Yucheng Lu
Email: yl2967 [at] cornell [dot] edu
Address: 325 Gates Hall, Cornell University, Ithaca, NY, 14853
Google Scholar / Twitter

Short Bio

I am a 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. I obtained my BEng degree in Electronic Engineering from Shanghai Jiao Tong University.


[May’21] DeTAG is accepted by ICML’21 as Long Oral (3%), we discussed the theoretical limits of decentralized training, and how to achieve it!

[May’21] SCott is accepted by ICML’21, we discussed how to use stratification in training forecasting models!

[Apr’21] Short version of HyperDeception is accepted by Robust ML workshop in ICLR’21, we discussed how hyperparameter optimization can be misleading!

[May’20] Moniqua is accepted by ICML’20, we discussed how to compress communication in learning systems without additional memory!


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


CS 4787 Principles of Large-Scale Machine Learning, Teaching Assistant, Spring 2021

CS 6787 Advanced Machine Learning Systems, Teaching Assistant, Fall 2019


Journals: TON-2017; TPAMI-2020; Big Data-2021

Conferences: ICML-2020,-2021; NeurIPS-2020,-2021; ICLR-2022

Cornell CS PhD Admission, 2021