王超｜西安电子科技大学｜学者主页

2026

逻辑链构建下基于深度强化学习的多智能体协同算法优化

张杰，朱峰，王超，李东，陈志群，吕天启

《系统工程与电子技术》

2025

Network collaborator: Knowledge transfer between network reconstruction and community detection

Tao Ma, Chao Wang, Kai Wu, Junyuan Chen, Jing Liu

Neurocomputing

DOI

2025

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

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

Research

DOI

2025

S 3 Diffuser: Frequency selected state space guided diffusion model for multimodal fusion classification

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

Information Fusion

DOI

2024

Knowledge-aware evolutionary graph neural architecture search

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

Knowledge-Based Systems

DOI

2024

Automatic Graph Topology-Aware Transformer

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

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 Transactions on Circuits and Systems for Video Technology

DOI

2023

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

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

Applied Soft Computing

DOI

2023

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 Transactions on Evolutionary Computation

DOI

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 Computational Intelligence Magazine

DOI

2023

GeoFormer: A Geometric Representation Transformer for Change Detection

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

IEEE Transactions on Geoscience and Remote Sensing

DOI

2022

Evolutionary Multitasking AUC Optimization [Research Frontier]

Chao Wang, Kai Fa Wu, Jing Liu

IEEE Computational Intelligence Magazine

DOI

2021

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 Transactions on Cybernetics

DOI

2021

Evolutionary Multitasking Multilayer Network Reconstruction

Kai Wu, Chao Wang, Jing Liu

IEEE Transactions on Cybernetics

DOI

2021

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

Chao Wang, Jing Liu, Kai Wu, Chaolong Ying

Applied Soft Computing

DOI

2021

Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection

Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu

IEEE Transactions on Evolutionary Computation

DOI

2021

Pareto Optimization for Influence Maximization in Social Networks

Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan

Lecture notes in computer science

DOI

王超

精选作品

期刊论文

逻辑链构建下基于深度强化学习的多智能体协同算法优化

Network collaborator: Knowledge transfer between network reconstruction and community detection

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

S 3 Diffuser: Frequency selected state space guided diffusion model for multimodal fusion classification

Knowledge-aware evolutionary graph neural architecture search

Automatic Graph Topology-Aware Transformer

Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification

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

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

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

GeoFormer: A Geometric Representation Transformer for Change Detection

Evolutionary Multitasking AUC Optimization [Research Frontier]

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

Evolutionary Multitasking Multilayer Network Reconstruction

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

Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection

Pareto Optimization for Influence Maximization in Social Networks

研究方向