Skull R-CNN: A CNN-based network for the skull fracture detection. - Zhuo Kuang; Xianbo Deng; Li Yu 003; Hang Zhang; Xian Lin; Hui Ma (MIDL, 2020)

Design of High-performance SoC Simulation Model Based on Verilator. - Yuan Chi; Xian Lin; Xin Zheng 001 (ACAI, 2022)

C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. - Xian Lin; Zengqiang Yan; Li Yu 003; Kwang-Ting Cheng (CoRR, 2022)

ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. - Xian Lin; Zengqiang Yan; Xianbo Deng; Chuansheng Zheng; Li Yu 003 (MICCAI (4), 2023)

SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation. - Xian Lin; Yangyang Xiang; Li Zhang; Xin Yang 008; Zengqiang Yan; Li Yu 003 (CoRR, 2023)

The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. - Xian Lin; Li Yu 003; Kwang-Ting Cheng; Zengqiang Yan (IEEE Trans. Medical Imaging, 2023)

BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. - Xian Lin; Li Yu 003; Kwang-Ting Cheng; Zengqiang Yan (IEEE J. Biomed. Health Informatics, 2023)

Hardware/Software Co-Design of Cryptographic SoC Based on RISC-V Virtual Prototype. - Xin Zheng 001; Junwei Wu; Xian Lin; Huaien Gao; Shuting Cai; Xiaoming Xiong (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. - Zhehao Wang; Xian Lin; Nannan Wu; Li Yu 003; Kwang-Ting Cheng; Zengqiang Yan (AAAI, 2024)

Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt. - Xian Lin; Zhehao Wang; Caozhi Shang; Junjie Shi; Zengqiang Yan; Li Yu 003 (FLARE@MICCAI, 2024)

Revisiting Self-attention in Medical Transformers via Dependency Sparsification. - Xian Lin; Zhehao Wang; Zengqiang Yan; Li Yu 003 (MICCAI (11), 2024)

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting. - Xian Lin; Yangyang Xiang; Li Yu 003; Zengqiang Yan (MICCAI (8), 2024)

CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation. - Zhehao Wang; Xian Lin; Junjie Shi; Caozhi Shang; Li Yu 003; Zengqiang Yan (FLARE@MICCAI, 2024)

UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation. - Xiayu Guo; Xian Lin; Xin Yang 008; Li Yu 003; Kwang-Ting Cheng; Zengqiang Yan (Pattern Recognit., 2024)

FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores. - Xian Lin; Heming Liu; Xin Zheng 001; Huaien Gao; Shuting Cai; Xiaoming Xiong (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Research on Feature Extraction Method of Aerobics Jumping Movement Based on AdaBoost Algorithm and Gaussian Mixture Model. - Qianqian Zhang; Xian Lin (Informatica (Slovenia), 2025)

SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts. - Xian Lin; Yangyang Xiang; Zhehao Wang; Kwang-Ting Cheng; Zengqiang Yan; Li Yu 003 (IEEE Trans. Medical Imaging, 2025)

Efficient Design Space Exploration for the BOOM Using SAC-Based Reinforcement Learning. - Mingjun Cheng; Shihan Zhang; Xin Zheng 001; Xian Lin; Huaien Gao; Shuting Cai; Xiaoming Xiong; Bei Yu 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)