Yanzhi Wang
Assistant Professor, Electrical and Computer Engineering
Contact
- yanz.wang@northeastern.edu
- 329 Dana
360 Huntington Avenue
Boston, Massachusetts 02115
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
- 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
- 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
Department Research Areas
Selected Publications
- 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
Apr 15, 2021
Wang Receives IEEE TCSDM Early-Career Award
ECE Assistant Professor Yanzhi Wang received the IEEE TCSDM Early-Career Award for his “contribution to deep learning model compression and real-time, mobile deep learning AI acceleration for precise calibration.”
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”.
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.
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.
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.”
Aug 24, 2020
ECE Team won First Place in ISLPED 2020 Design Contest
ECE Assistant Professors Yanzhi Wang and Xue Lin and their graduate students were part of a collaborative Northeastern University and College of William and Mary team that won first place at the design contest at ISLPED 2020 for their demonstration titled, “CoCoPIE: A Framework of Compression-Compilation Co-design Towards Ultra-High Energy Efficiency and Real Time DNN Inference on Mobile Devices.”
Aug 24, 2020
Wang organized the ROAD4NN workshop at DAC 2020
Yanzhi Wang, assistant professor at ECE, organized the ROAD4NN workshop: International Workshop on Research Open Automatic Design for Neural Networks, at DAC 2020. Over 400 virtual attendees registered for the workshop.
Jun 21, 2020
Yanzhi Wang Receives Army Young Investigator Award to Bring Deep Neural Network Machine Learning to Mobile Devices
ECE Assistant Professor Yanzhi Wang has been awarded a prestigious Young Investigator Program Award from the Army Research Office (ARO) on ultra-efficient, real-time DNN acceleration on mobile platforms. The ARO YIP is awarded to outstanding scientists beginning their independent careers to attract them to pursue fundamental research in areas relevant to the Army, to support their research in these areas, and to encourage their teaching and research careers.
Jun 15, 2020
Producing Ultra-High Performing and Energy-Efficient Electronics
ECE Assistant Professor Yanzhi Wang, in collaboration with Massoud Pedram from the University of Southern California, was awarded a $500K NSF grant for “Advanced Circuits, Architectures and Design Automation Technologies for Energy-efficient Single Flux Quantum Logic.”
May 07, 2020
$1M DARPA Grant for Signal Processing in Neural Networks for Wireless IoT
ECE Associate Professor Kaushik Chowdhury, Assistant Professor Pau Closas, Professor Deniz Erdogmus, Professor Tommaso Melodia, and Assistant Professor Yanzhi Wang received $1M funding from DARPA for their project titled Signal Processing in Neural Networks (SPiNN) for Wireless IoT.