Weiqin Ying

Orcid: 0000-0001-9934-3836

According to our database1, Weiqin Ying authored at least 38 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024

FGFL: Fine-Grained Federated Learning Based on Neural Architecture Search for Heterogeneous Clients.
Proceedings of the Advances in Swarm Intelligence, 2024

Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation.
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.
Appl. Soft Comput., November, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

2022
Theoretical Analysis and Empirical Validation of the Conical Area Evolutionary Algorithm for Bi-Objective Optimization.
IEEE Trans. Evol. Comput., 2022

A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection methods for many-objective optimization.
Inf. Sci., 2022

A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization.
CoRR, 2022

A constraint cone decomposition evolutionary algorithm with dual populations.
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.
Proceedings of the Exploration of Novel Intelligent Optimization Algorithms, 2021

A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.
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.
Inf. Sci., 2020

U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization.
Complex., 2019

Neural Architecture Search Using Multi-objective Evolutionary Algorithm Based on Decomposition.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

A Collaborative Evolutionary Algorithm Based on Decomposition and Dominance for Many-Objective Knapsack Problems.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

2018
A Cone Decomposition Many-Objective Evolutionary Algorithm with Adaptive Direction Penalized Distance.
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.
Soft Comput., 2017

A Conical Area Differential Evolution with Dual Populations for Constrained Optimization.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Global Pareto Optimality of Cone Decomposition of Bi-Objective Optimization.
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.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
On size-constrained minimum s-t cut problems and size-constrained dense subgraph problems.
Theor. Comput. Sci., 2016

The Particle Swarm Differential Evolution Algorithm for Ecological Sensor Network Coverage Optimization.
J. Intell. Syst., 2016

A Partitioning Parallelization with Hybrid Migration of MOEA/D for Bi-Objective Optimization on Message-Passing Clusters.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A New Multi-objective Model for Constrained Optimisation.
Proceedings of the Advances in Computational Intelligence Systems, 2016

2015
An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Partitioned Parallelization of MOEA/D for Bi-objective Optimization on Clusters.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

2012
An Efficient Conical Area Evolutionary Algorithm for Bi-objective Optimization.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

Human Resource Management System Based on Factory Method Design Pattern.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

2010
An Improved Thermodynamics Evolutionary Algorithm Based on the Minimal Free Energy.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

A Global Inferior-Elimination Thermodynamics Selection Strategy for Evolutionary Algorithm.
Proceedings of the Advances in Neural Networks, 2010

2008
A GA-Based Approach to Optimizing Combinational Queries in SCDL.
Int. J. Semantic Comput., 2008

2007
Towards the Role of Heuristic Knowledge in EA.
Proceedings of the Advances in Computation and Intelligence, 2007

A Steep Thermodynamical Selection Rule for Evolutionary Algorithms.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Automated Design Approach for Analog Circuit Using Genetic Algorithm.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Theory of Evolutionary Algorithm: A View from Thermodynamics.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Towards a Less Destructive Crossover Operator Using Immunity Theory.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007


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