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2020 – today
- 2024
[j5]Xiayu Guo, Xian Lin
, Xin Yang, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation. Pattern Recognit. 152: 110491 (2024)- [j4]Xian Lin, Heming Liu, Xin Zheng, Huaien Gao, Shuting Cai, Xiaoming Xiong:
FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores. IEEE Trans. Very Large Scale Integr. Syst. 32(10): 1945-1949 (2024) - [c6]Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. AAAI 2024: 5814-5822 - [c5]Xian Lin, Yangyang Xiang, Li Yu, Zengqiang Yan:
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting. MICCAI (8) 2024: 24-34 - [c4]Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu:
Revisiting Self-attention in Medical Transformers via Dependency Sparsification. MICCAI (11) 2024: 555-566 - [i5]Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu:
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts. CoRR abs/2403.13258 (2024) - 2023
- [j3]Xin Zheng, Junwei Wu, Xian Lin, Huaien Gao, Shuting Cai, Xiaoming Xiong:
Hardware/Software Co-Design of Cryptographic SoC Based on RISC-V Virtual Prototype. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3624-3628 (2023) - [j2]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3501-3512 (2023) - [j1]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. IEEE Trans. Medical Imaging 42(8): 2325-2337 (2023) - [c3]Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. MICCAI (4) 2023: 642-651 - [i4]Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. CoRR abs/2309.05674 (2023) - [i3]Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, Li Yu:
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation. CoRR abs/2309.06824 (2023) - 2022
- [c2]Yuan Chi, Xian Lin, Xin Zheng:
Design of High-performance SoC Simulation Model Based on Verilator. ACAI 2022: 92:1-92:6 - [i2]Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng:
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. CoRR abs/2206.14409 (2022) - [i1]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. CoRR abs/2206.14413 (2022) - 2020
- [c1]Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin, Hui Ma:
Skull R-CNN: A CNN-based network for the skull fracture detection. MIDL 2020: 382-392
Coauthor Index
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