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Yuhua Zhu
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Journal Articles
- 2024
- [j12]José A. Carrillo, Nicolás García Trillos, Sixu Li, Yuhua Zhu:
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization. J. Mach. Learn. Res. 25: 214:1-214:51 (2024) - 2023
- [j11]Zhihui Li, Yiyi Si, Yuhua Zhu:
Research on grain-stored temperature prediction model based on improved SVR algorithm. J. Comput. Methods Sci. Eng. 23(3): 1547-1559 (2023) - [j10]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. J. Mach. Learn. Res. 24: 305:1-305:35 (2023) - [j9]Haipeng Yu, Guobin Chang, Shubi Zhang, Yuhua Zhu, Yajie Yu:
Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado. Remote. Sens. 15(19): 4870 (2023) - 2022
- [j8]Shi Jin, Yuhua Zhu, Enrique Zuazua:
The Vlasov-Fokker-Planck equation with high dimensional parametric forcing term. Numerische Mathematik 150(2): 479-519 (2022) - 2020
- [j7]Bian Gui, Yuhua Zhu, Tong Zhen:
Adaptive single image dehazing method based on support vector machine. J. Vis. Commun. Image Represent. 70: 102792 (2020) - 2019
- [j6]Yuhua Zhu:
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 14(4): 677-707 (2019) - [j5]Jihong Chen, Kai Xue, Jun Ye, Tiancun Huang, Yan Tian, Chengying Hua, Yuhua Zhu:
Simplified Neutrosophic Exponential Similarity Measures for Evaluation of Smart Port Development. Symmetry 11(4): 485 (2019) - 2018
- [j4]Fangwei Zhang, Jihong Chen, Yuhua Zhu, Ziyi Zhuang, Jiaru Li:
Generalized score functions on interval-valued intuitionistic fuzzy sets with preference parameters for different types of decision makers and their application. Appl. Intell. 48(11): 4084-4095 (2018) - [j3]Shi Jin, Yuhua Zhu:
Hypocoercivity and Uniform Regularity for the Vlasov-Poisson-Fokker-Planck System with Uncertainty and Multiple Scales. SIAM J. Math. Anal. 50(2): 1790-1816 (2018) - 2017
- [j2]Yuhua Zhu, Shi Jin:
The Vlasov-Poisson-Fokker-Planck System with Uncertainty and a One-dimensional Asymptotic Preserving Method. Multiscale Model. Simul. 15(4): 1502-1529 (2017) - [j1]Fangwei Zhang, Jihong Chen, Yuhua Zhu, Jiaru Li, Qiang Li, Ziyi Zhuang:
A Dual Hesitant Fuzzy Rough Pattern Recognition Approach Based on Deviation Theories and Its Application in Urban Traffic Modes Recognition. Symmetry 9(11): 262 (2017)
Conference and Workshop Papers
- 2023
- [c16]Lu Xiong, Fankai Zhou, Haoran Lv, Yuhua Zhu, Chen Tang:
Towards Vehicular Domain Controller: A Multi-agent Approach to Control Coordination Considering Actuator Dynamics. ITSC 2023: 4697-4702 - 2021
- [c15]Jing An, Lexing Ying, Yuhua Zhu:
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients. ICLR 2021 - [c14]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. MSML 2021: 1099-1136 - 2020
- [c13]Yuhua Zhu, Lexing Ying:
Borrowing From the Future: An Attempt to Address Double Sampling. MSML 2020: 246-268 - 2018
- [c12]Jing Zhang, Le Hui, Jianfeng Lu, Yuhua Zhu:
Attention-based Neural Network for Traffic Sign Detection. ICPR 2018: 1839-1844 - 2013
- [c11]Zhipeng Yuan, Xiaoqing Zeng, Tuo Shen, Yuhua Zhu:
A sustainable experiment platform for railway control system. ISADS 2013: 1-4 - 2009
- [c10]Tong Zhen, Yuhua Zhu, Qiuwen Zhang:
A Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem. ESIAT (2) 2009: 560-563 - [c9]Yuhua Zhu, Tong Zhen, Qiuwen Zhang:
Study of the Logistics Vehicle Scheduling Problem Based on Improved Ants Algorithm. ICNC (3) 2009: 71-74 - [c8]Yuhua Zhu, Xiuwen Liu, Washington Mio:
Image retrieval based on intrinsic spectral histogram representation. IJCNN 2009: 3559-3564 - [c7]Yuhua Zhu, Washington Mio, Xiuwen Liu:
Optimal dimension reduction for image retrieval with correlation metrics. IJCNN 2009: 3565-3570 - [c6]Tong Zhen, Zhi Ma, Yuhua Zhu, Qiuwen Zhang:
Grain Quality Evaluation Method Based on Combination of BP Neural Networks with D-S Evidence Theory. JCAI 2009: 312-315 - 2008
- [c5]Qiuwen Zhang, Tong Zhen, Yuhua Zhu, Wenshuai Zhang, Zhi Ma:
A Hybrid Intelligent Algorithm for the Vehicle Routing with Time Windows. ICIC (1) 2008: 47-54 - [c4]Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio:
Transductive optimal component analysis. ICPR 2008: 1-4 - 2007
- [c3]Yuhua Zhu, Xiuwen Liu, Washington Mio:
Content-Based Image Categorization and Retrieval using Neural Networks. ICME 2007: 528-531 - [c2]Washington Mio, Yuhua Zhu, Xiuwen Liu:
A learning approach to content-based image categorization and retrieval. VISAPP (2) 2007: 36-43 - [c1]Yuhua Zhu, Washington Mio, Xiuwen Liu:
Optimal Factor Analysis and Applications to Content-Based Image Retrieval. VISIGRAPP (Selected Papers) 2007: 164-176
Informal and Other Publications
- 2024
- [i16]Hui Wu, Yi Gan, Feng Yuan, Jing Ma, Wei Zhu, Yutao Xu, Hong Zhu, Yuhua Zhu, Xiaoli Liu, Jinghui Gu:
Efficient LLM inference solution on Intel GPU. CoRR abs/2401.05391 (2024) - [i15]José A. Carrillo, Shi Jin, Haoyu Zhang, Yuhua Zhu:
An interacting particle consensus method for constrained global optimization. CoRR abs/2405.00891 (2024) - [i14]Yuhua Zhu:
PhiBE: A PDE-based Bellman Equation for Continuous Time Policy Evaluation. CoRR abs/2405.12535 (2024) - [i13]Wenlong Mou, Yuhua Zhu:
On Bellman equations for continuous-time policy evaluation I: discretization and approximation. CoRR abs/2407.05966 (2024) - 2023
- [i12]José A. Carrillo, Nicolás García Trillos, Sixu Li, Yuhua Zhu:
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization. CoRR abs/2305.02894 (2023) - 2022
- [i11]Yuhua Zhu, Zach Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. CoRR abs/2210.07513 (2022) - 2021
- [i10]Yuhua Zhu, Lexing Ying:
Variational Actor-Critic Algorithms. CoRR abs/2108.01215 (2021) - [i9]Xun Tang, Lexing Ying, Yuhua Zhu:
Operator Augmentation for Model-based Policy Evaluation. CoRR abs/2110.12658 (2021) - [i8]Xiaowu Dai, Yuhua Zhu:
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective. CoRR abs/2112.00987 (2021) - 2020
- [i7]Yuhua Zhu, Lexing Ying:
A Sharp Convergence Rate for the Asynchronous Stochastic Gradient Descent. CoRR abs/2001.09126 (2020) - [i6]Yuhua Zhu, Zach Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. CoRR abs/2006.06173 (2020) - [i5]Jing An, Lexing Ying, Yuhua Zhu:
Why resampling outperforms reweighting for correcting sampling bias. CoRR abs/2009.13447 (2020) - 2019
- [i4]Pierre Degond, Shi Jin, Yuhua Zhu:
An Uncertainty Quantification Approach to the Study of Gene Expression Robustness. CoRR abs/1910.07188 (2019) - [i3]Shi Jin, Yuhua Zhu, Enrique Zuazua:
The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term. CoRR abs/1910.12141 (2019) - [i2]Yuhua Zhu, Lexing Ying:
Borrowing From the Future: An Attempt to Address Double Sampling. CoRR abs/1912.00304 (2019) - 2018
- [i1]Xiaowu Dai, Yuhua Zhu:
Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent. CoRR abs/1812.00542 (2018)
Coauthor Index
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