Junqing Yuan

According to our database, Junqing Yuan authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Confidence correction for trained graph convolutional networks.

Junqing Yuan, Huanlei Guo, Chenyi Zhou, Jiajun Ding, Zhenzhong Kuang, Zhou Yu, Yuan Liu

Pattern Recognit., 2024

2023

A multiobjective decomposition evolutionary algorithm with optimal history-based neighborhood adaptation and a dual-indicator selection strategy.

Wei Li, Junqing Yuan, Qiaoyong Jiang, Qingzheng Xu, Lei Wang

Clust. Comput., October, 2023

EGRA-NeRF: Edge-Guided Ray Allocation for Neural Radiance Fields.

Zhenbiao Gai, Zhenyang Liu, Min Tan, Jiajun Ding, Jun Yu, Mingzhao Tong, Junqing Yuan

Image Vis. Comput., June, 2023

An enhanced decomposition-based multiobjective evolutionary algorithm with adaptive neighborhood operator and extended distance-based environmental selection.

Wei Li, Junqing Yuan, Lei Wang

J. Supercomput., 2023

2021

Enhancing the competitive swarm optimizer with covariance matrix adaptation for large scale optimization.

Wei Li, Zhou Lei, Junqing Yuan, Haonan Luo, Qingzheng Xu

Appl. Intell., 2021

An Improved Cloud Particles Optimizer for Function Optimization.

Wei Li, Haonan Luo, Junqing Yuan, Zhou Lei, Lei Wang

Proceedings of the Neural Computing for Advanced Applications, 2021

Enhanced Velocity-Driven Particle Swarm Optimization for Evolving Artificial Neural Network.

Wei Li, Haonan Luo, Zhou Lei, Junqing Yuan, Wangshun Dong, Lei Wang

Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

2020

Enhanced Competitive Swarm Optimizer for Multi-task Optimization.

Wei Li, Junqing Yuan, Haonan Luo, Zhou Lei, Qingzheng Xu

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

Covariance Matrix Adaptation Evolutionary Algorithm for Multi-task Optimization.

Wei Li, Zhou Lei, Junqing Yuan, Haonan Luo, Qiaoyong Jiang, Jinbo Li

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

Clustering by Finding Average Density.

Wenkang Huang, Mengting Fan, Suhang Yang, Junqing Yuan, Xiongxiong He

Proceedings of the AIAM2020: 2nd International Conference on Artificial Intelligence and Advanced Manufacture, 2020

2018

Automatic clustering based on density peak detection using generalized extreme value distribution.

Jiajun Ding, Xiongxiong He, Junqing Yuan, Bo Jiang

Soft Comput., 2018