Scholar
Qi She (佘琪)
Google Scholar ID: iHoGTt4AAAAJ
Bytedance
Citations & Impact
Citations
3,802
H-index
20
i10-index
31
Publications
20
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published papers in top conferences and journals including PAMI 2023, ICML 2022, CVPR 2022, ICCV 2021, CVPR 2021, IEEE Transactions on Signal Processing (TSP), ACM Computing Surveys, etc.; invited as a reviewer for ICLR, NeurIPS, ICML, CVPR, ACM MM, and other top conferences multiple times; received awards such as Bytedance Monetization Product and Technology Q2/Q4 Inspire Award, 3rd place in Google Landmark Recognition 2021, five Intel China Awards, Intel Labs Gordy Awards, 2nd place in the 10th Global Artificial Intelligence Hackathon, etc.
Research Experience
- Served as a research scientist at ByteDance, leading the Applied Algorithm team; previously worked as a research scientist at Intel Labs.
Background
- Currently leading the Applied Algorithm team in Business Integrity at ByteDance, focusing on applying (Multi Modal) Large Language Model, Machine Learning, and Computer Vision techniques in AI products. Before that, he was a research scientist at Intel Labs.
Miscellany
- Recruiting scientists, engineers, and interns in Multi Modal Large Language Model; personal interests and hobbies not mentioned.
