Xin Yu
My research interests lie in the intersection of Deep Learning and Optimization and focus on reliable and economical... | Salt Lake City, Utah, United States
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Xin Yu’s Emails xi****@ut****.edu
Xin Yu’s Phone Numbers No phone number available.
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Xin Yu’s Location Salt Lake City, Utah, United States
Xin Yu’s Expertise My research interests lie in the intersection of Deep Learning and Optimization and focus on reliable and economical AI techniques for large-scale AI models in real-world scenarios. Specifically, I’m exploring efficient computation, economic data abstraction and collection, and bias reduction and robustness enhancement in AI systems. Drawing upon my expertise in combinatorial optimization, Bayesian machine learning, and deep neural network expressiveness, I aim to address these multifaceted challenges in computer vision and physical simulation applications. This interdisciplinary approach allows me to forge new pathways in creating more efficient, equitable, and powerful AI technologies.
Xin Yu’s Current Industry University Of Utah
Xin
Yu’s Prior Industry
Huazhong University Of Science And Technology
|
Meituan Com
|
University Of Utah
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Work Experience
University Of Utah
Research Assistant
Mon Aug 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Meituan Com
NLP Algrithm Engineer
Sun Feb 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jul 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)
Huazhong University Of Science And Technology
Research Assistant
Tue Sep 01 2009 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Mar 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Xin Yu Email Addresses
FAQ About Xin Yu
-
Xin Yu is located at
Salt Lake City, Utah, United States -
Xin Yu is a
My research interests lie in the intersection of Deep Learning and Optimization and focus on reliable and economical AI techniques for large-scale AI models in real-world scenarios. Specifically, I’m exploring efficient computation, economic data abstraction and collection, and bias reduction and robustness enhancement in AI systems. Drawing upon my expertise in combinatorial optimization, Bayesian machine learning, and deep neural network expressiveness, I aim to address these multifaceted challenges in computer vision and physical simulation applications. This interdisciplinary approach allows me to forge new pathways in creating more efficient, equitable, and powerful AI technologies. University Of Utah -
Xin Yu currently works in the
University Of Utah -
Xin Yu specializes in
My research interests lie in the intersection of Deep Learning and Optimization and focus on reliable and economical AI techniques for large-scale AI models in real-world scenarios. Specifically, I’m exploring efficient computation, economic data abstraction and collection, and bias reduction and robustness enhancement in AI systems. Drawing upon my expertise in combinatorial optimization, Bayesian machine learning, and deep neural network expressiveness, I aim to address these multifaceted challenges in computer vision and physical simulation applications. This interdisciplinary approach allows me to forge new pathways in creating more efficient, equitable, and powerful AI technologies. -
Xin Yu speaks the following languages:
No languages available. -
Xin Yu has prior experience in the following industries:
Meituan Com , Huazhong University Of Science And Technology -
Xin Yu has the following professional experience:
University Of Utah , Meituan Com , Huazhong University Of Science And Technology . -
You can view Xin Yu’s
LinkedIn profile at LinkedIn URL. -
Xin Yu’s work email addresses are
[email protected] . -
Xin Yu works at
University Of Utah
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