Resume

Education

2024.01 - 2025.04: Document Content Extraction and Comprehension Using LLM
- Advisor: Prof. Xiaoqing Lv, Wangxuan Institute of Computer Technology, Peking University
- Developed an email parsing and recommendation system using LLM libraries like SpaCy and keyBERT to evaluate keyword importance and grammatical weights, creating a service that parses subscribed arXiv alerts; realized the delivery of personalized recommendation lists of research articles based on the parsed data.
2024.01 - 2024.10: Orthodontics Image Classification Based on Adapter Learning
- Advisor: Prof. Hongliang Ren, the Chinese University of Hong Kong
- Engaged in the adapter learning based orthodontics image classification using MMPretrain to train mainstream pipelines including ResNet50, Vision Transformer, Swin Transformer, and Surgical-Dino for classifying orthodontic diseases.
2024.07 - 2024.10: Multi-view Contrastive Learning of Medical Time Series Prediction Pretraining
- Advisor: Prof. Tengfei Ma, the Stony Brook University
- Implemented the ViTST and PatchTST models on PAMAP2 dataset and extracted feature representations for contrast learning, while integrated both views into one potential space.

Deep Learning-based Detection of Impacted Teeth on Panoramic Radiographs. (published)
- He, Z.*, Li, X., & Wang, Y. (2024).
- Biomedical Engineering and Computational Biology (SCI Journal).
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy. (published)
- Bai, L., Tan, Q., Chen, T., Nah, W. J., Li, Y., He, Z., et al. (2024).
- Medical Image Computing and Computer Assisted Intervention Society (MICCAI 2024).

Previously volunteered to instruct Probability seminars and hold Data Science workshop in Academic Support Center
Have been leader of study groups for almost every coursework and competition throughout the college time