Jiecao Yu - Facebook, Inc.

[About Me] | [Education] | [Publications] | [Experiences] | [Links]

About Me

I am currently a senior research scientist at Facebook, Inc. My work focuses on DNN pruning, quantization, and acceleration.

I obtained my Ph.D. from the University of Michigan - Ann Arbor under the supervision of Prof. Scott Mahlke. Before joining UMich in August 2014, I received my B.Eng. degree of Electrical Engineering in Zhejiang University, China.

If you need more information about my current work, please Contact Me.

My CV is available here (updated 09/2022).

Education

- Ph.D. Candidate, Computer Science & Engineering, 08/2014 - 09/2019
Advisor: Prof. Scott Mahlke
University of Michigan, Ann Arbor, MI

- M.S. Computer Science & Engineering, 08/2014 - 12/2015
University of Michigan, Ann Arbor, MI
Cumulative GPA: 4.00/4

- B.Eng. Electronic & Information Engineering, 08/2010 - 06/2014
Honored Minor, Advanced Honor Class of Engineering Education (ACEE)
Zhejiang University, Hangzhou, China
Cumulative GPA: 3.98/4

Publications

Michael Anderson, et al., Jiecao Yu. "First-Generation Inference Accelerator Deployment at Facebook". arXiv:2107.04140
[ paper ]
Xiaowei Wang, Vidushi Goyal, Jiecao Yu, Valeria Bertacco, Andrew Boutros, Eriko Nurvitadhi, Charles Augustine, Ravi Iyer and Reetuparna Das. "Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs". The 29th IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM-29), May, 2021
[ paper ]
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal. "Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems". The 20th IEEE International Conference on Machine Learning and Applications (ICMLA-20), Dec, 2021
[ paper ]
Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, Zeliang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal. "Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data". arXiv: 2010.08655
[ paper ]
Jiecao Yu, Andrew Lukefahr, Reetuparna Das, Scott Mahlke. "TF-Net: Deploying Sub-Byte Deep Neural Networks on Microcontrollers". ESWEEK-TECS special issue / the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), Oct, 2019
[ paper ]
Xiaowei Wang, Jiecao Yu, Charles Augustine, Ravi Iyer, Reetuparna Das. "Bit Prudent In-Cache Acceleration of Deep Convolutional Neural Networks". The 25th IEEE International Symposium on High-Performance Computer Architecture (HPCA-25), Feb, 2019
[ paper ]
Jiecao Yu, Jongsoo Park, Maxim Naumov. "Spatial-Winograd Pruning Enabling Sparse Winograd Convolution". arXiv: 1901.02132
[ paper ]
Jiecao Yu, Andrew Lukefahr, David Palframa, Ganesh Dasika, Reetuparna Das, Scott Mahlke. "Scalpel: Customizing DNN Pruning to the Underlying Hardware Parallelism". The 44th International Symposium on Computer Architecture (ISCA-44), Jun, 2017
[ paper | slides | code ]
Jiecao Yu, Andrew Lukefahr, Shruti Padmanabha, Reetuparna Das, Scott Mahlke. "Adaptive Cache Partitioning on a Composite Core". The PRISM-3 Workshop at ISCA-42, Jun, 2015
[ paper | slides ]

Experiences

- Facebook, Inc.
AI System SW/HW Co-Design Group
Senior Research Scientist 08/2021 - Present
Research Scientist 10/2019 - 08/2021
Menlo Park, CA

- Facebook, Inc. 05/2018 - 08/2018
Research Intern, Manager: Dr. Jongsoo Park
Menlo Park, CA

- ARM Inc. 05/2017 - 07/2017
Research Intern, Manager: Dr. Ganesh Dasika
Austin, TX

- ARM Inc. 06/2016 - 08/2016
Research Intern, Manager: Dr. David Palframan
Austin, TX

- University of Southern California 07/2013 - 09/2013
Research Intern, Advisor: Prof. Melvin Breuer †2017
Los Angeles, CA