Wenqian Xue

Orcid: 0000-0002-3670-3854

According to our database¹, Wenqian Xue authored at least 35 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Inverse Value Iteration and Q-Learning: Algorithms, Stability, and Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Inverse Reinforcement Learning for Discrete-Time Systems With Data Dropouts.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., April, 2025

Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games With Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., March, 2025

Model-Free Inverse H-Infinity Control for Imitation Learning.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

Data-Driven Optimization-Based Cost and Optimal Control Inference.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2025

Certified data-driven inverse reinforcement learning of Markov jump systems.

[BibT_eX]

[DOI]

Wenqian Xue

Frank L. Lewis

Bosen Lian

Autom., 2025

Robust Inverse Reinforcement Learning Control with Unknown States.

[BibT_eX]

[DOI]

Bosen Lian

Wenqian Xue

Nhan Nguyen

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

MUDSS-FER: Maximal Data Utilization for Facial Expression Recognition Using Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Fast DPCNs for Feature Extraction without Labels.

[BibT_eX]

[DOI]

Wenqian Xue

Chi Ding

José C. Príncipe

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Distributed Nash Control of Multiplayer Multiagent Differential Games with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2025 American Control Conference, 2025

2024

Distributed Dynamic Clustering and Consensus in Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2024

Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2024

Inverse Q-Learning Using Input-Output Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., February, 2024

Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels.

[BibT_eX]

[DOI]

Wenqian Xue

Chi Ding

José C. Príncipe

CoRR, 2024

2023

Off-policy inverse Q-learning for discrete-time antagonistic unknown systems.

[BibT_eX]

[DOI]

Autom., September, 2023

Inverse Reinforcement Learning for Adversarial Apprentice Games.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Data-Driven H<sub>∞</sub> Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2023

Effective Fusion Method on Silhouette and Pose for Gait Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

H<sub>∞</sub>-Based Minimal Energy Adaptive Control With Preset Convergence Rate.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Inverse reinforcement learning for multi-player noncooperative apprentice games.

[BibT_eX]

[DOI]

Autom., 2022

2021

Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Inverse Reinforcement Learning for Multi-player Apprentice Games in Continuous-Time Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2020

2018

Interference Source Identification for IEEE 802.15.4 wireless Sensor Networks Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017

Machine Learning Based Channel Error Diagnostics in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Flotation process with model free adaptive control.

[BibT_eX]

[DOI]

Wenqian Xue

Jialu Fan

Yi Jiang

Proceedings of the IEEE International Conference on Information and Automation, 2017

2014

Classification-based approach for cell outage detection in self-healing heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Base station density optimization for high energy efficiency in two-tier cellular networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2014

2013

A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

A resource allocation algorithm using compensation timeslot for self-healing in heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Symposium on Personal, 2013

Wenqian Xue

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