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Yucheng Lu |
Short Bio
I am a third-year Ph.D. student in Computer Science at Cornell University, advised by Prof. Chris De Sa. Our group webpage can be found here. I am broadly interested in building scalable and provably correct machine learning systems. My research has touched on distributed optimization, low precision training, model compression, and machine learning applications. I obtained my BEng degree in Electronic Engineering from Shanghai Jiao Tong University.
News
[May’20] Moniqua is accepted by ICML’20!
[Dec’19] Adaptive Diffusion is accepted by IEEE TKDE’20!
[Aug’18] Awarded Cornell Ph.D. Fellowship!
[Aug’18] Start Ph.D. at Cornell University!
Experience
Microsoft Research, Research Intern, Summer 2021
Amazon Web Services (AWS) AI Lab, Applied Scientist Intern, Summer and Fall 2020
NetDB at University of Pennsylvania, Visiting Scholar, Summer 2017
IIOT at Shanghai Jiao Tong University, Undergrad Intern, Spring 2017
Teaching
CS 4787 Principles of Large-Scale Machine Learning, Teaching Assistant, Spring 2021
CS 6787 Advanced Machine Learning Systems, Teaching Assistant, Fall 2019
Service
TON 2017, ICML 2020/2021, NeurIPS 2020, TPAMI 2020, Big Data 2021
Cornell CS PhD Admission, 2021