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Yu Wu 0013
Person information
- affiliation: Guangzhou University, School of Computer Science and Cyber Engineering, School of Computer Science and Educational Software, China
Other persons with the same name
- Yu Wu — disambiguation page
- Yu Wu 0001
— Chongqing University of Posts and Telecommunications, Institute of Computer Science and Technology, China
- Yu Wu 0002
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Yu Wu 0003
— University of California at Davis, Department of Electrical and Computer Engineering, CA, USA
- Yu Wu 0004
— University of Liverpool, Department of Electrical Engineering and Electronics, UK
- Yu Wu 0005
— The Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Yu Wu 0007
— University College London, Department of Electronic and Electrical Engineering, UK
- Yu Wu 0008
— University of Bourgogne Franche-Comté, FEMTO-ST Institute, CNRS, Belfort, France (and 1 more)
- Yu Wu 0009
— Chongqing University, College of Aerospace Engineering, Chongqing, China
- Yu Wu 0010 — Dongguan Univeristy of Technology, China (and 2 more)
- Yu Wu 0011
— Princeton University, NJ, USA (and 1 more)
- Yu Wu 0012
— Microsoft Research Asia, Beijing, China (and 1 more)
- Yu Wu 0014 — ShanghaiTech University, China
- Yu Wu 0015
— Beijing University of Technology, Faculty of Information Technology, State Key Laboratory of Advanced Power Transmission Technology, Beijing, China
- Yu Wu 0016
— Georgia Institute of Technology, Department of Electrical and Computer Engineering, Atlanta, GA, USA (and 1 more)
- Yu Wu 0017 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA
- Yu Wu 0018
— Shanghai Jiao Tong University, Department of Automation, Shanghai, China
- Yu Wu 0019
— Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, Guangdong, China
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2020 – today
- 2024
- [c14]Weiqin Ying, Chixin Wang, Yu Wu, Xuan Luo, Zhe Wen, Han Zhang:
FGFL: Fine-Grained Federated Learning Based on Neural Architecture Search for Heterogeneous Clients. ICSI 2024: 99-111 - [c13]Yu Wu, Hailong Fan, Weiqin Ying, Zekun Zhou, Qiaoqiao Zheng, Jiajian Zhang:
Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation. ICSI 2024: 112-123 - 2023
- [j9]Weiqin Ying, Qiaoqiao Zheng, Yu Wu, Kaihao Yang, Zekun Zhou, Jiajun Chen, Zilin Ye:
Efficient multi-objective evolutionary neural architecture search for U-Nets with diamond atrous convolution and Transformer for medical image segmentation. Appl. Soft Comput. 148: 110869 (2023) - 2022
- [j8]Yu Wu, Jianle Wei, Weiqin Ying, Yanqi Lan, Zhen Cui, Zhenyu Wang:
A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection methods for many-objective optimization. Inf. Sci. 616: 505-525 (2022) - [c12]Weiqin Ying, Yanqi Lan, Yu Wu, Xuanda Pan, Banban Huang, Jianyi Peng:
A constraint cone decomposition evolutionary algorithm with dual populations. GECCO Companion 2022: 375-378 - [i1]Yu Wu, Jianle Wei, Weiqin Ying, Yanqi Lan, Zhen Cui, Zhenyu Wang:
A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization. CoRR abs/2204.07176 (2022) - 2021
- [c11]Weiqin Ying, Kaihao Yang, Yu Wu, Junhui Li, Zhekun Zhou, Banban Huang:
Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution. ISICA 2021: 31-40 - [c10]Yu Wu, Jianle Wei, Weiqin Ying, Zhen Cui, Xuanda Pan, Zhenyu Wang:
A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization. ISICA 2021: 41-51 - 2020
- [j7]Weiqin Ying
, Junjie Huang, Yu Wu, Yali Deng, Yuehong Xie, Zhenyu Wang, Zhiyi Lin:
Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization. Inf. Sci. 531: 97-118 (2020) - [c9]Weiqin Ying, Junjie Huang, Yu Wu, Yali Deng, Yanqi Lan:
A Cone Decomposition Evolutionary Algorithm with Dominance-based Archive for Many-objective Optimization Problems with Irregular Fronts. CEC 2020: 1-7 - [c8]Weiqin Ying, Junhui Li, Yu Wu, Kaijie Zheng, Yali Deng, Jiachen Li:
U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j6]Weiqin Ying
, Bin Wu, Yu Wu, Yali Deng
, Hainan Huang, Zhenyu Wang:
Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization. Complex. 2019: 7125037:1-7125037:18 (2019) - [c7]Weiqin Ying, Kaijie Zheng, Yu Wu, Junhui Li, Xin Xu:
Neural Architecture Search Using Multi-objective Evolutionary Algorithm Based on Decomposition. ISICA 2019: 143-154 - [c6]Hainan Huang, Weiqin Ying, Yu Wu, Kaijie Zheng, Shaowu Peng:
A Collaborative Evolutionary Algorithm Based on Decomposition and Dominance for Many-Objective Knapsack Problems. ISICA 2019: 155-166 - 2018
- [c5]Weiqin Ying, Yali Deng, Yu Wu, Yuehong Xie, Zhenyu Wang, Zhiyi Lin:
A Cone Decomposition Many-Objective Evolutionary Algorithm with Adaptive Direction Penalized Distance. BIC-TA (1) 2018: 389-400 - 2017
- [j5]Weiqin Ying
, Yuehong Xie, Yu Wu, Bingshen Wu, Shiyun Chen, Weipeng He:
Universal partially evolved parallelization of MOEA/D for multi-objective optimization on message-passing clusters. Soft Comput. 21(18): 5399-5412 (2017) - [c4]Yu Wu, Pengfei Chao, Weiqin Ying
, Linlin He, Shiyun Chen:
A Conical Area Evolutionary Algorithm Based on Modularity Q for Community Detection from Signed Networks. CSE/EUC (1) 2017: 57-62 - [c3]Yu Wu, Bin Wu, Weiqin Ying
, Yuehong Xie, Weipeng He:
Global Pareto Optimality of Cone Decomposition of Bi-Objective Optimization. CSE/EUC (1) 2017: 309-314 - [c2]Bin Wu, Weiqin Ying, Yu Wu, Yuehong Xie, Zhenyu Wang:
A Conical Area Differential Evolution with Dual Populations for Constrained Optimization. ISICA (2) 2017: 52-64 - 2016
- [j4]Yu Wu, Yuehong Xie, Weiqin Ying
, Xing Xu, Zixing Liu:
A Partitioning Parallelization with Hybrid Migration of MOEA/D for Bi-Objective Optimization on Message-Passing Clusters. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(4): 843-848 (2016) - [j3]Xing Xu, Na Hu, Weiqin Ying
, Yu Wu, Yang Zhou:
The Particle Swarm Differential Evolution Algorithm for Ecological Sensor Network Coverage Optimization. J. Intell. Syst. 25(3): 335-350 (2016) - 2015
- [j2]Weiqin Ying
, Yuehong Xie, Xing Xu, Yu Wu, An Xu, Zhenyu Wang:
An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(11): 2330-2335 (2015) - [c1]Yuehong Xie, Weiqin Ying
, Yu Wu, Bingshen Wu, Shiyun Chen, Weipeng He:
Partitioned Parallelization of MOEA/D for Bi-objective Optimization on Clusters. ISICA 2015: 373-381 - 2012
- [j1]Weiqin Ying
, Xing Xu, Yuxiang Feng, Yu Wu:
An Efficient Conical Area Evolutionary Algorithm for Bi-objective Optimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(8): 1420-1425 (2012)
Coauthor Index
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