📚 Master's Student | University of Electronic Science and Technology of China (UESTC)
🔍 Research Focus: Medical Image Segmentation | Large-Scale Model Fine-tuning | AI for Healthcare
🧠 Deep Learning: PyTorch, TensorFlow, MONAI
🖥️ Languages: Python, C++, Shell
⚙️ Frameworks:
- Segmentation: nnUNet, Swin-UNet, SAM (Segment Anything)
- Efficient Fine-tuning: LoRA, PEFT, Adapter
- Medical Tools: ITK-SNAP, 3D Slicer
- **Medical Image Segmentation with nnUNet**
- Achieved
Dice=0.92on BraTS 2021 using hybrid preprocessing.
- Achieved
- **Fine-tuning SAM for CT Lesion Detection**
- Adapted SAM with prompt engineering for low-data regimes.
- **Efficient LLM Fine-tuning**
- Reduced GPU memory by 40% using LoRA on LLaMA-7B.
