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
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
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
Department Research Areas
Selected Publications
- R. Cai, A. Ren, N. Liu, X. Qian, M. Pedram, Y. Wang, VIBNN: Hardware Celeration of Bayesian Neural Networks, ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2018
- Y. Wang, C. Ding, Z. Li, G. Yuan, Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework, The Thirty Second AAAI Conference on Artificial Intelligence (AAAI), 2018
- Z. Zhao, K. Pugdeethosapol, S. Lin, Z. Li, C. Ding, Y. Wang, Q. Qiu, Learning Topics using Semantic Locality, International Conference on Pattern Recognition (ICPR), 2018
- X. Ma, Y. Zhang, G. Yuan, A. Ren, Z. Li, J. Han, J. Hu, Y. Wang, An Area and Energy Efficient Design of Domain-Wall Memory Based Deep Convolutional Neural Networks using Stochastic Computing, International Symposium on Quality Electronic Design (ISQED), 2018
- Y. Liu, S. Liu, Y. Wang, F. Lombardi, J. Han, A Stochastic Computational Multi-Layer Perceptron with Backward Propagation, IEEE Transactions on Computers, 2018
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.
Apr 13, 2020
ECE Visiting Student/Postdoc Chen Pan to become an Assistant Professor at Texas A&M University, Corpus Christi
The ECE visiting student/postdoc Chen Pan (supervisor Prof. Yanzhi Wang) has accepted the offer as an Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University, Corpus Christi, starting Fall 2020. He works on embedded systems, cyber-physical systems, and embedded AI systems.
Apr 03, 2020
Applying Deep Learning and Physics Modeling to Structures Subjected to Earthquakes
CEE Assistant Professor Hao Sun, ECE Assistant Professor Yanzhi Wang, and CEE Professor & Chair Jerome Hajjar were awarded a $600K NSF grant for “Physics-Reinforced Deep Learning for Structural Metamodeling.”
Mar 13, 2020
ECE PhD Candidate Ao Ren to become an Assistant Professor at Clemson University
ECE PhD candidate Ao Ren, advised by Assistant Professor Yanzhi Wang, has accepted an offer as an Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University, starting Fall 2020.
Jan 30, 2020
Running Deep Neural Networks on Mobile Devices
ECE Assistant Professor Yanzhi Wang has developed technology to allow deep neural networks to run on a smartphone or similar-sized device.