Yanzhi Wang
Associate Professor,
Electrical and Computer Engineering
Contact
- yanz.wang@northeastern.edu
- 329 Dana
360 Huntington Ave
Boston, MA 02115
Office
- 617.373.8805
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
- 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
- DISCoVER (Design & Integration of Superconductive Computation for Ventures beyond Exascale Realization)
- – Co-Principal Investigator, National Science Foundation
- Toxic-Free Footprints to Improve Community Health against Respiratory Hazards
- – Co-Principal Investigator, National Science Foundation
- CNS Core: Small: Collaborative: Content-based Viewport Prediction Framework for Live Virtual Reality Streaming
- – Principal Investigator, National Science Foundation
- PatDNN: Towards 100X Acceleration and Real-Time DNN Execution on Mobile Platforms
- – Principal Investigator (YIP), Army Research Office
- SPX: Collaborative Research: FASTLEAP: FPGA based Compact Deep Learning Platform
- – Principal Investigator, National Science Foundation
Research Centers and Institutes
Department Research Areas
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
Dec 02, 2022
Wang to Organize DACC Workshop at AAAI 2023
ECE Associate Professor Yanzhi Wang will organize the First Workshop on DL-Hardware Co-Design for AI Acceleration to be held in February 2023 at the 2023 AAAI Conference on Artificial Intelligence (AAAI 2023).
Dec 02, 2022
Wang Receives APSIPA Distinguished Industrial Leader Award
ECE Associate Professor Yanzhi Wang received the Asia Pacific Signal and Information Processing Association (APSIPA) Distinguished Industrial Leader award at the APSIPA Annual Summit and Conference 2022 held in November 2022.
Nov 02, 2022
2022 Stanford University Annual Assessment of Author Citations
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 […]
Oct 25, 2022
Wang organizes the HALO workshop at ICCAD 2022
Yanzhi Wang, associate professor at ECE, organized the Workshop on Hardware and Algorithms for Learning On-a-chip (HALO) being held in November 2022 at the 2022 International Conference on Computer-Aided Design (ICCAD 2022).
Oct 25, 2022
Wang serves as Thrust Leader in NSF Expeditions in Computing
Yanzhi Wang, associate professor at ECE, serves as Thrust Leader for Thrust 5 in the NSF Expeditions in Computing “DISCoVER: Design and Integration of Superconducting Computation for Ventures beyond Exascale Realization“.
Aug 02, 2022
Wang’s Research Paper Receives Honorary Mention at ICLR 2022 Workshop
ECE Associate Professor Yanzhi Wang was awarded an Honorary Mention for his paper “Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets” at the International Conference on Machine Learning (ICML 2022) Workshop on Hardware-Aware Efficient Training (HAET) held on July 23, 2022.
Jul 25, 2022
Wang organized the ROAD4NN workshop at DAC 2022
Yanzhi Wang, associate professor at ECE, organized the ROAD4NN workshop: International Workshop on Research Open Automatic Design for Neural Networks held on July 10, 2022, at the Design Automation Conference (DAC) 2022. Over 100 virtual attendees registered for the workshop. Wang also served in the Early Career Workshop at DAC 2022.
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 […]