wenshuai Zhang, Zhi Ma

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.

Yuhua Zhu, Washington Mio, Xiuwen Liu

Proceedings of the Computer Vision and Computer Graphics. Theory and Applications, 2007

A learning approach to content-based image categorization and retrieval.

Washington Mio, Yuhua Zhu, Xiuwen Liu

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.

Yuhua Zhu, Xiuwen Liu, Washington Mio

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007