Xiaoshan Lin

13 papers A 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints. AAMAS Xiaoshan Lin, Roberto Tron
2025	J	`jnl`	Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints. CoRR Xiaoshan Lin, Roberto Tron
2025	—	`conf`	An Anisotropic Regularized Skew Normal Mixture Model for 3D-MRI Brain Tissue Segmentation. FSDM Tingyue Chen, Zhuanghao Lin, Xiaoshan Lin, Shuwei Qiu, Zexun Zhou
2025	J	`jnl`	Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots. CoRR Xiaoshan Lin, Siddharth Nayak, Stefano Di Cairano, Abraham P. Vinod
2025	—	`conf`	FrFTormer: A Fractional Fourier Transform and Swin Transfomer-Based Neural Network for 3D MRI Brain Tumor Segmentation. FSDM Zhuanghao Lin, Tingyue Chen, Xiaoshan Lin, Peitao Wang, Zexun Zhou
2025	—	`conf`	Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching. L4DC Xiaoshan Lin, Sadik Bera Yüksel, Yasin Yazicioglu, Derya Aksaray
2024	J	`jnl`	Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing. Reliab. Eng. Syst. Saf. Xingchi Lu, Quansheng Jiang, Yehu Shen, Xiaoshan Lin, Fengyu Xu, Qixin Zhu
2024	J	`jnl`	Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching. CoRR Xiaoshan Lin, Sadik Bera Yüksel, Yasin Yazicioglu, Derya Aksaray
2024	J	`jnl`	Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis. Knowl. Based Syst. Quansheng Jiang, Xiaoshan Lin, Xingchi Lu, Yehu Shen, Qixin Zhu, Qingkui Zhang
2023	J	`jnl`	A class-level matching unsupervised transfer learning network for rolling bearing fault diagnosis under various working conditions. Appl. Soft Comput. Chunran Huo, Quansheng Jiang, Yehu Shen, Xiaoshan Lin, Qixin Zhu, Qingkui Zhang
2023	A	`conf`	Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows. IROS Xiaoshan Lin, Abbasali Koochakzadeh, Yasin Yazicioglu, Derya Aksaray
2023	J	`jnl`	Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows. CoRR Xiaoshan Lin, Abbasali Koochakzadeh, Yasin Yazicioglu, Derya Aksaray
2022	J	`jnl`	Robust Planning for Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations. IEEE Robotics Autom. Lett. Xiaoshan Lin, Yasin Yazicioglu, Derya Aksaray