Xiaoshan Lin

According to our database, Xiaoshan Lin authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, January, 2025

Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching.

Xiaoshan Lin, Sadik Bera Yüksel, Yasin Yazicioglu, Derya Aksaray

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

Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints.

Xiaoshan Lin, Roberto Tron

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

FrFTormer: A Fractional Fourier Transform and Swin Transfomer-Based Neural Network for 3D MRI Brain Tumor Segmentation.

Zhuanghao Lin, Tingyue Chen, Xiaoshan Lin, Peitao Wang, Zexun Zhou

Proceedings of the Fuzzy Systems and Data Mining XI, 2025

An Anisotropic Regularized Skew Normal Mixture Model for 3D-MRI Brain Tissue Segmentation.

Tingyue Chen, Zhuanghao Lin, Xiaoshan Lin, Shuwei Qiu, Zexun Zhou

Proceedings of the Fuzzy Systems and Data Mining XI, 2025

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, Qixin Zhu

Reliab. Eng. Syst. Saf., 2024

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

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., October, 2023

Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows.

Xiaoshan Lin, Abbasali Koochakzadeh, Yasin Yazicioglu, Derya Aksaray

IROS, 2023

2022

Robust Planning for Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations.

Xiaoshan Lin, Yasin Yazicioglu, Derya Aksaray

IEEE Robotics Autom. Lett., 2022