Xiaochen Lian
Research Scientist at ByteDance
📍 Los Angeles, California, United States
Xiaochen is a Research Scientist at ByteDance with expertise in AutoML, deep learning, and computer vision. He holds a PhD from UCLA, where his research centered on efficient Neural Architecture Search. His work focuses on developing and optimizing advanced AI models.
His PhD dissertation and subsequent publications focus on Neural Architecture Search (NAS), a key technique for automating the design of efficient AI models.
Read the full overview →Experience
9 Years
Current Role
Research Scientist
Location
Los Angeles, California, United States
Personality Overview
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Priorities
Topics Xiaochen cares about
Neural Architecture Search
His PhD thesis at UCLA and multiple publications focus on this topic, indicating it is a core area of his professional expertise and interest.
Efficient Deep Learning
Much of his published research aims to make AI models more efficient and optimized for specific hardware, a key challenge in the field.
Career
Work history
1-2019
Research Scientist
ByteDance
4-2017 - 1-2019
Research Scientist
Baidu USA
7-2009 - 4-2010
Internship
Microsoft
7-2007 - 10-2007
Internship
Microsoft
In the press
Media appearances
No media yetWe could not find public media appearances for this person.
Education
2011 - 2016
PhD
UCLA
2008 - 2011
Master of Science (M.S.)
Shanghai Jiao Tong University
Social presence
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