Lei Zhao

I started my Ph.D. study from 2014 at the University of Pittsburgh under the supervision of Prof. Youtao Zhang. Prior to that, I received my B.S. degree of Software Engineering in 2011 and M.S. degree of Computer Science in 2014 from Northwestern Polytechnical University in China. I will be on the job market at the beginning of 2021. You are welcome to learn more about me from my research and my rencent publications, and feel free to contact me if you have any questions about either me or my work.

Research

My research interests lie in the fields of emerging memory technology and accelerators for machine learning (ML) algorithms. Currently I am working on secure and privacy-preserving ML accelerator designs.

Nonvolatile memory

Secure ML accelerator

ML algorithms, especially deep neural networks (DNNs), have been widely used in commercial applications. Training DNNs demands both high computing capability and massive (private) dataset. Thus, a trained commercial ML application should be treated as an intellectual property (IP). There are two kinds of data that need to be protected in a DNN model - input data and model weights.

Publications

Conference Papers.

Flipping Bits to Share Crossbars in ReRAM-Based DNN Accelerator

Lei Zhao, Youtao Zhang, and Jun Yang
International Conference on Computer Design, 2021.
Best paper candidate
[Paper] [Slides]

SCA: A Secure CNN Accelerator for both Training and Inference

Lei Zhao, Youtao Zhang, and Jun Yang
Design Automation Conference, 2020.
[Paper] [Slides]

RFAcc: A 3D ReRAM Associative Array based Random Forest Accelerator

Lei Zhao, Quan Deng, Youtao Zhang, and Jun Yang
International Conference on Supercomputing, 2019.
[Paper] [Slides]

AEP: An Error-bearing Neural Network Accelerator for Energy Efficiency and Model Protection

Lei Zhao, Youtao Zhang, and Jun Yang
International Conference On Computer Aided Design, 2017.
[Paper] [Slides]

Speeding Up Crossbar Resistive Memory by Exploiting In-memory Data Patterns

Wen Wen, Lei Zhao, Youtao Zhang, and Jun Yang
International Conference On Computer Aided Design, 2017.
[Paper]

Mitigating Shift-Based Covert-Channel Attacks in Racetrack Last Level Caches

Lei Zhao, Youtao Zhang, and Jun Yang
Non-Volatile Memory Systems and Applications Symposium, 2017.
[Paper] [Slides]

Constructing Fast and Energy Efficient 1TnR based ReRAM Crossbar Memory

Lei Zhao, Lei Jiang, Youtao Zhang, Nong Xiao, and Jun Yang
International Symposium on Quality Electronic Design, 2017.
Best paper candidate
[Paper] [Slides]

Exploit Common Source-Line to Construct Energy Efficient Domain Wall Memory based Caches

Xianwei Zhang, Lei Zhao, Youtao Zhang, and Jun Yang
International Conference on Computer Design, 2015.
[Paper]

Journal Papers.

Privacy-preserving Time Series Medical Images Analysis Using a Hybrid Deep Learning Framework

Zijie Yue, Shuai Ding, Lei Zhao, Youtao Zhang, Zehong Cao, M. Tanveer, Alireza Jolfaei and Xi Zheng
ACM Transactions on Internet Technology, 2020.
[Paper]

Exploiting In-memory Data Patterns for Performance Improvement on Crossbar Resistive Memory

Wen Wen, Lei Zhao, Youtao Zhang, and Jun Yang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019.
[Paper]

Contact Me

210 S. Bouquet Street
Department of Computer Science
University of Pittsburgh
Pittsburgh, PA 15260-9161, USA
Office: 6514
E-mail: leizhao@cs.pitt.edu

[Paper Reading]   [.vimrc]