Yanzhi Wang

Assistant Professor,  Electrical and Computer Engineering



  • 617.373.8805

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Research Focus

Real-time and energy-efficient deep learning and artificial intelligence systems, model compression of deep neural networks (DNNs), neuromorphic computing and non-von Neumann computing paradigms


  • PhD, University of Southern California, 2014

Honors & Awards

  • 2022 College of Engineering Faculty Fellow
  • IEEE Technical Committee on Secure and Dependable Measurement Early Career Award
  • Army Research Office Young Investigator Award
  • Top Paper Award, IEEE Cloud Computing Conference (CLOUD)
  • System Design Contest Special Service Recognition Award at DAC
  • Massachusetts Acorn Innovation Award, Faculty Research Awards from Google, Mathworks, etc.
  • Best Paper Award, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  • Best Paper Award, IEEE/ACM International Symposium on Low Power Electronic Design (ISLPED)

Research Overview

Real-time and energy-efficient deep learning and artificial intelligence systems, model compression of deep neural networks (DNNs), neuromorphic computing and non-von Neumann computing paradigms

Selected Research Projects

Research Centers and Institutes

Selected Publications

  • Yue, Jinshan, Liu, Yongpan, Liu, Ruoyang, Sun, Wenyu, Yuan, Zhe, Tu, Yung-Ning, Chen, Yi-Ju, Ren, Ao, Wang, Yanzhi, Chang, Meng-Fan, Li, Xueqing, Yang, Huazhong (2021). STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE Journal of Solid-State Circuits, 56(6),1936-1948. 10.1109/JSSC.2020.3030264
  • Niu, X. Ma, S. Lin, S. Wang, X. Qian, X. Lin, Y. Wang, B. Ren, PatDNN: Achieving Real-Time Dnn Execution on Mobile Devices with Pattern-Based Weight Pruning, in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
  • Ma, F-M. Guo, W. Niu, X. Lin, J. Tang, K. Ma, B. Ren, Wang, PCONV: The Missing but Desirable Sparsity in Dnn Weight Pruning for Real-Time Execution on Mobile Device, AAAI Conference on Artificial Intelligence (AAAI), 2020
  • R. Cai, A. Ren, O. Chen, N. Liu, C. Ding, X. Qian, J. Han, W. Luo, N. Yoshikawa, Y. Wang, A Stochastic-Computing Based Deep Learning Framework Using Adiabatic Quantum-Flux-Parametron Superconducting Technology, in Proceedings of International Symposium on Computer Architecture (ISCA), 2019
prof next to network rack


Apr 22, 2022

ECE’s Wang and Collaborators Awarded $15M by NSF for Developing Superconducting Technology for Faster, More Efficient Computing

Yanzhi Wang, assistant professor, electrical and computer engineering (ECE), is part of a multi-university team that was awarded a $15 million, six-year grant from the National Science Foundation’s Expeditions in Computing program. With collaborators from the University of Southern California, Cornell University, Auburn University, and the University of Rochester, Wang is exploring the use of novel superconductor electronics as a viable next step in computing technology.


Apr 15, 2022

Faculty and Staff Awards 2022

Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2021-2022 academic school year.


Dec 23, 2021

COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide

The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]

Qi Wang, Yanzhi Wang, and Amy Mueller


Sep 02, 2021

$1.5M NSF Award for Real-Time Mobile Air Quality Monitoring and Intervention

CEE Assistant Professor Qi Ryan Wang is leading a $1.5M NSF grant, in collaboration with ECE Assistant Professor Yanzhi Wang, CEE/MES Assistant Professor Amy Mueller, CAMD Associate Professor Brooke Foucault Welles, and Adrienne Katner from the LA State University Health Science Center, to work on “Toxic-Free Footprints to Improve Community Health against Respiratory Hazards.”

Yanzhi Wang


Aug 10, 2021

Spin Out Company from ECE Lab Receives NSF SBIR Phase I Funding

ECE Assistant Professor Yanzhi Wang is co-founder of a startup company CoCoPIE, LLC that was awarded a $250K Small Business Innovation Research Phase I NSF grant for “Enabling Real-Time AI on End Devices through Compression-Compilation Co-Design.”


Jun 01, 2021

The CoCoPIE Framework from Yanzhi Wang’s Group Featured in Communications of the ACM

The CoCoPIE framework from ECE Assistant Professor Yanzhi Wang’s group is reported in the featured article “CoCoPIE: Enabling Real-Time AI on Off-the-Shelf Mobile Devices via Compression-Compilation Co-Design” in Communications of the ACM.

Geng Yuan


Jun 01, 2021

ECE Research Paper Nominated for DATE Best Paper Award

Computer engineering PhD student Geng Yuan, PhD’23, and ECE Assistant Professor Yanzhi Wang’s research paper on “TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators” was nominated for the Best Paper Award at Design Automation and Test Conference in Europe (DATE).

Yanzhi Wang


May 13, 2021

Yanzhi Wang Awarded Best Paper at ICLR Workshop

ECE Assistant Professor Yanzhi Wang was awarded the Army Research Office Young Investigator Award (YIP) through the US Army Research Laboratory for his proposal entitled “PatDNN: Towards 100X Acceleration and Real-Time DNN Execution on Mobile Platforms.”

Yanzhi Wang


Apr 15, 2021

Wang Receives IEEE TCSDM Early-Career Award

ECE Assistant Professor Yanzhi Wang received the IEEE Technical Committee on Secure and Dependable Measurement (TCSDM) Early-Career Award for his “contribution to deep learning model compression and real-time, mobile deep learning AI acceleration for precise calibration.”

Malith Jayaweera


Mar 03, 2021

ECE PhD Student Wins 1st Place at CGO 2021

Computer Engineering PhD student Malith Jayaweera won First Place in the student research competition at the International Symposium on Code Generation and Optimization (CGO) 2021 for his research on “Data vs Instructions: Runtime Code Generation for Convolutions”.

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