Youjie Li

A Tiny Ph.D. Student at UIUC ECE


I am a N-th year Ph.D. student at Electrical & Computer Engineering of University of Illinois--Urbana-Champaign. My research surrounds Distributed Training of Deep Neural Nets, which spans the areas of Hardware, Networking, and Machine Learning. I am lucky to be advised by Prof. Nam Sung Kim.

I have been collaborating happily with Dr. Amar Phanishayee at Microsoft Research (as an intern in Project Fiddle) and with Dr. Ren Wang at Intel Labs. Before joining UIUC in 2016, I received my Master of Science (with Research Assistantship) from ECE of Texas A&M University. I was advised by amazing Prof. Peng Li and was working on Hardware Systems for Spiking Neural Networks.



(MobiCom'21) Visage: Enabling Timely Analytics for Drone Imagery

Sagar Jha*, Youjie Li*, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam

(*Co-first author; Alphabetical order)

The 27th International Conference on Mobile Computing and Networking (MobiCom), 2021. Acceptance rate of 19%.

[coming soon]

(HotOS'21) Doing More with Less: Training Large DNN Models on Commodity Servers for the Masses

Youjie Li, Amar Phanishayee, Derek Murray, Nam Sung Kim

The 18th Workshop on Hot Topics in Operating Systems (HotOS XVIII), 2021. Acceptance rate of 26%.

[pdf] [slides] [video] [bibtex]

(MICRO'19) DeepStore: In-Storage Acceleration for Intelligent Queries

Vikram S Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, SimonGarcia de Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-mei Hwu

The 52nd International Symposium on Microarchitecture (MICRO), 2019. Acceptance rate of 23%.

[pdf] [slides] [bibtex]

(ISCA'19) Accelerating Distributed Reinforcement Learning with In-Switch Computing

Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander Schwing, Jian Huang

The 46th International Symposium on Computer Architecture (ISCA), 2019. Acceptance rate of 17%.

[pdf[slides] [bibtex]

(NIPS'18) Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training

Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander Schwing

Advances in Neural Information Processing Systems (NIPS), 2018. Acceptance rate of 20%.

[pdf[poster] [bibtex]

(NIPS'18) GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training

Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr

Advances in Neural Information Processing Systems (NIPS), 2018. Acceptance rate of 20%.

[pdf[poster] [bibtex]

(MICRO'18) A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks

Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander Schwing, Hadi Esmaeilzadeh, Nam Sung Kim

The 51st International Symposium on Microarchitecture (MICRO), 2018. Acceptance rate of 21%.

[pdf[slides] [bibtex]

(Neurocomputing'17) Energy Efficient Parallel Neuromorphic Architectures with Approximate Arithmetic on FPGA

Qian Wang, Youjie Li, Botang Shao, Siddhartha Dey, Peng Li

Neurocomputing, 2017.

[pdf] [bibtex]

(ISCAS'16) Liquid State Machine based Pattern Recognition on FPGA with Firing-Activity Dependent Power Gating and Approximate Computing

Qian Wang, Youjie Li, Peng Li

The IEEE International Symposium on Circuits and Systems (ISCAS), 2016. 

Best Paper Award

[pdf] [bibtex]


Research Intern

  • Microsoft Research, Redmond, Summer 2020​​​​

    • Amazing mentor: Dr. Amar Phanishayee​

    • Group: Project Fiddle, Microsoft Research

  • Microsoft Research, Redmond, Summer 2019​​​​

    • Amazing mentors: Dr. Anirudh Badam, Dr. Ranveer Chandra, Dr. Amar Phanishayee​

    • Group: FarmBeats

  • IBM Research, Yorktown, Summer 2018

  • IBM Research, Austin, Summer 2017

Teaching Assistant​

  • ECE411 Computer Architecture, Fall 2021

  • ECE411 Computer Architecture, Spring 2021

  • ECE438 Communication Networks (a.k.a. Computer Networks), Fall 2019

  • ECE385 Digital Systems Laboratory, Fall 2018

  • ECE446 Machine Learning, Spring 2018



  • Dan Vivoli Endowed Fellowship, ECE, UIUC, 2019-2020

  • ISCA and NSDI Student Travel Grant, 2019

  • Best Paper Award, The IEEE International Symposium on Circuits and Systems (ISCAS), 2016

  • ECE Department Scholarship, Texas A&M University, 2014-2015



  • It's hard to pronounce my name correctly. My name can be pronounced as "Yo-Jay Lee".

  • My last name is actually "黎" : )

  • My dream life is doing research only 996, while playing badminton every week. Yo~!

  • No. No more TA jobs ... ...


li238 [at] illinois [dot] edu

​FAST Lab, W Main St, Urbana, IL 61801

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