Kai Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Knowledge Transfer

Evolutionary Algorithm

Optimization Strategy

Top Venues

Knowl. Based Syst.

IEEE Trans. Fuzzy Syst.

IEEE Trans. Cybern.

Publications

Kaixin Yuan, Kai Wu, Jing Liu
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Huixin Ma, Kai Wu, Handing Wang, Jing Liu
Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes. IEEE Trans. Evol. Comput. 28 (1) (2024)
Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. CoRR (2024)
Yingzhi Teng, Kai Wu, Jing Liu
Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Chaolong Ying, Jing Liu, Kai Wu, Chao Wang
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis. IEEE Trans. Cybern. 53 (4) (2023)
Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. IEEE Comput. Intell. Mag. 18 (1) (2023)
Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu
B2Opt: Learning to Optimize Black-box Optimization with Little Budget. CoRR (2023)
Yuanyuan Li, Kai Wu, Jing Liu
Discover governing differential equations from evolving systems. CoRR (2023)
Kai Wu, Penghui Liu, Jing Liu
LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy. CoRR (2023)
Yitong Li, Kai Wu, Jing Liu
Self-paced ARIMA for robust time series prediction. Knowl. Based Syst. 269 (2023)
Kai Wu, Chao Wang, Jing Liu
Evolutionary Multitasking Multilayer Network Reconstruction. IEEE Trans. Cybern. 52 (12) (2022)
Huixin Ma, Kai Wu, Handing Wang, Jing Liu
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes. CoRR (2022)
Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao
Broad fuzzy cognitive map systems for time series classification. Appl. Soft Comput. 128 (2022)
Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. CoRR (2022)
Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection. IEEE Trans. Evol. Comput. 26 (2) (2022)
Kai Wu, Jing Liu
Learning large-scale fuzzy cognitive maps under limited resources. Eng. Appl. Artif. Intell. 116 (2022)
Kai Wu, Xingxing Hao, Jing Liu, Penghui Liu, Fang Shen
Online Reconstruction of Complex Networks From Streaming Data. IEEE Trans. Cybern. 52 (6) (2022)
Chao Wang, Jing Liu, Kai Wu, Chaolong Ying
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm. Appl. Soft Comput. 108 (2021)
Kai Wu, Jing Liu, Penghui Liu, Fang Shen
Online Fuzzy Cognitive Map Learning. IEEE Trans. Fuzzy Syst. 29 (7) (2021)
Kai Wu, Jing Liu, Xingxing Hao, Penghui Liu, Fang Shen
An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure. IEEE Trans. Evol. Comput. 25 (2) (2021)
Fang Shen, Jing Liu, Kai Wu
Evolutionary multitasking network reconstruction from time series with online parameter estimation. Knowl. Based Syst. 222 (2021)
Fang Shen, Jing Liu, Kai Wu
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. 29 (8) (2021)
Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan
Pareto Optimization for Influence Maximization in Social Networks. EMO (2021)
Fang Shen, Jing Liu, Kai Wu
Evolutionary multitasking fuzzy cognitive map learning. Knowl. Based Syst. 192 (2020)
Shanchao Yang, Jing Liu, Kai Wu, Mingming Li
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. CoRR (2020)
Kai Wu, Jing Liu
Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble. SSCI (2020)
Kai Wu, Jing Liu, Penghui Liu, Shanchao Yang
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
Penghui Liu, Jing Liu, Kai Wu
CNN-FCM: System modeling promotes stability of deep learning in time series prediction. Knowl. Based Syst. 203 (2020)
Fang Shen, Jing Liu, Kai Wu
A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction. IEEE Trans. Fuzzy Syst. 28 (6) (2020)
Kaixin Yuan, Jing Liu, Shanchao Yang, Kai Wu, Fang Shen
Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps. Knowl. Based Syst. 206 (2020)
Kai Wu, Jing Liu, Dan Chen
Network reconstruction based on time series via memetic algorithm. Knowl. Based Syst. 164 (2019)
Ze Yang, Jing Liu, Kai Wu
Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm. CEC (2019)
Kai Wu, Jing Liu
Classification-based Optimization with Multi-Fidelity Evaluations. CEC (2019)
Zhangtao Li, Jing Liu, Kai Wu
A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks. IEEE Trans. Cybern. 48 (7) (2018)
Kai Wu, Jing Liu
Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization. SEAL (2017)
Kai Wu, Jing Liu
Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization. SEAL (2017)
Kai Wu, Jing Liu
Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks. IEEE Trans. Fuzzy Syst. 25 (6) (2017)
Kai Wu, Jing Liu, Yaxiong Chi
Wavelet fuzzy cognitive maps. Neurocomputing 232 (2017)
Kai Wu, Jing Liu
Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series. Knowl. Based Syst. 113 (2016)