Yanzhi Wang

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 617.373.8805

Related Links

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

Education

  • PhD, University of Southern California, 2014

Honors & Awards

  • 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
Qi Wang, Yanzhi Wang, and Amy Mueller

Faculty

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

Faculty

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.”

Faculty

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

Faculty

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

Faculty

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

Faculty

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

PhD

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”.

Yanzhi Wang

Faculty

Jan 08, 2021

Wang Receives Multiple Funding and Gift Awards from Industry

ECE Assistant Professor Yanzhi Wang received multiple funding and gift awards from industry, including DiDi USA, Kwai USA, Snap Inc., Perception Inc., and Tencent USA.

Yanzhi Wang

Faculty

Jan 06, 2021

Wang organized the SpicyFL workshop at NeurIPS 2020

Yanzhi Wang, assistant professor at ECE, organized the SpicyFL Workshop on Scalability, Privacy, and Security in Federated Learning, at NeurIPS 2020. The workshop has 7 keynote talks, 1 panel, 10 paper presentations, and over 30 lightning talks.

David Kaeli, Yanzhi Wang, Xue Lin, and Devesh Tiwari

Faculty

Sep 16, 2020

Using a Heterogeneous Multi-GPU Cluster to Support Exploration at Scale

ECE Professor David Kaeli and Assistant Professors Yanzhi Wang, Xue Lin, and Devesh Tiwari were awarded a $570K NSF grant for the “Acquisition of a Heterogeneous Multi-GPU Cluster to Support Exploration at Scale.”

View All Related News