I am a fifth-year Ph.D. student in the School of Electrical and Computer Engineering at Cornell University, supervised by Professor Zhiru Zhang. I am working on hardware and systems support for efficient graph learning.

I received my bachelor’s degree from Beihang University in 2017.

email: yh457 -at- cornell.edu

Experience

• AWS, Palo Alto, Sept. 2019 – Dec. 2019
  Research intern with Dr. Yida Wang and Dr. Mu Li

• TuSimple, Beijing, Feb. 2017 – Dec. 2017
  Research intern with Dr. Jiangming Jin and Dr. Naiyan Wang

Publications

Google Scholar

• GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs
  Yuwei Hu, Yixiao Du, Ecenur Ustun, Zhiru Zhang
  International Conference on Computer-Aided Design (ICCAD), 2021
  [github] [slides] [video]

• FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
  Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2020
  [github] [slides] [video]

• BitFlow: Exploiting Vector Parallelism for Binary Neural Networks on CPU
  Yuwei Hu, Jidong Zhai, Dinghua Li, Yifan Gong, Yuhao Zhu, Wei Liu, Lei Su, Jiangming Jin
  International Parallel and Distributed Processing Symposium (IPDPS), 2018

• Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
  Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Chris De Sa, Zhiru Zhang
  International Conference on Machine Learning (ICML), 2019
  [github]

• Building Efficient Deep Neural Networks with Unitary Group Convolutions
  Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Chris De Sa, Zhiru Zhang
  The Conference on Computer Vision and Pattern Recognition (CVPR), 2019

• HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing
  Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, Zhiru Zhang
  International Symposium on Field-Programmable Gate Arrays (FPGA), 2019
  [github]

• TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
  Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
  USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2018
  [github]