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
Energy-efficient and high-performance implementations of deep learning and artificial intelligence systems; neuromorphic computing and non-von Neumann computing paradigms; cyber-security in deep learning systems; emerging deep learning algorithms/systems such as Bayesian neural networks, generative adversarial networks (GANs) and deep reinforcement learning
Education
- PhD, University of Southern California, 2014
Research Overview
Energy-efficient and high-performance implementations of deep learning and artificial intelligence systems; neuromorphic computing and non-von Neumann computing paradigms; cyber-security in deep learning systems; emerging deep learning algorithms/systems such as Bayesian neural networks, generative adversarial networks (GANs) and deep reinforcement learning
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 19, 2019
Ioannidis to Lead $1M NSF Grant for Real-Time Learning for Next Generation Wireless Systems
ECE Assistant Professor Stratis Ioannidis is leading a $1M NSF grant, with Professors Jennifer Dy, Tommaso Melodia, Associate Professor Kaushik Chowdhury, and Assistant Professor Yanzhi Wang, to develop “Efficient and Adaptive Real-Time Learning for Next Generation Wireless Systems”.
Sep 09, 2019
Wang Is Part of a Collaborative NSF Grant for Deep Neural Networks
ECE Assistant Professor Yanzhi Wang is the Northeastern lead as part of a $1.2M NSF grant that is in collaboration with Xuehai Qian and Viktor Prasanna from the University of Southern California, to create a “FASTLEAP: FPGA based compact Deep Learning Platform”.
Aug 23, 2019
Wang Receives $500K NSF Grant to Improve VR Streaming Performance and Bandwidth
ECE Assistant Professor Yanzhi Wang (PI) has been awarded a $500K award from the National Science Foundation, titled “CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming.”
May 20, 2019
ECE PhD Candidate Caiwen Ding to become an Assistant Professor at University of Connecticut
Our ECE PhD candidate Caiwen Ding (advisor Prof. Yanzhi Wang) has accepted the offer as an Assistant Professor in Department of Computer Science and Engineering at University of Connecticut, starting Fall 2019. He works on hardware acceleration of deep learning algorithms, deep learning applications, cyber-physical systems, etc.
Mar 12, 2019
Providing Students with Access to Superconducting Electronics and Circuits
ECE Assistant Professor Yanzhi Wang and ECE Chair Srinivas Tadigadapa were awarded a $300K NSF IRES grant for a “U.S.-Japan International Research Experience for Students on Superconducting Electronics.”
Aug 30, 2018
New Faculty Spotlight: Yanzhi Wang
Yanzhi Wang joins the Electrical & Computer Engineering department in August 2018 as an Assistant Professor.