Yu Wu

According to our database, Yu Wu authored at least 24 papers between 2012 and 2024.

Collaborative distances:

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

2024

FGFL: Fine-Grained Federated Learning Based on Neural Architecture Search for Heterogeneous Clients.

Weiqin Ying, Chixin Wang, Yu Wu, Xuan Luo, Zhe Wen, Han Zhang

Proceedings of the Advances in Swarm Intelligence, 2024

Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation.

Yu Wu, Hailong Fan, Weiqin Ying, Zekun Zhou, Qiaoqiao Zheng, Jiajian Zhang

Proceedings of the Advances in Swarm Intelligence, 2024

2023

Efficient multi-objective evolutionary neural architecture search for U-Nets with diamond atrous convolution and Transformer for medical image segmentation.

Weiqin Ying, Qiaoqiao Zheng, Yu Wu, Kaihao Yang, Zekun Zhou, Jiajun Chen, Zilin Ye

Appl. Soft Comput., November, 2023

2022

A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection methods for many-objective optimization.

Yu Wu, Jianle Wei, Weiqin Ying, Yanqi Lan, Zhen Cui, Zhenyu Wang

Inf. Sci., 2022

A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization.

Yu Wu, Jianle Wei, Weiqin Ying, Yanqi Lan, Zhen Cui, Zhenyu Wang

CoRR, 2022

A constraint cone decomposition evolutionary algorithm with dual populations.

Weiqin Ying, Yanqi Lan, Yu Wu, Xuanda Pan, Banban Huang, Jianyi Peng

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution.

Weiqin Ying, Kaihao Yang, Yu Wu, Junhui Li, Zhekun Zhou, Banban Huang

Proceedings of the Exploration of Novel Intelligent Optimization Algorithms, 2021

A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.

Yu Wu, Jianle Wei, Weiqin Ying, Zhen Cui, Xuanda Pan, Zhenyu Wang

Proceedings of the Exploration of Novel Intelligent Optimization Algorithms, 2021

2020

Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization.

Weiqin Ying, Junjie Huang, Yu Wu, Yali Deng, Yuehong Xie, Zhenyu Wang, Zhiyi Lin

Inf. Sci., 2020

U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections.

Weiqin Ying, Junhui Li, Yu Wu, Kaijie Zheng, Yali Deng, Jiachen Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Cone Decomposition Evolutionary Algorithm with Dominance-based Archive for Many-objective Optimization Problems with Irregular Fronts.

Weiqin Ying, Junjie Huang, Yu Wu, Yali Deng, Yanqi Lan

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization.

Weiqin Ying, Bin Wu, Yu Wu, Yali Deng, Hainan Huang, Zhenyu Wang

Complex., 2019

Neural Architecture Search Using Multi-objective Evolutionary Algorithm Based on Decomposition.

Weiqin Ying, Kaijie Zheng, Yu Wu, Junhui Li, Xin Xu

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

A Collaborative Evolutionary Algorithm Based on Decomposition and Dominance for Many-Objective Knapsack Problems.

Hainan Huang, Weiqin Ying, Yu Wu, Kaijie Zheng, Shaowu Peng

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

2018

A Cone Decomposition Many-Objective Evolutionary Algorithm with Adaptive Direction Penalized Distance.

Weiqin Ying, Yali Deng, Yu Wu, Yuehong Xie, Zhenyu Wang, Zhiyi Lin

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017

Universal partially evolved parallelization of MOEA/D for multi-objective optimization on message-passing clusters.

Weiqin Ying, Yuehong Xie, Yu Wu, Bingshen Wu, Shiyun Chen, Weipeng He

Soft Comput., 2017

A Conical Area Differential Evolution with Dual Populations for Constrained Optimization.

Bin Wu, Weiqin Ying, Yu Wu, Yuehong Xie, Zhenyu Wang

Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Global Pareto Optimality of Cone Decomposition of Bi-Objective Optimization.

Yu Wu, Bin Wu, Weiqin Ying, Yuehong Xie, Weipeng He

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

A Conical Area Evolutionary Algorithm Based on Modularity Q for Community Detection from Signed Networks.

Yu Wu, Pengfei Chao, Weiqin Ying, Linlin He, Shiyun Chen

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

The Particle Swarm Differential Evolution Algorithm for Ecological Sensor Network Coverage Optimization.

Xing Xu, Na Hu, Weiqin Ying, Yu Wu, Yang Zhou

J. Intell. Syst., 2016

A Partitioning Parallelization with Hybrid Migration of MOEA/D for Bi-Objective Optimization on Message-Passing Clusters.

Yu Wu, Yuehong Xie, Weiqin Ying, Xing Xu, Zixing Liu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

2015

An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space.

Weiqin Ying, Yuehong Xie, Xing Xu, Yu Wu, An Xu, Zhenyu Wang

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Partitioned Parallelization of MOEA/D for Bi-objective Optimization on Clusters.

Yuehong Xie, Weiqin Ying, Yu Wu, Bingshen Wu, Shiyun Chen, Weipeng He

Proceedings of the Computational Intelligence and Intelligent Systems, 2015

2012

An Efficient Conical Area Evolutionary Algorithm for Bi-objective Optimization.

Weiqin Ying, Xing Xu, Yuxiang Feng, Yu Wu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012