Kai Wu

78 papers A* 11B 3C 1Journal 57Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Scale feature embedding framework using grouped and parametric convolutions for efficient time series imputation.
Knowl. Based Syst.
Ruochen Liu, Mingxin Teng, Junwei Ma, Kai Wu
2026 A* conf
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability.
AAAI
Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai Wu, Haibo Hu, Xiaofeng Chen
2026 A* conf
Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention.
AAAI
Shibing Mo, Haoyang Ruan, Kai Wu, Jing Liu
2025 J jnl
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng.
Shibing Mo, Xiangyi Teng, Kai Wu, Jing Liu, Kaixin Yuan
2025 A* conf
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks.
AAAI
Shibing Mo, Kai Wu, Qixuan Gao, Xiangyi Teng, Jing Liu
2025 A* conf
B2Opt: Learning to Optimize Black-box Optimization with Little Budget.
AAAI
Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang
2025 J jnl
DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking.
IEEE Trans. Dependable Secur. Comput.
Xiaoyu Zhang, Chenyang Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen
2025 B conf
Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm.
CEC
Tianyu Li, Kai Wu, Xiaobin Li, Xiangyi Teng, Jing Liu
2025 J jnl
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation.
CoRR
Wenxuan Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang, Jing Liu
2025 J jnl
Network collaborator: Knowledge transfer between network reconstruction and community detection.
Neurocomputing
Tao Ma, Chao Wang, Kai Wu, Junyuan Chen, Jing Liu
2025 A* conf
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models.
ICML
Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen
2025 A* conf
PreferCare: Preference Dataset Copyright Protection in LLM Alignment by Watermark Injection and Verification.
CCS
Jian Lou, Chenyang Zhang, Xiaoyu Zhang, Kai Wu
2025 J jnl
Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment.
IEEE Trans. Multim.
Xiaoyu Zhang, Yulin Jin, Haoyu Tong, Jian Lou, Kai Wu, Xiaofeng Chen
2025 J jnl
Synthetic Series-Symbol Data Generation for Time Series Foundation Models.
CoRR
Wenxuan Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang
2025 — conf
TSGGuide: Recommendation Guide for Multivariate Time Series Generation.
WWW (Companion Volume)
Beining Zhang, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu, Bei Wang, Kai Wang
2025 J jnl
Textual Self-attention Network: Test-Time Preference Optimization through Textual Gradient-based Attention.
CoRR
Shibing Mo, Haoyang Ruan, Kai Wu, Jing Liu
2024 J jnl
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks.
CoRR
Shibing Mo, Kai Wu, Qixuan Gao, Xiangyi Teng, Jing Liu
2024 A* conf
Automated Loss function Search for Class-imbalanced Node Classification.
ICML
Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu
2024 J jnl
Automated Loss function Search for Class-imbalanced Node Classification.
CoRR
Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu
2024 A* conf
Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions.
ACM Multimedia
Haoyu Tong, Xiaoyu Zhang, Yulin Jin, Jian Lou, Kai Wu, Xiaofeng Chen
2024 J jnl
Causal Discovery From Abundant but Noisy Fuzzy Cognitive Map Set.
IEEE Trans. Fuzzy Syst.
Yingzhi Teng, Kai Wu, Jing Liu
2024 J jnl
Constructing High-Order Functional Connectivity Networks With Temporal Information From fMRI Data.
IEEE Trans. Medical Imaging
Yingzhi Teng, Kai Wu, Jing Liu, Yifan Li, Xiangyi Teng
2024 — conf
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective.
GECCO Companion
Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu
2024 J jnl
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective.
CoRR
Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu
2024 J jnl
GLHF: General Learned Evolutionary Algorithm Via Hyper Functions.
CoRR
Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu
2024 J jnl
Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes.
IEEE Trans. Evol. Comput.
Huixin Ma, Kai Wu, Handing Wang, Jing Liu
2024 J jnl
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Kaixin Yuan, Kai Wu, Jing Liu
2024 J jnl
Multivariate time series clustering based on fuzzy cognitive maps and community detection.
Neurocomputing
Yingzhi Teng, Jing Liu, Kai Wu, Yang Liu, Baihao Qiao
2024 A* conf
Pretrained Optimization Model for Zero-Shot Black Box Optimization.
NeurIPS
Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu
2024 A* conf
Rapid Plug-in Defenders.
NeurIPS
Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu
2024 A* conf
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics.
AAAI
Lanlan Chen, Kai Wu, Jian Lou, Jing Liu
2024 J jnl
Silencer: Robust Community Detection by Silencing of Noisy Pixels.
CoRR
Kai Wu, Ziang Xie, Jing Liu
2024 J jnl
Time Series Prediction Based on LSTM and High-Order Fuzzy Cognitive Map with Attention Mechanism.
Neural Process. Lett.
Yingzhi Teng, Jing Liu, Kai Wu
2023 J jnl
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.
IEEE Comput. Intell. Mag.
Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu
2023 J jnl
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.
IEEE Trans. Cybern.
Chaolong Ying, Jing Liu, Kai Wu, Chao Wang
2023 J jnl
B2Opt: Learning to Optimize Black-box Optimization with Little Budget.
CoRR
Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu
2023 J jnl
Cost-effective competition on social networks: A multi-objective optimization perspective.
Inf. Sci.
Yilu Liu, Jing Liu, Kai Wu
2023 J jnl
Discover governing differential equations from evolving systems.
CoRR
YuanYuan Li, Kai Wu, Jing Liu
2023 J jnl
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction.
CoRR
Yujian Betterest Li, Kai Wu
2023 J jnl
LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy.
CoRR
Kai Wu, Penghui Liu, Jing Liu
2023 J jnl
Model-agnostic network inference enhancement from noisy measurements via curriculum learning.
CoRR
Kai Wu, YuanYuan Li, Jing Liu
2023 J jnl
Pre-trained transformer for adversarial purification.
CoRR
Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu
2023 J jnl
SPELL: Semantic Prompt Evolution based on a LLM.
CoRR
Yujian Betterest Li, Kai Wu
2023 J jnl
Self-paced ARIMA for robust time series prediction.
Knowl. Based Syst.
Yitong Li, Kai Wu, Jing Liu
2023 J jnl
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics.
CoRR
Lanlan Chen, Kai Wu, Jian Lou, Jing Liu
2022 J jnl
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.
CoRR
Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu
2022 J jnl
Broad fuzzy cognitive map systems for time series classification.
Appl. Soft Comput.
Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao
2022 J jnl
Evolutionary Multitasking AUC Optimization [Research Frontier].
IEEE Comput. Intell. Mag.
Chao Wang, Kai Wu, Jing Liu
2022 J jnl
Evolutionary Multitasking AUC Optimization.
CoRR
Chao Wang, Kai Wu, Jing Liu
2022 J jnl
Evolutionary Multitasking Multilayer Network Reconstruction.
IEEE Trans. Cybern.
Kai Wu, Chao Wang, Jing Liu
2022 J jnl
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes.
CoRR
Huixin Ma, Kai Wu, Handing Wang, Jing Liu
2022 J jnl
Learning large-scale fuzzy cognitive maps under limited resources.
Eng. Appl. Artif. Intell.
Kai Wu, Jing Liu
2022 J jnl
Online Reconstruction of Complex Networks From Streaming Data.
IEEE Trans. Cybern.
Kai Wu, Xingxing Hao, Jing Liu, Penghui Liu, Fang Shen
2022 J jnl
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection.
IEEE Trans. Evol. Comput.
Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu
2022 J jnl
What Knowledge can be Transferred Between Network Reconstruction and Community Detection?
CoRR
Kai Wu, Chao Wang, Junyuan Chen, Jing Liu
2021 J jnl
An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure.
IEEE Trans. Evol. Comput.
Kai Wu, Jing Liu, Xingxing Hao, Penghui Liu, Fang Shen
2021 J jnl
Evolutionary multitasking network reconstruction from time series with online parameter estimation.
Knowl. Based Syst.
Fang Shen, Jing Liu, Kai Wu
2021 J jnl
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.
Appl. Soft Comput.
Chao Wang, Jing Liu, Kai Wu, Chaolong Ying
2021 — conf
Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map.
ChineseCSCW (2)
Kai Wu, Xiangyi Teng, Jing Liu
2021 J jnl
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.
Fang Shen, Jing Liu, Kai Wu
2021 J jnl
Online Fuzzy Cognitive Map Learning.
IEEE Trans. Fuzzy Syst.
Kai Wu, Jing Liu, Penghui Liu, Fang Shen
2021 C conf
Pareto Optimization for Influence Maximization in Social Networks.
EMO
Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan
2020 J jnl
A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction.
IEEE Trans. Fuzzy Syst.
Fang Shen, Jing Liu, Kai Wu
2020 J jnl
CNN-FCM: System modeling promotes stability of deep learning in time series prediction.
Knowl. Based Syst.
Penghui Liu, Jing Liu, Kai Wu
2020 J jnl
Evolutionary multitasking fuzzy cognitive map learning.
Knowl. Based Syst.
Fang Shen, Jing Liu, Kai Wu
2020 J jnl
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets.
CoRR
Shanchao Yang, Jing Liu, Kai Wu, Mingming Li
2020 — conf
Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble.
SSCI
Kai Wu, Jing Liu
2020 J jnl
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst.
Kai Wu, Jing Liu, Penghui Liu, Shanchao Yang
2020 J jnl
Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps.
Knowl. Based Syst.
Kaixin Yuan, Jing Liu, Shanchao Yang, Kai Wu, Fang Shen
2019 B conf
Classification-based Optimization with Multi-Fidelity Evaluations.
CEC
Kai Wu, Jing Liu
2019 B conf
Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm.
CEC
Ze Yang, Jing Liu, Kai Wu
2019 J jnl
Network reconstruction based on time series via memetic algorithm.
Knowl. Based Syst.
Kai Wu, Jing Liu, Dan Chen
2018 J jnl
A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks.
IEEE Trans. Cybern.
Zhangtao Li, Jing Liu, Kai Wu
2017 — conf
Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization.
SEAL
Kai Wu, Jing Liu
2017 J jnl
Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks.
IEEE Trans. Fuzzy Syst.
Kai Wu, Jing Liu
2017 — conf
Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization.
SEAL
Kai Wu, Jing Liu
2017 J jnl
Wavelet fuzzy cognitive maps.
Neurocomputing
Kai Wu, Jing Liu, Yaxiong Chi
2016 J jnl
Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series.
Knowl. Based Syst.
Kai Wu, Jing Liu