Kai Wu

Orcid: 0000-0002-1852-6364

Affiliations:
  • Xidian University, MOE, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China


According to our database1, Kai Wu authored at least 46 papers between 2016 and 2024.

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Bibliography

2024
Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set.
IEEE Trans. Fuzzy Syst., July, 2024

Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes.
IEEE Trans. Evol. Comput., February, 2024

Multivariate time series clustering based on fuzzy cognitive maps and community detection.
Neurocomputing, 2024

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions.
CoRR, 2024

Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.
IEEE Trans. Cybern., April, 2023

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.
IEEE Comput. Intell. Mag., February, 2023

Self-paced ARIMA for robust time series prediction.
Knowl. Based Syst., 2023

Cost-effective competition on social networks: A multi-objective optimization perspective.
Inf. Sci., 2023

Pre-trained transformer for adversarial purification.
CoRR, 2023

B2Opt: Learning to Optimize Black-box Optimization with Little Budget.
CoRR, 2023

LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy.
CoRR, 2023

Discover governing differential equations from evolving systems.
CoRR, 2023

2022
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection.
IEEE Trans. Evol. Comput., 2022

Evolutionary Multitasking Multilayer Network Reconstruction.
IEEE Trans. Cybern., 2022

Online Reconstruction of Complex Networks From Streaming Data.
IEEE Trans. Cybern., 2022

Learning large-scale fuzzy cognitive maps under limited resources.
Eng. Appl. Artif. Intell., 2022

Evolutionary Multitasking AUC Optimization.
CoRR, 2022

What Knowledge can be Transferred Between Network Reconstruction and Community Detection?
CoRR, 2022

Evolutionary Multitasking AUC Optimization [Research Frontier].
IEEE Comput. Intell. Mag., 2022

Broad fuzzy cognitive map systems for time series classification.
Appl. Soft Comput., 2022

2021
Online Fuzzy Cognitive Map Learning.
IEEE Trans. Fuzzy Syst., 2021

Multivariate Time Series Forecasting Based on Elastic Net and High-Order Fuzzy Cognitive Maps: A Case Study on Human Action Prediction Through EEG Signals.
IEEE Trans. Fuzzy Syst., 2021

An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure.
IEEE Trans. Evol. Comput., 2021

Evolutionary multitasking network reconstruction from time series with online parameter estimation.
Knowl. Based Syst., 2021

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.
Appl. Soft Comput., 2021

Pareto Optimization for Influence Maximization in Social Networks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2020

A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction.
IEEE Trans. Fuzzy Syst., 2020

Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps.
Knowl. Based Syst., 2020

Evolutionary multitasking fuzzy cognitive map learning.
Knowl. Based Syst., 2020

CNN-FCM: System modeling promotes stability of deep learning in time series prediction.
Knowl. Based Syst., 2020

Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets.
CoRR, 2020

Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Network reconstruction based on time series via memetic algorithm.
Knowl. Based Syst., 2019

Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Classification-based Optimization with Multi-Fidelity Evaluations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks.
IEEE Trans. Cybern., 2018

2017
Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks.
IEEE Trans. Fuzzy Syst., 2017

Wavelet fuzzy cognitive maps.
Neurocomputing, 2017

Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2016
Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series.
Knowl. Based Syst., 2016


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