Junhuan Yang

Google Scholar Profile (Email: jyang71@gmu.edu)

Personal Homepage ( continuous updating …)

I am currently a Ph.D. student in the Department of Information Sciences and Technology at George Mason University (GMU), advised by Prof. Lei Yang and Prof. Weiwen Jiang. I obtained my master’s and bachelor’s degree from the School of Information and Software Engineering at University of Electronic Science and Technology of China (UESTC).

My research interests lie in Automated Machine Learning (AutoML), Hyperdimensional Computing, Vector Symbolic Architectures, Hardware–Software Codesign, and Machine Learning for Drug Discovery

  • B.Eng. in Software Engineering, University of Electronic Science and Technology of China, China
  • M.S. in Software Engineering, University of Electronic Science and Technology of China, China
  • Ph.D. in Information Technology, George Mason University, USA

Selected Publications

Automated Architecture Search for Brain-inspired Hyperdimensional Computing
Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
Proc. IEEE/ACM First Conference on Automated Machine Learning (Late-Breaking Workshop) 2022.

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen
Proc. IEEE/ACM Computer Society Annual Symposium on VLSI (ISVLSI) 2022

The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang
Proc. IEEE/ACM Design Automation Conference (DAC) 2022.

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.

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery
Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Nov. 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.

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT
Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
ARXIV

Honors & Awards

  • Outstanding master’s thesis, University of Electronic Science and Technology of China, 2018
  • National Scholarship for Graduate Students, Ministry of Education of China, 2017
  • Postgraduate Students First-Class Scholarship, University of Electronic Science and Technology of China, 2017
  • Outstanding student, University of Electronic Science and Technology of China, 2017
  • National Scholarship for Graduate Students, Ministry of Education of China, 2016
  • Postgraduate Students First-Class Scholarship, University of Electronic Science and Technology of China, 2016
  • Outstanding student, University of Electronic Science and Technology of China, 2016
  • Outstanding individual in social practice, University of Electronic Science and Technology of China, 2013

Teaching

  • IT209-001 and IT209-002, Introduction to Object Oriented Programming, Teaching Assistant, GMU, 2023 Spring
  • IT209-001 and IT209-002, Introduction to Object Oriented Programming, Teaching Assistant, GMU, 2022 Fall

Contact

  • Email: jyang71 [AT] gmu [DOT] edu
  • Address: 3231, Nguyen Engineering Building, 4511 Patriot Circle, Fairfax, Virginia, 22030