Yukang Chen
Research Scientist at 英伟达公司
Shanghai, United States
Summary
👤
Senior🎓
Top SchoolYukang Chen is a research scientist with 13 years of experience focused on scaling AI for long-context workloads, currently based in Shanghai and working at NVIDIA after an internal research internship there. He holds a PhD in Computer Science and Engineering from The Chinese University of Hong Kong and has research internships at ByteDance, blending deep academic training with industry R&D. His work centers on "Long AI" — practical methods to make large models efficient over extended inputs — suggesting strengths in model optimization, systems engineering, and memory-aware architectures. Transitioning from intern to researcher at NVIDIA in under a year indicates strong experimental impact and the ability to translate prototypes into production-informed research. Though not a prolific GitHub broadcaster, his homepage highlights a focused research agenda that bridges theoretical advances and engineering practicality in AI at scale.
13 years of coding experience
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at 香港中文大学
德语
Github Skills (12)
java4
apache-hive4
apache3
restful3
database3
hadoop2
hive2
big-data2
query-engine1
spark1
shark1
scala1
Github contributions (5)
dianping/hiveweb
Nov 2012 - Aug 2014
Contributions:14 commits in 1 year 9 months
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