Youjie Li

A Tiny Ph.D. Student at UIUC ECE

 

I am a Ph.D. candidate at Electrical & Computer Engineering of University of Illinois--Urbana-Champaign. I am advised by Prof. Nam Sung Kim. I also work closely with Prof. Alexander Schwing. My research focuses on Accelerating Distributed Learning with In-Network Computing, which spans the areas of Networking, Hardware, and Machine Learning. 

I have been collaborating with Intel Lab and Microsoft Research. Before joining UIUC in 2016, I received my Master of Science degree from ECE of Texas A&M University. I was advised by Prof. Peng Li and was working on Hardware Systems for Spiking Neural Networks.

 

Publications

(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]

Experiences

Research Intern

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

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

    • FarmBeats Group

  • IBM Research, Yorktown, Summer 2018

  • IBM Research, Austin, Summer 2017

Teaching Assistant​

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

  • ECE385 Digital Systems Laboratory, Fall 2018

  • ECE446 Machine Learning, Spring 2018

 
 

Awards

  • 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

 

Miscellaneous

  • 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 996 while playing badminton every week !!!

  • No. No more TA jobs.

Contact

li238 [at] illinois [dot] edu

​Intelligent Computing Systems Lab, W Main St, Urbana, IL 61801

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