Yang's research group wiki

* Reviewed seminal papers on attention mechanisms, including:

• Attention Is All You Need
• Masked-attention Mask Transformer for Universal Image Segmentation

* Developed proficiency in Anaconda and Python programming for AI applications. * Joined laboratory research under mentorship of senior researchers.

* Supported experiments for the paper TGMformer: Transferability Guided Mask Transformer for Segmentation Domain Adaptation (led by senior Zhang Enming):

• Implemented baseline models comparing fine-tuning strategies (last layer vs. full network) for transfer learning.
• Formalized mathematical definitions for transfer learning, clustering algorithms, and attention masking in the Methods section.
• Assisted with LaTeX typesetting and document formatting.

• Continued working on the paper TGMformer: Transferability Guided Mask Transformer for Segmentation Domain Adaptation
• Engineered a data loader and task-splitting module for the ImageNet-R dataset to support experiments with the Hypernet framework.
• Debugged and optimized code to improve functional reliability.

• Evaluated experimental results from the Hypernet project and documented insights.
• Authored a reflective summary highlighting growth in research skills, data processing, and software testing.