孙奕菲｜陕西师范大学｜学者主页

2026

A multi-agent deep reinforcement learning driven adaptive construction and search algorithm for time-varying agile Earth observation satellite scheduling

Shi Cheng, Minzhe Zhang, Sicheng Hou, Yifei Sun, Hui Lu, Weian Guo

Expert Systems With Applications，Vol. 304

DOI

2026

Deep-insights guided evolutionary algorithm for optimization

Kun Bian, Juntao Zhang, Hong Han, Jun Zhou, Yifei Sun, Shi Cheng

Expert Systems With Applications，Vol. 298

DOI

2026

Multi-Objective Neural Architecture Search for Cognitive Diagnosis: Balancing Accuracy and Interpretability With Probabilistic Models

Yifei Sun, Mingkai Duan, Sicheng Hou, Shi Cheng, Maoguo Gong, Zhi‐Hui Zhan

IEEE Transactions on Computational Social Systems

DOI

2026

Difficulty-aware deisolated affinity propagation based collaborative learning via dynamic constrained multi-objective optimization

Yifei Sun, Ziang Wang, Yongan Li, Sicheng Hou, Xinqi Yang, Maoguo Gong, Alex Kai Qin

Expert Systems with Applications

DOI

2026

Solving Bilevel Multi-Robot Cooperative Path Planning Problems via a Memetic Framework

Zhixin Wang, Shi Cheng, Yifei Sun, Sicheng Hou, Mingming Zhang

Symmetry

DOI

2026

Multipopulation for Multiobjective-Based Ant Colony System for Berth Allocation Problem

Si-Cheng Wang, Yi Jiang, Yifei Sun, Sam Kwong, Jun Zhang, Zhi‐Hui Zhan

IEEE Transactions on Intelligent Transportation Systems

DOI

2025

TSCD: Temporal Similarity-aware Cognitive Diagnosis Model

Mingkai Duan, Yifei Sun, Sicheng Hou, Xinqi Yang, Yongan Li

DOI

2025

Multi-objective Logistics Transportation Optimization based on Multiple Transportation Modes via Evolutionary Algorithm

Sicheng Hou, Yifei Sun

DOI

2025

An Adaptive Dual-Score Coevolutionary Algorithm for Personalized Exercise Group Assembly

Yongan Li, Yifei Sun, Sicheng Hou, Shi Cheng, Ziang Wang, Mingkai Duan

DOI

2025

Graph neural networks adversarial attacks based on node gradient and importance score

Yifei Sun, Jiale Ju, Shi Cheng, Jie Yang, Yifei Cao, Ao Zhang, Wenya Shi

Information Sciences

DOI

2024

Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm

Yifei Sun, Yifei Cao, Ziang Wang, Sicheng Hou, Weifeng Gao, Zhi‐Hui Zhan

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method

Ziang Wang, Yifei Sun, Yifei Cao, Jie Yang, Wenya Shi, Ao Zhang, Jiale Ju, Jihui Yin, Qiaosen Yan, Xinqi Yang

Communications in computer and information science

DOI

2024

Agile Earth Observation Satellite Mission Planning Based on an Improved Brain Storm Optimization in Objective Space Algorithm

Hao Ran, Shi Cheng, Yifei Sun, Yuyuan Shan, Honglin Jin, Hui Lu

International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

DOI

2024

GCN-SA: a hybrid recommendation model based on graph convolutional network with embedding splicing layer

Yifei Sun, Ao Zhang, Shi Cheng, Yifei Cao, Jie Yang, Wenya Shi, Jiale Ju, Jihui Yin, Qiaosen Yan, Xinqi Yang, Ziang Wang

Neural Computing and Applications

DOI

2024

Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm

Yifei Sun, Zhuo Liu, Yaochu Jin, Xin Sun, Yifei Cao, Jie Yang

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm

Honglin Jin, Xueping Wang, Shi Cheng, Yifei Sun, Mingming Zhang, Hui Juan Lu, Husheng Wu, Yuhui Shi

Swarm and Evolutionary Computation

DOI

2024

An Adaptive Graph Neural Networks Based on Cost-sensitive Learning for Fraud Detection

Qiaosen Yan, Yifei Sun, Yifei Cao, Jie Yang, Ao Zhang, Jiale Ju, Wenya Shi, Xinqi Yang, Jihui Yin, Ziang Wang

International Symposium on Autonomous Systems (ISAS)

DOI

2024

Recurrent Neural Cognitive Diagnosis with Semantic Analysis and Self-attention

Yang Xinqi, Yifei Sun, Jie Yang, Yifei Cao, Ao Zhang, Wenya Shi, Jiale Ju, Qiaosen Yan, Jihui Yin, Ziang Wang

International Symposium on Autonomous Systems (ISAS)

DOI

2023

A many objective commercial recommendation algorithm via Game-Based core node extraction

Yifei Sun, Yifei Cao, Shi Cheng, Jie Yang, Wenya Shi, Ao Zhang, Jiale Ju

Egyptian Informatics Journal

DOI

2023

A Local Expansion and Community Merging Based Algorithm for Community Detection in Complex Networks

Jiale Ju, Yifei Sun, Zhuo Liu, Wenya Shi, Ao Zhang, Jie Wu Yang, Yifei Cao, Xin Sun

International Conference on Cyber-Physical Social Intelligence (ICCSI)

DOI

2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework

Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao

Computers in Biology and Medicine

DOI

2023

Dependent tasks offloading in mobile edge computing: A multi-objective evolutionary optimization strategy

Yanqi Gong, Kun Bian, Fei Hao, Yifei Sun, Yulei Wu

Future Generation Computer Systems

DOI

2023

Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism

Ao Zhang, Yifei Sun, Shi Cheng, Jie Yang, Xin Sun, Zhuo Liu, Yifei Cao, Jiale Ju, Wenya Shi

Communications in computer and information science

DOI

2023

An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection

Wenya Shi, Yifei Sun, Shi Cheng, Jie Wu Yang, Xin Sun, Zhuo Liu, Yifei Cao, Jiale Ju, Ao Zhang

Communications in computer and information science

DOI

2022

Core node knowledge based multi-objective particle swarm optimization for dynamic community detection

Yifei Sun, Xin Sun, Zhuo Liu, Yifei Cao, Jie Yang

Computers & Industrial Engineering

DOI

2022

Computing Signed Networks Structural Balance via Node Influenced Memetic Algorithm

Zhuo Liu, Yifei Sun, Xin Sun, Jie Yang, Yifei Cao

International Conference on Information Science and Technology

DOI

2022

Learning brain representation using recurrent Wasserstein generative adversarial net

Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao

Computer Methods and Programs in Biomedicine

DOI

2022

Rough maximal cliques enumeration in incomplete graphs based on partially-known concept learning

Fei Hao, Yifei Sun, Yaguang Lin

Neurocomputing

DOI

2022

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder

Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun

Neural Computing and Applications

DOI

2022

A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks

Zhuo Liu, Yifei Sun, Shi Cheng, Xin Sun, Kun Bian, Ruoxia Yao

Communications in computer and information science

DOI

2022

A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection

Jie Yang, Yifei Sun, Shi Cheng, Kun Bian, Zhuo Liu, Xin Sun, Yifei Cao

IFIP advances in information and communication technology

DOI

2022

Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies

Yifei Cao, Yifei Sun, Shi Cheng, Kun Bian, Zhuo Liu, Xin Sun, Jie Yang

IFIP advances in information and communication technology

DOI

2021

Joint Optimization of Latency and Reward for Offloading Dependent Tasks in Mobile Edge Computing

Yanqi Gong, Fei Hao, Yifei Sun, Longjiang Guo

International Conference on Ubiquitous Computing and Communications (IUCC)

DOI

2021

Adaptive Strategies Based on Differential Evolutionary Algorithm for Many-Objective Optimization

Yifei Sun, Kun Bian, Zhuo Liu, Xin Sun, Ruoxia Yao

Discrete Dynamics in Nature and Society

DOI

2021

Complementary Context-Enhanced Concept Lattice Aware Personalized Recommendation

Wenqing Huang, Fei Hao, Guangyao Pang, Yifei Sun

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2021

Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder

Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Cheng Zhang, Wei Zhang, Jie Gao, Tianming Liu

Journal of Neural Engineering

DOI

2021

Particle Swarm Optimization Algorithm with Multiple Phases for Solving Continuous Optimization Problems

Jing Li, Yifei Sun, Sicheng Hou

Discrete Dynamics in Nature and Society

DOI

2021

Adaptive Methods of Differential Evolution Multi-objective Optimization Algorithm Based on Decomposition

Kun Bian, Yifei Sun, Shi Cheng, Zhuo Liu, Xin Sun

Communications in computer and information science

DOI

2021

Population Learning Based Memetic Algorithm for Community Detection in Complex Networks

Xin Sun, Yifei Sun, Shi Cheng, Kun Bian, Zhuo Liu

Communications in computer and information science

DOI

2020

Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem

Zhaojun Zhang, Zhaoxiong Xu, Shengyang Luan, Xuanyu Li, Yifei Sun

Mathematics

DOI

2020

Deep Variational Autoencoder for Mapping Functional Brain Networks

Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu

IEEE Transactions on Cognitive and Developmental Systems

DOI

2020

Modeling task-based fMRI data via deep belief network with neural architecture search

Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu

Computerized Medical Imaging and Graphics

DOI

2020

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification

Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2018

数据驱动的发展式头脑风暴优化算法综述

程适，陈俊风，孙奕菲，史玉回

《郑州大学学报(工学版)》

2018

Detecting (k,r)-Clique Communities from Social Networks

Fei Hao, Liang Wang, Yifei Sun, Doo-Soon Park

Lecture notes in electrical engineering

DOI

2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data

Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu

Frontiers in Neuroinformatics

DOI

2018

Simplex Search-Based Brain Storm Optimization

Wei Chen, Yingying Cao, Shi Cheng, Yifei Sun, Qunfeng Liu, Yun Li

IEEE Access

DOI

2017

基于Memetic算法和关联学习的社会网络聚类分析

孙奕菲，姚若侠，焦李成

《复杂系统与复杂性科学》

2017

A comprehensive survey of brain storm optimization algorithms

Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei, Yuhui Shi

IEEE Congress on Evolutionary Computation (CEC)

DOI

2017

Dynamic network structured immune particle swarm optimisation with small-world topology

Yifei Sun, Licheng Jiao, Xiaozheng Deng, Rongfang Wang

International Journal of Bio-Inspired Computation

DOI

2017

Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm

Shi Cheng, Lantian Guo, Tao Yang, Jiqiang Feng, Yifei Sun, Chang Shao, Qiqi Duan

Communications in computer and information science

DOI

2017

A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals

Yingying Cao, Wei Chen, Shi Cheng, Yifei Sun, Qunfeng Liu, Yun Li, Yuhui Shi

Lecture notes in computer science

DOI

2017

A High-Dimensional Particle Swarm Optimization Based on Similarity Measurement

Jiqiang Feng, Guixiang Lai, Shi Cheng, Feng Zhang, Yifei Sun

Lecture notes in computer science

DOI

2016

A Collaborative Learning Model in Teaching-Learning-Based Optimization: Some Numerical Results

Bei Dong, Xiaojun Wu, Yifei Sun

Communications in computer and information science

DOI

2015

基于视觉显著性的分块自适应压缩感知算法

王蓉芳，陈佳伟，焦李成，孙奕菲

《华中科技大学学报(自然科学版)》

2014

基于小世界网络模型和免疫克隆优化的智能计算方法以及应用

孙奕菲

《西安电子科技大学》

2013

基于和谐管理理论的免疫信息网络优化算法

孙奕菲，焦李成，公茂果，吴建设

《控制与决策》

2010

一种社会网络搜索免疫优化算法

孙奕菲，焦李成

《西安电子科技大学学报》

精选作品

期刊论文

A multi-agent deep reinforcement learning driven adaptive construction and search algorithm for time-varying agile Earth observation satellite scheduling

Deep-insights guided evolutionary algorithm for optimization

Multi-Objective Neural Architecture Search for Cognitive Diagnosis: Balancing Accuracy and Interpretability With Probabilistic Models

Difficulty-aware deisolated affinity propagation based collaborative learning via dynamic constrained multi-objective optimization

Solving Bilevel Multi-Robot Cooperative Path Planning Problems via a Memetic Framework

Multipopulation for Multiobjective-Based Ant Colony System for Berth Allocation Problem

TSCD: Temporal Similarity-aware Cognitive Diagnosis Model

Multi-objective Logistics Transportation Optimization based on Multiple Transportation Modes via Evolutionary Algorithm

An Adaptive Dual-Score Coevolutionary Algorithm for Personalized Exercise Group Assembly

Graph neural networks adversarial attacks based on node gradient and importance score

Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm

Adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method

Agile Earth Observation Satellite Mission Planning Based on an Improved Brain Storm Optimization in Objective Space Algorithm

GCN-SA: a hybrid recommendation model based on graph convolutional network with embedding splicing layer

Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm

Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm

An Adaptive Graph Neural Networks Based on Cost-sensitive Learning for Fraud Detection

Recurrent Neural Cognitive Diagnosis with Semantic Analysis and Self-attention

A many objective commercial recommendation algorithm via Game-Based core node extraction

A Local Expansion and Community Merging Based Algorithm for Community Detection in Complex Networks

Functional brain network identification and fMRI augmentation using a VAE-GAN framework

Dependent tasks offloading in mobile edge computing: A multi-objective evolutionary optimization strategy

Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism

An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection

Core node knowledge based multi-objective particle swarm optimization for dynamic community detection

Computing Signed Networks Structural Balance via Node Influenced Memetic Algorithm

Learning brain representation using recurrent Wasserstein generative adversarial net

Rough maximal cliques enumeration in incomplete graphs based on partially-known concept learning

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder

A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks

A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection

Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies

Joint Optimization of Latency and Reward for Offloading Dependent Tasks in Mobile Edge Computing

Adaptive Strategies Based on Differential Evolutionary Algorithm for Many-Objective Optimization

Complementary Context-Enhanced Concept Lattice Aware Personalized Recommendation

Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder

Particle Swarm Optimization Algorithm with Multiple Phases for Solving Continuous Optimization Problems

Adaptive Methods of Differential Evolution Multi-objective Optimization Algorithm Based on Decomposition

Population Learning Based Memetic Algorithm for Community Detection in Complex Networks

Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem

Deep Variational Autoencoder for Mapping Functional Brain Networks

Modeling task-based fMRI data via deep belief network with neural architecture search

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification

数据驱动的发展式头脑风暴优化算法综述

Detecting (k,r)-Clique Communities from Social Networks

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data

Simplex Search-Based Brain Storm Optimization

基于Memetic算法和关联学习的社会网络聚类分析

A comprehensive survey of brain storm optimization algorithms

Dynamic network structured immune particle swarm optimisation with small-world topology

Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm

A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals

A High-Dimensional Particle Swarm Optimization Based on Similarity Measurement

A Collaborative Learning Model in Teaching-Learning-Based Optimization: Some Numerical Results

基于视觉显著性的分块自适应压缩感知算法

基于小世界网络模型和免疫克隆优化的智能计算方法以及应用

基于和谐管理理论的免疫信息网络优化算法

一种社会网络搜索免疫优化算法