Fuzzy-Model-Based Leader-Follower Consensus of Nonlinear Multi-Agent Systems with Input Saturation. - Xiaolu Liu; Duxin Chen; Yan-Wu Wang; Huaicheng Yan 001 (ICARCV, 2018)

Semi-global Leaderless Consensus of Circular Motion with Input Saturation. - Bowen Xu; Haofei Meng; Duxin Chen; Hai-Tao Zhang (ICIRA (1), 2018)

Finite-time Consensus of Leader-following Multi-agent Systems with Input Saturation and Disturbance. - Xiaolu Liu; Duxin Chen; Tian Lu; Wenwu Yu (ICCA, 2020)

Prediction of COVID-19 spread by sliding mSEIR observer. - Duxin Chen; Yifan Yang; Yifan Zhang; Wenwu Yu (Sci. China Inf. Sci., 2020)

Effects of Measurement Noise on Flocking Dynamics of Cucker-Smale Systems. - Duxin Chen; Wang Li; Xiaolu Liu; Wenwu Yu; Yongzheng Sun (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems. - Duxin Chen; Xiaolu Liu; Wenwu Yu (IEEE Trans. Netw. Sci. Eng., 2020)

Distributed fixed step-size algorithm for dynamic economic dispatch with power flow limits. - Kun Wang 013; Zao Fu; Qian Xu; Duxin Chen; Lei Wang 005; Wenwu Yu (Sci. China Inf. Sci., 2021)

Rotational Flocking with Spontaneous Directional Changes. - Xiaolu Liu; Guanbo Shao; Yudong Tang; Duxin Chen (Complex., 2021)

Neural-Network Based Adaptive Self-Triggered Consensus of Nonlinear Multi-Agent Systems With Sensor Saturation. - Duxin Chen; Xiaolu Liu; Wenwu Yu; Lei Zhu; Qipeng Tang (IEEE Trans. Netw. Sci. Eng., 2021)

Identifying Unique Causal Network from Nonstationary Time Series. - Mingyu Kang; Duxin Chen; Ning Meng; Gang Yan; Wenwu Yu (CoRR, 2022)

Event-triggered adaptive fuzzy fault-tolerant control for autonomous underwater vehicles with prescribed tracking performance. - Yuanbo Su; Hongjing Liang; Yingnan Pan; Duxin Chen (Int. J. Syst. Sci., 2022)

Distributed Q-Learning Algorithm for Dynamic Resource Allocation With Unknown Objective Functions and Application to Microgrid. - Pengcheng Dai; Wenwu Yu; Duxin Chen (IEEE Trans. Cybern., 2022)

Ridesourcing Behavior Analysis and Prediction: A Network Perspective. - Duxin Chen; Qi Shao; Zhiyuan Liu 002; Wenwu Yu; C. L. Philip Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation. - Bowen Xu; Hai-Tao Zhang; Haofei Meng; Binbin Hu; Duxin Chen; Guanrong Chen (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Interpretable System Identification and Long-term Prediction on Time-Series Data. - Xiaoyi Liu; Duxin Chen; Wenjia Wei; Xia Zhu; Wenwu Yu (CoRR, 2023)

CDSTTN: A Data Imputation Method for Cyber-Physical Systems by Causal Dense Spatial-Temporal Transformer Network. - Chenmeng Qiu; Yuzhi Li; Mingyu Kang; Duxin Chen; Wenwu Yu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction. - Xiaoyi Liu; Duxin Chen; Wenjia Wei; Xia Zhu; Wenwu Yu (ICLR, 2024)

Systems science in the new era: intelligent systems and big data. - Wenwu Yu; Duxin Chen; Hongzhe Liu 002; He Wang 006; Jinde Cao; Zengru Di; Xiaojun Duan; Bin Jia; Xiaodong Ding; Yiguang Hong (Sci. China Inf. Sci., 2024)

Spatio-Temporal Graphical Counterfactuals: An Overview. - Mingyu Kang; Duxin Chen; Ziyuan Pu; Jianxi Gao; Wenwu Yu (CoRR, 2024)

MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction. - Shuang Li 016; Ziyuan Pu; Nan Zhang; Duxin Chen; Lu Dong; Daniel J. Graham; Yinhai Wang (CoRR, 2024)

NHCE: A Neural High-Order Causal Entropy Algorithm for Disentangling Coupling Dynamics. - Yanyan He; Mingyu Kang; Duxin Chen; Wenwu Yu (IEEE Trans. Netw. Sci. Eng., 2024)

A Unique Framework of Heterogeneous Augmentation Graph Contrastive Learning for Both Node and Graph Classification. - Qi Shao; Duxin Chen; Wenwu Yu (IEEE Trans. Netw. Sci. Eng., 2024)

CM-GAN: A Cross-Modal Generative Adversarial Network for Imputing Completely Missing Data in Digital Industry. - Mingyu Kang; Ran Zhu; Duxin Chen; Xiaolu Liu; Wenwu Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Long-Term Prediction on Graph Data With Causal Network Construction. - Xiaolu Liu; Qi Shao; Duxin Chen (IEEE Trans. Artif. Intell., 2024)

The robustness of differentiable Causal Discovery in misspecified Scenarios. - Huiyang Yi; Yanyan He; Duxin Chen; Mingyu Kang; He Wang 006; Wenwu Yu (ICLR, 2025)

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs. - Jiawen Chen; Qi Shao; Duxin Chen; Wenwu Yu (KDD (2), 2025)

Privacy Distributed Constrained Optimization Over Time-Varying Unbalanced Networks and Its Application in Federated Learning. - Mengli Wei; Wenwu Yu; Duxin Chen; Mingyu Kang; Guang Cheng 001 (IEEE CAA J. Autom. Sinica, 2025)

AccDFL: Accelerated Decentralized Federated Learning for Healthcare IoT Networks. - Mengli Wei; Wenwu Yu; Duxin Chen (IEEE Internet Things J., 2025)

System Identification With Fourier Transformation for Long-Term Time Series Forecasting. - Xiaoyi Liu; Duxin Chen; Wenjia Wei; Xia Zhu; Hao Shi 002; Wenwu Yu (IEEE Trans. Big Data, 2025)

Critical Nodes Identification in Complex Networks: A Survey. - Duxin Chen; Jiawen Chen; Xiaoyu Zhang; Qinghan Jia; Xiaolu Liu; Ye Sun; Linyuan Lv; Wenwu Yu (CoRR, 2025)

NetEventCause: Event-Driven Root Cause Analysis for Large Network System Without Topology. - Zhaolin Yuan; Long Ma; Wenjia Wei; Xia Zhu; Mingjie Sun; Duxin Chen; Xiaojuan Ban (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Residual Learning of a Probabilistic' Partial Least Squares Model for Predictive Data Analytics. - Zhiqiang Ge; Duxin Chen; Wenwu Yu (IEEE Trans. Artif. Intell., 2025)