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EXPLORE NORTHEASTERN

Yanzhi Wang

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 617.373.8805

Related Links

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

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
Portrait of Wang

Faculty

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”.

Portrait of Wang

Faculty

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.”

Students

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.

Faculty

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.”

Faculty

Aug 30, 2018

New Faculty Spotlight: Yanzhi Wang

Yanzhi Wang joins the Electrical & Computer Engineering department in August 2018 as an Assistant Professor.

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