Chao Wang

According to our database, Chao Wang authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

2024

Attribute community detection based on attribute edges weights fusion and graph embedding factorization.

Shuaize Yang, Weitong Zhang, Ronghua Shang, Songhua Xu, Chao Wang

Appl. Intell., November, 2024

Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification.

Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Mengru Ma, Shuyuan Yang

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Evol. Comput., February, 2024

Robust feature selection via central point link information and sparse latent representation.

Jiarui Kong, Ronghua Shang, Weitong Zhang, Chao Wang, Songhua Xu

Pattern Recognit., 2024

Automatic Graph Topology-Aware Transformer.

Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Fang Liu, Shuyuan Yang

CoRR, 2024

2023

What makes evolutionary multi-task optimization better: A comprehensive survey.

Hong Zhao, Xuhui Ning, Xiaotao Liu, Chao Wang, Jing Liu

Appl. Soft Comput., September, 2023

A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.

Chaolong Ying, Jing Liu, Kai Wu, Chao Wang

IEEE Trans. Cybern., April, 2023

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.

Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu

IEEE Comput. Intell. Mag., February, 2023

Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization.

Ronghua Shang, Weitong Zhang, Zhiyuan Li, Chao Wang, Licheng Jiao

Appl. Soft Comput., January, 2023

GeoFormer: A Geometric Representation Transformer for Change Detection.

Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction.

Ronghua Shang, Keyao Zhu, Jie Feng, Chao Wang, Licheng Jiao, Songhua Xu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Unsupervised feature selection via discrete spectral clustering and feature weights.

Ronghua Shang, Jiarui Kong, Lujuan Wang, Weitong Zhang, Chao Wang, Yangyang Li, Licheng Jiao

Neurocomputing, 2023

Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

CoRR, 2023

2022

Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection.

Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu

IEEE Trans. Evol. Comput., 2022

Evolutionary Multitasking Multilayer Network Reconstruction.

Kai Wu, Chao Wang, Jing Liu

IEEE Trans. Cybern., 2022

Evolutionary Multitasking AUC Optimization.

Chao Wang, Kai Wu, Jing Liu

CoRR, 2022

What Knowledge can be Transferred Between Network Reconstruction and Community Detection?

Kai Wu, Chao Wang, Junyuan Chen, Jing Liu

CoRR, 2022

Evolutionary Multitasking AUC Optimization [Research Frontier].

Chao Wang, Kai Wu, Jing Liu

IEEE Comput. Intell. Mag., 2022

2021

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.

Chao Wang, Jing Liu, Kai Wu, Chaolong Ying

Appl. Soft Comput., 2021

Pareto Optimization for Influence Maximization in Social Networks.

Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021