Xianyu Chen
AI Research Scientist at Fasikl
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolXianyu Chen is an AI research scientist with nine years of industry and academic experience and over four years focused on computer vision, vision-and-language, and few-shot learning. Now at Fasikl, Xianyu progressed from research engineer to research scientist and now AI research scientist, applying PhD-level methods to product-scale problems. Their PhD work at the University of Minnesota produced three top-tier publications investigating human attention in vision-and-language tasks and involved designing large-scale data collection via Amazon Mechanical Turk. Comfortable spanning experiments, data engineering, and model development, Xianyu blends rigorous academic research with practical deployment experience. Colleagues describe them as someone who bridges human-centered evaluation and scalable ML systems, often surfacing insights about attention annotation quality that aren’t obvious from model metrics alone.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MinnesotaMaster of Engineering - MEng Electrical Electronics and Communications Engineering, Master of Engineering - MEng Electrical Electronics and Communications Engineering at Sun Yat-sen University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
pytorch3
computer-vision3
benchmark2
scale2
deep-learning2
Programming languages (1)
Github contributions (5)
chenxy99/SD-FSIC
Jun 2020 - Dec 2020
Contributions:22 commits, 1 push, 1 comment in 6 months
chenxy99/Scanpaths
Nov 2020 - Mar 2021
Contributions:27 commits, 1 comment, 1 issue in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.