Tianyi Xiong

PhD Candidate

Greenbelt, Maryland, United States
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Summary

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Rockstar
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Top School
Tianyi Xiong is a PhD candidate in Computer Science at the University of Maryland with five years of research experience focused on machine learning, computer vision, and multimodal models. He has interned at top industry and academic labs including NVIDIA, ByteDance (where he led development of LLaVA-Critic, an open-source generalist evaluator for large multimodal models), Microsoft Research Asia, UC San Diego, and Tsinghua’s graphics group. His background blends rigorous theoretical training from Tsinghua (BE, top 20%) with hands-on systems and evaluation work on state-of-the-art visual and multimodal models. Tianyi stands out for translating cutting-edge research into open-source tools and evaluators that advance reproducibility and benchmarking in multimodal AI.
code5 years of coding experience
job2 years of employment as a software developer
bookBachelor of Engineering - BE, Computer Science, 3.88 / 4.0 (top 20%), Bachelor of Engineering - BE, Computer Science, 3.88 / 4.0 (top 20%) at 清华大学
bookHigh School Diploma, 2nd Prize in 35th CPhO Final (Oct. 2018), High School Diploma, 2nd Prize in 35th CPhO Final (Oct. 2018) at Beijing No.4 High School
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 美国马里兰大学帕克分校
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Github Skills (4)

aerial-image-detection10
object-detection6
benchmark6
deep-learning5

Programming languages (1)

Python

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:169 pushes in 2 years 4 months
templategithub-pages-templatemmistakesmistakesjekyll
Eircx/Pytorch-ResNet

Jan 2021 - Mar 2022

Contributions:11 commits, 21 pushes, 3 branches in 1 year 1 month
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Tianyi Xiong - PhD Candidate