Junjie Fei
Research Scientist Intern at Meta
Thuwal, Makkah Region, Saudi Arabia
Summary
🤩
Rockstar🎓
Top SchoolJunjie Fei is a PhD student and research scientist intern at Meta, specializing in vision-language learning with three years of research experience across academia and industry. He has held visiting scholar roles at KAUST and Southern University of Science and Technology, and contributed as a research assistant advancing multimodal models. Grounded in telecommunications and electrical engineering (Chongqing University, Xiamen University), he brings a strong signal-processing and systems perspective to visual-language problems. Junjie combines academic rigor with practical implementation experience, moving ideas from publications to prototype systems. Based in Thuwal, Saudi Arabia, he frequently bridges international labs and industry teams, reflecting a collaborative, cross-cultural research style. Colleagues note his ability to translate complex multimodal challenges into experimentally tractable solutions that accelerate model understanding.
3 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KAUST (King Abdullah University of Science and Technology)Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Chongqing UniversityMaster's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Xiamen University
Github Skills (11)
user-preferences8
image-to-text7
image-segmentation7
chat-application6
chatgpt6
multimodal4
chatbot4
speech4
video-understanding2
language-model2
3d1
Programming languages (2)
Github contributions (5)
FeiElysia/feielysia.github.io
Jul 2023 - Apr 2026
Contributions:68 pushes, 1 branch in 2 years 9 months
FeiElysia/ViECap
Jul 2023 - Nov 2024
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning, ICCV 2023
Contributions:18 pushes, 1 branch, 1 tag in 1 year 3 months
transferabilityvision-language-modelobject-hallucinationzero-shot-captioningmodality-biases
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