A resource allocation algorithm using compensation timeslot for self-healing in heterogeneous networks. - Yu Ma; Xiaodong Ji; Jiamo Jiang; Wenqian Xue (PIMRC Workshops, 2013)

A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks. - Yu Ma; Mugen Peng; Wenqian Xue; Xiaodong Ji (WCNC, 2013)

Base station density optimization for high energy efficiency in two-tier cellular networks. - Lei Li; Mugen Peng; Changqing Yang; Yong Wu; Wenqian Xue; Yong Li 001 (GLOBECOM, 2014)

Classification-based approach for cell outage detection in self-healing heterogeneous networks. - Wenqian Xue; Mugen Peng; Yu Ma; Hengzhi Zhang (WCNC, 2014)

Flotation process with model free adaptive control. - Wenqian Xue; Jialu Fan; Yi Jiang 007 (ICIA, 2017)

Machine Learning Based Channel Error Diagnostics in Wireless Sensor Networks. - Su Yi; Hao Wang; Jun Tian; Wenqian Xue; Leifei Wang; Xiaojing Fan; Ryuichi Matsukura (VTC Spring, 2017)

Interference Source Identification for IEEE 802.15.4 wireless Sensor Networks Using Deep Learning. - Su Yi; Hao Wang; Wenqian Xue; Xiaojing Fan; Lefei Wang; Jun Tian; Ryuichi Matsukura (PIMRC, 2018)

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales. - Wenqian Xue; Jialu Fan; Victor G. Lopez; Jinna Li; Yi Jiang 007; Tianyou Chai; Frank L. Lewis (IEEE Trans. Ind. Informatics, 2020)

Inverse Reinforcement Learning for Multi-player Apprentice Games in Continuous-Time Nonlinear Systems. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai; Ali Davoudi (CDC, 2021)

Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales. - Wenqian Xue; Jialu Fan; Victor G. Lopez; Yi Jiang 007; Tianyou Chai; Frank L. Lewis (IEEE Trans. Neural Networks Learn. Syst., 2021)

Inverse reinforcement learning for multi-player noncooperative apprentice games. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (Autom., 2022)

H∞-Based Minimal Energy Adaptive Control With Preset Convergence Rate. - Yi Jiang 007; Kai Zhang 004; Jin Wu 002; Chengxi Zhang; Wenqian Xue; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2022)

Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (IEEE Trans. Cybern., 2022)

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control. - Wenqian Xue; Patrik Kolaric; Jialu Fan; Bosen Lian; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2022)

Effective Fusion Method on Silhouette and Pose for Gait Recognition. - Yang Zhao; Rujie Liu; Wenqian Xue; Ming Yang; Masahiro Shiraishi; Shuji Awai; Yu Maruyama; Takahiro Yoshioka; Takeshi Konno (IEEE Access, 2023)

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games. - Wenqian Xue; Bosen Lian; Jialu Fan; Tianyou Chai; Frank L. Lewis (CoRR, 2023)

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems. - Wenqian Xue; Bosen Lian; Jialu Fan; Patrik Kolaric; Tianyou Chai; Frank L. Lewis (IEEE Trans. Neural Networks Learn. Syst., 2023)

Data-Driven H∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning. - Li Zhang; Jialu Fan; Wenqian Xue; Victor G. Lopez; Jinna Li; Tianyou Chai; Frank L. Lewis (IEEE Trans. Neural Networks Learn. Syst., 2023)

Inverse Reinforcement Learning for Adversarial Apprentice Games. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2023)

Off-policy inverse Q-learning for discrete-time antagonistic unknown systems. - Bosen Lian; Wenqian Xue; Yijing Xie; Frank L. Lewis; Ali Davoudi (Autom., 2023)

Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels. - Wenqian Xue; Chi Ding; José C. Príncipe (CoRR, 2024)

Inverse Q-Learning Using Input-Output Data. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Cybern., 2024)

Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control. - Wenqian Xue; Bosen Lian; Jialu Fan; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2024)

Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms. - Bosen Lian; Vrushabh S. Donge; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributed Dynamic Clustering and Consensus in Multiagent Systems. - Bosen Lian; Ahmet Taha Koru; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Autom. Control., 2024)

Distributed Nash Control of Multiplayer Multiagent Differential Games with Reinforcement Learning. - Bosen Lian; Yizhong Zhang; Wenqian Xue; Frank L. Lewis (ACC, 2025)

Fast DPCNs for Feature Extraction without Labels. - Wenqian Xue; Chi Ding; José C. Príncipe (ICASSP, 2025)

MUDSS-FER: Maximal Data Utilization for Facial Expression Recognition Using Semi-supervised Learning. - Wenqian Xue; Pengjiang Qian; Kaining Liu; Chuang Wang 011 (ICIC (20), 2025)

Robust Inverse Reinforcement Learning Control with Unknown States. - Bosen Lian; Wenqian Xue; Nhan Nguyen (L4DC, 2025)

Certified data-driven inverse reinforcement learning of Markov jump systems. - Wenqian Xue; Frank L. Lewis; Bosen Lian (Autom., 2025)

Data-Driven Optimization-Based Cost and Optimal Control Inference. - Jiacheng Wu; Wenqian Xue; Frank L. Lewis; Bosen Lian (IEEE Control. Syst. Lett., 2025)

Model-Free Inverse H-Infinity Control for Imitation Learning. - Wenqian Xue; Bosen Lian; Yusuf Kartal; Jialu Fan; Tianyou Chai; Frank L. Lewis (IEEE Trans Autom. Sci. Eng., 2025)

Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games With Reinforcement Learning. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Control. Netw. Syst., 2025)

Inverse Reinforcement Learning for Discrete-Time Systems With Data Dropouts. - Jialu Fan; Pengfei Shi; Wenqian Xue; Bosen Lian; Yunfang Cui; Frank L. Lewis (IEEE Trans. Cybern., 2025)

Inverse Value Iteration and Q-Learning: Algorithms, Stability, and Robustness. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Neural Networks Learn. Syst., 2025)