Zhepeng Wang

Google Scholar Profile (Email: zwang48@gmu.edu)

I am currently a Ph.D. student in the Department of Electrical and Computer Engineering at George Mason University (GMU), advised by Prof. Weiwen Jiang. I obtained my master degree from the Department of Electrical and Computer Engineering at University of Pittsburgh (PITT) in 2021. And I received my bachelor degree from the School of Computer Science and Technology at Harbin Institute of Technology (HIT) in 2018.

My research interests lie in Quantum Machine Learning for quantum computers and On-Device AI for classical computers.

  • B.Eng. in Computer Science, Harbin Institute of Technology, China, 2014.9 - 2018.6
  • M.S. in Electrical and Computer Engineering, University of Pittsburgh, USA, 2018.8 - 2021.8
  • Ph.D. in Electrical and Computer Engineering, George Mason University, USA, 2021.8 - Current

Publications

Quantum Computing

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 2021.

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 2021.

On-Device AI

Enabling On-Device Self-supervised Contrastive Learning With Selective Data Contrast
Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu
Proc. IEEE/ACM Design Automation Conference (DAC), Dec. 2021.

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 2021.

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina James, Yiyu Shi, Jingtong Hu
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 2021.

Federated Contrastive Learning for Volumetric Medical Image Segmentation
Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu
Proc. Medical Image Computing and Computer Assisted Interventions (MICCAI), Sept. 2021.

Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
Proc. International Joint Conference on Artificial Intelligence (IJCAI), Aug. 2021.

Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs
Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, Jingtong Hu
Proc. IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 2021.

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 2020.

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu
International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES) in conjunction with Embedded Systems Week (ESWEEK), Oct. 2020.
Also appears as part of the ESWEEK-TCAD Special Issue, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).

Intermittent Inference with Non-uniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices
Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu
Proc. IEEE/ACM Design Automation Conference (DAC), July 2020.

# Honors & Awards

  • Certificate of Quantum Excellence (100/100), Qiskit Global Summer School on Quantum Machine Learning, 2021
  • Excellent Bachelor Student, Harbin Institute of Technology, 2018
  • National Scholarship, Ministry of Education of China, 2016
  • Fuji Xerox’s Scholarship, Fuji Xerox Co. Ltd., 2015

Teaching

  • ECE 499/590 Machine Learning for Embedded Systems, Teaching Assistant, GMU, 2021 Fall
  • ECE 350 Embedded Systems and Harware Interfaces, Teaching Assistant, GMU, 2021 Fall
  • ECE 0202 Embedded Processors Interface, Teaching Assistant, PITT, 2020 Spring, 2021 Summer
  • ECE 1770 Special Topics: Electronic Microprocessor Systems, Teaching Assistant, PITT, 2019 Spring, 2019 Fall
  • ECE 2120 Hardware Design Methodologies 1, Teaching Assistant, PITT, 2018 Fall

Professional activities

Technical reviewer

  • ACM Transactions on Cyber-Physical Systems (TCPS)
  • IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II)

Invited Speaker

  • Tutorial of QuantumFlow, Embedded Systems Week (ESWEEK), 2021
  • Workshop on Energy-Efficient Machine Learning (E2ML), International Green and Sustainable Computing Conference (ISGC), 2021

Contact

  • Email: zwang48 [AT] gmu [DOT] edu
  • Address: 4104, Nguyen Engineering Building, 4511 Patriot Circle, Fairfax, Virginia, 22030