Hello! I’m Weixiong Lin (林玮雄).
I’m now an research intern of Alibaba Search and Recommendation Department. The vision is to develop large-scale visual searching system (拍立淘). And I am contributing to the superlarge-scale pre-training (10-billion image-text product data).
My research interest includes Representation Learning & Multi-Modal Foundation Model(Data Synthesis, Knowledge Injection). Feel free to reach me if you are seeking any form of cooperation.
I am fortunate to be advised by Prof. Weidi Xie(海外优青) and Prof. Ya Zhang(国家万人), in MediaBrain Group, Shanghai Jiao Tong University.
Email: wx_lin[at]outlook[dot]com
🔥 News
- 2024.07: 🎉 MMedLM are accepted by Nature Communication
- 2024.04: 🎉 PMC-LLaMA are accepted by JAMIA
📝 Publications
📚 Multimodal Large Language Models
MICCAI 2023
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents
Weixiong Lin*, Ziheng Zhao*, et al.JAMIA
PMC-LLaMA: toward building open-source language models for medicine
Chaoyi Wu*, Weixiong Lin*, et al.Nature Communication
Towards Building Multilingual Language Model for Medicine
Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, Weixiong Lin, et al.- PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, et al. - Can GPT-4V (ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis
Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng, Weke Zhao, Weixiong Lin, et al.
💻 Internships
- 2024.05 - Now, Alibaba, Hangzhou.
- 2023.10 - 2024.04, Shanghai AI Lab, Shanghai.
- 2021.07 - 2022.03, MSRA, Beijing.
🗞 Academics and Communications
- I am fortunate to meet many interesting people & Team:
- University.
- Alibaba. TAO Technology: Shuai Xiao, Zida Cheng, Mengting Chen, Xuewen Hong, Yixuan Huang, Lianyu Du.
- Huawei. Peisen Zhao, Maosen Li
- Apple. Jinge Yao
- MSRA. Bin Zhu
- Hardware Company. NVIDIA: Yangheng Zhao, Intel: Yujie Pan
🎖 Honors and Awards
- 2022.10 Zhiyuan Scholarship (Top 1%)
- 2021.10 Zhiyuan Scholarship (Top 1%)
- 2021.09 Finalist Prize in MCM Competition (Top 1%)