Xian Lin

According to our database, Xian Lin authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores.

Xian Lin, Heming Liu, Xin Zheng, Huaien Gao, Shuting Cai, Xiaoming Xiong

IEEE Trans. Very Large Scale Integr. Syst., October, 2024

UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation.

Xiayu Guo, Xian Lin, Xin Yang, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

Pattern Recognit., 2024

SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts.

Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu

CoRR, 2024

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.

Xian Lin, Yangyang Xiang, Li Yu, Zengqiang Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Revisiting Self-attention in Medical Transformers via Dependency Sparsification.

Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation.

Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hardware/Software Co-Design of Cryptographic SoC Based on RISC-V Virtual Prototype.

Xin Zheng, Junwei Wu, Xian Lin, Huaien Gao, Shuting Cai, Xiaoming Xiong

IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation.

Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

IEEE J. Biomed. Health Informatics, July, 2023

The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning.

Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

IEEE Trans. Medical Imaging, 2023

SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation.

Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, Li Yu

CoRR, 2023

ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation.

Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation.

Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng

CoRR, 2022

Design of High-performance SoC Simulation Model Based on Verilator.

Yuan Chi, Xian Lin, Xin Zheng

Proceedings of the 5th International Conference on Algorithms, 2022

2020

Skull R-CNN: A CNN-based network for the skull fracture detection.

Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin, Hui Ma

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020