Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series. - Kai Wu 003; Jing Liu 006 (Knowl. Based Syst., 2016)

Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization. - Kai Wu 003; Jing Liu 006 (SEAL, 2017)

Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization. - Kai Wu 003; Jing Liu 006 (SEAL, 2017)

Wavelet fuzzy cognitive maps. - Kai Wu 003; Jing Liu 006; Yaxiong Chi (Neurocomputing, 2017)

Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks. - Kai Wu 003; Jing Liu 006 (IEEE Trans. Fuzzy Syst., 2017)

A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks. - Zhangtao Li; Jing Liu 006; Kai Wu 003 (IEEE Trans. Cybern., 2018)

Classification-based Optimization with Multi-Fidelity Evaluations. - Kai Wu 003; Jing Liu 006 (CEC, 2019)

Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm. - Ze Yang; Jing Liu 006; Kai Wu 003 (CEC, 2019)

Network reconstruction based on time series via memetic algorithm. - Kai Wu 003; Jing Liu 006; Dan Chen (Knowl. Based Syst., 2019)

Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble. - Kai Wu 003; Jing Liu 006 (SSCI, 2020)

Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. - Shanchao Yang; Jing Liu 006; Kai Wu 003; Mingming Li (CoRR, 2020)

CNN-FCM: System modeling promotes stability of deep learning in time series prediction. - Penghui Liu; Jing Liu 006; Kai Wu 003 (Knowl. Based Syst., 2020)

Evolutionary multitasking fuzzy cognitive map learning. - Fang Shen; Jing Liu 006; Kai Wu 003 (Knowl. Based Syst., 2020)

Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps. - Kaixin Yuan; Jing Liu 006; Shanchao Yang; Kai Wu 003; Fang Shen (Knowl. Based Syst., 2020)

A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction. - Fang Shen; Jing Liu 006; Kai Wu 003 (IEEE Trans. Fuzzy Syst., 2020)

Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps. - Kai Wu 003; Jing Liu 006; Penghui Liu; Shanchao Yang (IEEE Trans. Fuzzy Syst., 2020)

Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map. - Kai Wu 003; Xiangyi Teng; Jing Liu 006 (ChineseCSCW (2), 2021)

Pareto Optimization for Influence Maximization in Social Networks. - Kai Wu 003; Jing Liu 006; Chao Wang 099; Kaixin Yuan (EMO, 2021)

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm. - Chao Wang 099; Jing Liu 006; Kai Wu 003; Chaolong Ying (Appl. Soft Comput., 2021)

Evolutionary multitasking network reconstruction from time series with online parameter estimation. - Fang Shen; Jing Liu 006; Kai Wu 003 (Knowl. Based Syst., 2021)

An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure. - Kai Wu 003; Jing Liu 006; Xingxing Hao; Penghui Liu; Fang Shen (IEEE Trans. Evol. Comput., 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. - Fang Shen; Jing Liu 006; Kai Wu 003 (IEEE Trans. Fuzzy Syst., 2021)

Online Fuzzy Cognitive Map Learning. - Kai Wu 003; Jing Liu 006; Penghui Liu; Fang Shen (IEEE Trans. Fuzzy Syst., 2021)

Broad fuzzy cognitive map systems for time series classification. - Kai Wu 003; Kaixin Yuan; Yingzhi Teng; Jing Liu 006; Licheng Jiao (Appl. Soft Comput., 2022)

Evolutionary Multitasking AUC Optimization [Research Frontier]. - Chao Wang 099; Kai Wu 003; Jing Liu 006 (IEEE Comput. Intell. Mag., 2022)

What Knowledge can be Transferred Between Network Reconstruction and Community Detection? - Kai Wu 003; Chao Wang 099; Junyuan Chen; Jing Liu 006 (CoRR, 2022)

Evolutionary Multitasking AUC Optimization. - Chao Wang 099; Kai Wu 003; Jing Liu 006 (CoRR, 2022)

Learning large-scale fuzzy cognitive maps under limited resources. - Kai Wu 003; Jing Liu 006 (Eng. Appl. Artif. Intell., 2022)

Online Reconstruction of Complex Networks From Streaming Data. - Kai Wu 003; Xingxing Hao; Jing Liu 006; Penghui Liu; Fang Shen (IEEE Trans. Cybern., 2022)

Evolutionary Multitasking Multilayer Network Reconstruction. - Kai Wu 003; Chao Wang 099; Jing Liu 006 (IEEE Trans. Cybern., 2022)

Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection. - Chao Wang 099; Jing Liu 006; Kai Wu 003; Zhaoyang Wu (IEEE Trans. Evol. Comput., 2022)

Discover governing differential equations from evolving systems. - Yuanyuan Li; Kai Wu 003; Jing Liu 006 (CoRR, 2023)

LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy. - Kai Wu 003; Penghui Liu; Jing Liu 006 (CoRR, 2023)

B2Opt: Learning to Optimize Black-box Optimization with Little Budget. - Xiaobin Li; Kai Wu 003; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (CoRR, 2023)

Pre-trained transformer for adversarial purification. - Kai Wu 003; Yujian Betterest Li; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (CoRR, 2023)

Model-agnostic network inference enhancement from noisy measurements via curriculum learning. - Kai Wu 003; Yuanyuan Li; Jing Liu 006 (CoRR, 2023)

SPELL: Semantic Prompt Evolution based on a LLM. - Yujian Betterest Li; Kai Wu 003 (CoRR, 2023)

EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction. - Yujian Betterest Li; Kai Wu 003 (CoRR, 2023)

Cost-effective competition on social networks: A multi-objective optimization perspective. - Yilu Liu 002; Jing Liu 006; Kai Wu 003 (Inf. Sci., 2023)

Self-paced ARIMA for robust time series prediction. - Yitong Li; Kai Wu 003; Jing Liu 006 (Knowl. Based Syst., 2023)

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. - Chao Wang 099; Jiaxuan Zhao; Lingling Li 002; Licheng Jiao; Jing Liu 006; Kai Wu 003 (IEEE Comput. Intell. Mag., 2023)

A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis. - Chaolong Ying; Jing Liu 006; Kai Wu 003; Chao Wang 099 (IEEE Trans. Cybern., 2023)

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. - Lanlan Chen; Kai Wu 003; Jian Lou 001; Jing Liu 006 (AAAI, 2024)

Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. - Yudong Yang; Kai Wu 003; Xiangyi Teng; Handing Wang; He Yu; Jing Liu 006 (GECCO Companion, 2024)

Automated Loss function Search for Class-imbalanced Node Classification. - Xinyu Guo; Kai Wu 003; Xiaoyu Zhang 010; Jing Liu 006 (ICML, 2024)

Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions. - Haoyu Tong; Xiaoyu Zhang 010; Yulin Jin; Jian Lou 001; Kai Wu 003; Xiaofeng Chen 001 (ACM Multimedia, 2024)

Pretrained Optimization Model for Zero-Shot Black Box Optimization. - Xiaobin Li; Kai Wu 003; Yujian Betterest Li; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (NeurIPS, 2024)

Rapid Plug-in Defenders. - Kai Wu 003; Yujian Betterest Li; Jian Lou 001; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (NeurIPS, 2024)

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions. - Xiaobin Li; Kai Wu 003; Yujian Betterest Li; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (CoRR, 2024)

Silencer: Robust Community Detection by Silencing of Noisy Pixels. - Kai Wu 003; Ziang Xie; Jing Liu 006 (CoRR, 2024)

Multivariate time series clustering based on fuzzy cognitive maps and community detection. - Yingzhi Teng; Jing Liu 006; Kai Wu 003; Yang Liu 116; Baihao Qiao (Neurocomputing, 2024)

Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes. - Huixin Ma; Kai Wu 003; Handing Wang; Jing Liu 006 (IEEE Trans. Evol. Comput., 2024)

Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction. - Kaixin Yuan; Kai Wu 003; Jing Liu 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set. - Yingzhi Teng; Kai Wu 003; Jing Liu 006 (IEEE Trans. Fuzzy Syst., 2024)

Time Series Prediction Based on LSTM and High-Order Fuzzy Cognitive Map with Attention Mechanism. - Yingzhi Teng; Jing Liu 006; Kai Wu 003 (Neural Process. Lett., 2024)

Constructing High-Order Functional Connectivity Networks With Temporal Information From fMRI Data. - Yingzhi Teng; Kai Wu 003; Jing Liu 006; Yifan Li; Xiangyi Teng (IEEE Trans. Medical Imaging, 2024)

B2Opt: Learning to Optimize Black-box Optimization with Little Budget. - Xiaobin Li; Kai Wu 003; Xiaoyu Zhang 010; Handing Wang (AAAI, 2025)

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks. - Shibing Mo; Kai Wu 003; Qixuan Gao; Xiangyi Teng; Jing Liu 006 (AAAI, 2025)

Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm. - Tianyu Li; Kai Wu 003; Xiaobin Li; Xiangyi Teng; Jing Liu 006 (CEC, 2025)

TSGGuide: Recommendation Guide for Multivariate Time Series Generation. - Beining Zhang; Kai Wu 003; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006; Bei Wang; Kai Wang (WWW (Companion Volume), 2025)

DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking. - Xiaoyu Zhang 010; Chenyang Zhang; Jian Lou 001; Kai Wu 003; Zilong Wang 001; Xiaofeng Chen 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment. - Xiaoyu Zhang 010; Yulin Jin; Haoyu Tong; Jian Lou 001; Kai Wu 003; Xiaofeng Chen 001 (IEEE Trans. Multim., 2025)

Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation. - Wenxuan Wang; Kai Wu 003; Yujian Betterest Li; Dan Wang; Xiaoyu Zhang 010; Jing Liu 006 (CoRR, 2025)

A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks. - Shibing Mo; Xiangyi Teng; Kai Wu 003; Jing Liu 006; Kaixin Yuan (IEEE Trans. Knowl. Data Eng., 2025)