Weixiong Lin
Scholar

Weixiong Lin

Google Scholar ID: Ka57qcUAAAAJ
Shanghai Jiao Tong University
Multi-modal PretrainingFoundation Model
Citations & Impact
All-time
Citations
1,306
 
H-index
6
 
i10-index
6
 
Publications
9
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Squeeze Out Tokens from Sample for Finer-Grained Data Governance, CVPR 2025
  • - Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training, ICASSP 2025
  • - Contrast and Unity for Partially-Supervised Temporal Sentence Grounding, MICCAI 2023
  • - PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents, JAMIA
  • - PMC-LLaMA: toward building open-source language models for medicine, Nature Communication
  • - Towards Building Multilingual Language Model for Medicine, Nature Communication
  • - PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering, Nature Communication
  • - Can GPT-4V (ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis, Nature Communication
  • - Google Scholar Citations: 700+, H-index: 5, I10-index: 5
Research Experience
  • - Algorithm researcher at TikTok Search Department
  • - Involved in developing multi-modal foundation models, including data synthesis and knowledge injection
  • - Previously worked at Alibaba's Future Living Laboratory, developing large-scale searching & question-answering system (拍立淘)
Education
  • - 2022 - 2025: Graduate Student, Shanghai Jiao Tong University, Shanghai, China
  • - 2018 - 2022: Undergraduate, Shanghai Jiao Tong University, Shanghai, China
Background
  • - Algorithm researcher at TikTok Search Department
  • - Focusing on developing multi-modal technologies with global influence, such as superlarge-scale pre-training for image/text/video contents, guided with reinforcement learning
  • - Previously worked at Alibaba's Future Living Laboratory, developing large-scale searching & question-answering system (拍立淘), one of the largest visual/multi-modal application scenarios in China
Miscellany
  • - Advisors: Prof. Weidi Xie (海外优青), Prof. Ya Zhang (国家万人), collaborating with Prof. Yanfeng Wang (人工智能学院院长)
  • - Personal interests: Not provided