Robust Planning for Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations. - Xiaoshan Lin; Yasin Yazicioglu; Derya Aksaray (IEEE Robotics Autom. Lett., 2022)

Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows. - Xiaoshan Lin; Abbasali Koochakzadeh; Yasin Yazicioglu; Derya Aksaray (IROS, 2023)

A class-level matching unsupervised transfer learning network for rolling bearing fault diagnosis under various working conditions. - Chunran Huo; Quansheng Jiang; Yehu Shen; Xiaoshan Lin; Qixin Zhu; Qingkui Zhang (Appl. Soft Comput., 2023)

Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis. - Quansheng Jiang; Xiaoshan Lin; Xingchi Lu; Yehu Shen; Qixin Zhu; Qingkui Zhang (Knowl. Based Syst., 2024)

Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing. - Xingchi Lu; Quansheng Jiang; Yehu Shen; Xiaoshan Lin; Fengyu Xu 001; Qixin Zhu (Reliab. Eng. Syst. Saf., 2024)

Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints. - Xiaoshan Lin; Roberto Tron (AAMAS, 2025)

Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching. - Xiaoshan Lin; Sadik Bera Yüksel; Yasin Yazicioglu; Derya Aksaray (L4DC, 2025)

Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots. - Xiaoshan Lin; Siddharth Nayak; Stefano Di Cairano; Abraham P. Vinod (CoRR, 2025)