(* Corresponding Author)

1. Yujian Betterest Li, Kai Wu, "SPELL: Semantic Prompt Evolution based on a LLM," Arixv, 2023.
2. Kai Wu, Chao Wang*, Jing Liu, "Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection," Neurocomputing, Under Second Review, 2024. (code)
3. Kai Wu, Yujian Betterest Li*, Xiaoyu Zhang, Handing Wang, Jing Liu, "Pre-trained transformer for adversarial purification", CVPR 2024, submitted, 2023.
4. Kai Wu, Yuanyuan Li, Jing Liu, "Model-agnostic network inference enhancement from noisy measurements via curriculum learning", PRL, Submitted, 2023. (Code)
5. Xiaobin Li, Kai Wu*, Xiaoyu Zhang, Handing Wang, Jing Liu, "B2Opt: Beyond Transformer for Black-box Optimization," IEEE TEVC, Under Third Review, 2024.
6. Yingzhi Teng, Kai Wu*, Jing Liu, Yifan Li, "Constructing High-order Functional Connectivity Networks with Temporal Information from fMRI Data," IEEE TMI, Under Second Review, 2023.
7. Kai Wu*, Xiaobin Li, Penghui Liu, Jing Liu, "Optimization with Minimial Budget," ICML 2024, submitted, 2023.
8. Ziang Xie, Kai Wu*, Jian Lou, Hongyang Chen, Jing Liu, "Silencer: Robust Community Detection by Silencing of Noisy Pixels," IEEE TNNLS, submitted, 2023.
9. Shanchao Yang, Jing Liu, Kai Wu, and Mingming Li, "Learn to generate time series conditioned graphs with generative adversarial nets," arXiv preprint arXiv:2003.01436, 2020.
10. Yingzhi Teng, Jing Liu, Kai Wu, Kaixin Yuan, "Time Series Prediction based on LSTM and High-Order Fuzzy Cognitive Map with Attention Mechanism," SOCO, submitted, 2022.

• 2024

1. Yingzhi Teng, Jing Liu, Kai Wu, Yang Liu, Baihao Qiao "Multivariate Time Series Clustering based on Fuzzy Cognitive Maps and Community Detection," Neurocomputing, accepted, 2024. (中科院SCI二区) 

2. Yingzhi Teng, Kai Wu*, Jing Liu, "Causal Discovery from Abundant but Noisy Fuzzy Cognitive Map Set," IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3386823, 2024. (中科院SCI一区).  (code)

• 2023

1. Yuanyuan Li, Kai Wu*, Jing Liu, "Discover governing differential equations from evolving systems," Physical Review Research, vol. 5, 023126, 2023. (arxiv)

2. Huixin Ma, Kai Wu*, Handing Wang, Jing Liu, "Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes," IEEE Transactions on Evolutionary Computation, vol. 28, no. 1, pp. 90-104, 2024. (中科院SCI一区). (arxiv) (News) (code)

3. Yitong Li, Kai Wu*, Jing Liu, "Self-paced ARIMA for Robust Time Series Prediction," Knowledge-Based Systems, vol. 269, pp. 110489, 2023. (中科院SCI一区)

4. Yilu Liu, Jing Liu, Kai Wu, "Cost-Effective Competition on Social Networks via Pareto Optimization," Information Sciences, vol. 620, pp. 31-46, 2023. (中科院SCI一区) (code)

5. Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu, "A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks," IEEE Computational Intelligence Magazine, vol. 18, no. 1, pp. 52-67, 2023. (中科院SCI一区) (code)

6. 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 Transactions on Cybernetics, vol. 53, no. 4, pp. 2137-2510, 2023. (中科院SCI一区). (code)

• 2022

1. Kaixin Yuan, Kai Wu*, Jing Liu, "Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 4, pp. 4985-4998, 2024. (中科院SCI一区) (code)

2. Kai Wu, Jing Liu*, "Learning large-scale fuzzy cognitive maps under limited resources," Engineering Applications of Artificial Intelligence, vol. 116, 105376, 2022. (中科院SCI二区) (code)

3. Kai Wu, Kaixin Yuan*, Yingzhi Teng, Jing Liu, Licheng Jiao, "Broad fuzzy cognitive map systems for time series classification," Applied Soft Computing, vol. 128, 109458, 2022. (中科院SCI一区) (code)

4. Chao Wang, Kai Wu*, Jing Liu, "Evolutionary multitasking AUC optimization [Research Frontier]," IEEE Computational Intelligence Magazine, vol. 17, no. 2, pp. 67-82, 2022. (中科院SCI一区). (code) (arxiv) (Supplementary Materials)

5. Kai Wu, Chao Wang*, Jing Liu, "Evolutionary multitasking multi-layer network reconstruction," IEEE Transactions on Cybernetics, vol. 52, no. 12, pp. 12854-12868, 2022. (中科院SCI一区).  (code)

6. 吴凯, 王超, 刘静*, 流数据驱动的非线性动力学网络重构 (Multi-layer nonlinear dynamical network reconstruction from streaming data), 中国科学: 技术科学, vol. 52, no. 6, pp. 971-982, 2022. (中文顶级期刊). (code)

7. Kai Wu, Xingxing Hao*, Jing Liu, Penghui Liu, Fang Shen, "Online reconstruction of complex networks from streaming data," IEEE Transactions on Cybernetics, vol. 52, no. 6, pp. 5136-5147, 2022.  (中科院SCI一区). (code)

8. Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu, "Solving multi-task optimization problems with adaptive knowledge transfer via anomaly detection," IEEE Transactions on Evolutionary Computation, vol. 26, no. 2, pp. 304-318, 2022. (中科院SCI一区). (code)

9. 李怡桐, 刘晓涛, 刘静, 吴凯, 基于加权局部复杂不变性的时间序列分类算法, 系统仿真学报, DOI: 10.16182/j.issn1004731x.joss.21-0456, 2022, In Press.

• 2021

1. Kai Wu, Jing Liu*, Xingxing Hao, Penghui Liu, Fang Shen, "An evolutionary multi-objective framework for complex network reconstruction using community structure," IEEE Transactions on Evolutionary Computation, vol. 25, no. 2, pp. 247-261, 2021. (中科院SCI一区). (code)

2. Kai Wu, Jing Liu*, Penghui Liu, Fang Shen, "Online fuzzy cognitive map learning," IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1885-1898, 2021. (中科院SCI一区). (code)

3. Chao Wang, Jing Liu, Kai Wu, Chaolong Ying, "Learning large-scale fuzzy cognitive maps using an evolutionary many task algorithm," Applied Soft Computing, vol. 108, 107441, 2021. (中科院SCI一区). (code)

4. Fang Shen, Jing Liu, Kai Wu, "Evolutionary Multitasking Network Reconstruction from Time Series with Online Parameter Estimation," Knowledge-based Systems, vol. 222, 107019, 2021. (中科院SCI一区).

5. 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 Transactions on Fuzzy Systems, vol. 29, no. 8, 2336-2348, 2021. (中科院SCI一区).

• 2016-2020

1. Kai Wu, Jing Liu*, Penghui Liu, Shanchao Yang, "Time series prediction using sparse autoencoder and high-order fuzzy cognitive maps," IEEE Transactions on Fuzzy Systems, vol. 28, no. 12, pp. 3110-3121, 2020. (中科院SCI一区). (code)

2. Kai Wu, Jing Liu*, Dan Chen, "Network reconstruction based on time series via memetic algorithm," Knowledge-Based Systems, vol. 164, pp. 404-425, 2019. (中科院SCI一区).

3. Kai Wu, Jing Liu*, "Learning large-scale fuzzy cognitive maps based on compressed sensing and application in reconstructing gene regulatory networks," IEEE Transactions on Fuzzy Systems, vol. 25, no. 6, pp. 1546-1560, 2017. (中科院SCI一区).

4. Kai Wu, Jing Liu*, Yaxiong Chi, "Wavelet fuzzy cognitive maps," Neurocomputing, vol. 232, pp. 94-103, 2017. (中科院SCI二区).

5. Kai Wu, Jing Liu*, Shuai Wang, "Reconstructing networks from profit sequences in evolutionary games via a multiobjective optimization approach with lasso initialization," Scientific Reports, vol. 6, pp. 37771, 2016.(中科院SCI二区).

6. Kai Wu, Jing Liu*, "Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series," Knowledge-Based Systems, vol. 113, pp. 23-38, 2016. (中科院SCI一区).

7. Kaixin Yuan, Jing Liu, Shanchao Yang, Kai Wu, Fang Shen, "Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps," Knowledge-based Systems, vol. 206, 106359, 2020. (中科院SCI一区). (code)

8. Fang Shen, Jing Liu, Kai Wu, "A preference-based evolutionary bi-objective approach for learning large-scale fuzzy cognitive maps: An application to gene regulatory network reconstruction," IEEE Transactions on Fuzzy Systems, vol. 28, no. 6, pp. 1035-1049, 2020. (中科院SCI一区).

9. Penghui Liu, Jing Liu, Kai Wu, "CNN-FCM: system modeling promotes stability of deep learning in time series prediction," Knowledge-based Systems, vol. 203, 106081, 2020. (中科院SCI一区).

10. Fang Shen, Jing Liu, Kai Wu, "Evolutionary multitasking fuzzy cognitive map learning," Knowledge-Based Systems, vol. 192, pp. 105294, 2020. (中科院SCI一区).

11. Zhangtao Li, Jing Liu, Kai Wu, "A multiobjective evolutionary algorithm based on structural and attribute similarities for community detection in attributed networks," IEEE Transactions on Cybernetics, vol. 48, no. 7, pp. 1963-1976, 2018. (中科院SCI一区).

1. Xinyu Guo, Kai Wu*, Xiaoyu Zhang, Jing Liu, "Automated Loss function Search for Class-imbalanced Node Classification", ICML 2024, accept, 2024. (CCF A)

2. Yudong Yang, Kai Wu*, Xiangyi Teng, Handing Wang, He Yu, Jing Liu, "Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective" GECCO 2024, accept, 2024.  (CCF C)

3. Lanlan Chen, Kai Wu*, Jian Lou, Jing Liu, "Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics" AAAI 2024, accept, 2024. (code) (CCF A)

4. 吴凯, 滕祥意, 刘静. 基于模糊认知图的进化博弈中的隐藏源定位研究 (Locating hidden sources in evolutionary games based on fuzzy cognitive map), ChineseCSCW 2021, vol. 1492, 2022. https://doi.org/10.1007/978-981-19-4549-6_8. (Chinese Version)

5. Kai Wu, Jing Liu*, Chao Wang, and Kaixin Yuan, "Pareto optimization for influence maximization in social networks," EMO2021, pp. 697-707, Shenzhen, China, 2021. (code)

6. Kai Wu, Jing Liu*, "Multi-objective evolutionary top rank optimization with Pareto ensemble," Proceedings of 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI2020), Canberra, Australia, 2020, pp. 624-630.

7. Kai Wu, Jing Liu*, "Classification-based optimization with multi-fidelity evaluations," Proceedings of IEEE Congress on Evolutionary Computation 2019 (IEEE CEC2019), Wellington, New Zealand, 2019, pp. 1126-1131.

8. Ze Yang, Jing Liu, Kai Wu, "Learning of boosting fuzzy cognitive maps using a real-coded genetic algorithm," Proceedings of IEEE Congress on Evolutionary Computation 2019 (IEEE CEC2019), Wellington, New Zealand, 2019, PP. 490-498.

9. Kai Wu, Jing Liu*, "Evolutionary game network reconstruction by memetic algorithm with l1/2 regularization," 2017 Asia-Pacific Conference on Simulated Evolution and Learning, Shenzhen, China, 2017, pp. 385-396.

10. Kai Wu, Jing Liu*, "Learning of sparse fuzzy cognitive maps using evolutionary algorithm with lasso initialization," 2017 Asia-Pacific Conference on Simulated Evolution and Learning, Shenzhen, China, 2017, pp. 966-973.

1. 吴凯; 谢子昂; 刘静 ; 一种鲁棒社区发现方法、系统、介质、设备及终端, 2022-02-28, 中国, 2022 10193117.0
2. 张肖瑜; 金育霖; 吴凯; 陈晨洋; 林燊 ; 即插即用预训练模型后门去除系统、方法、设备及介质, 2022-3-6, 中国, 202210216214.7

1.  吴凯. 复杂系统智能建模算法及其应用研究[D]. 西安电子科技大学, 2020. DOI:10.27389/d.cnki.gxadu.2020.000160.