CV

Education

• Ph.D in University of Michigan, US, 2019-Now
• B.S. in Zhejiang University, China, 2015-2019
  • rank: 1/121
  • GPA: 91/100

Work experience

• Research Intern, Meta Inc. May2022 - Aug 2022
  • Worked on Pytorch 2.0 backend Torchinductor
  • Enabled Torchinductor to codegen from triton template for Convolutional Layer and Fully-connected layer
  • Mentor: Jason Ansel
  • Manager: Peng Wu
• Software Engineering Intern, Twitter Inc. June 2021 - Aug 2021
  • Implement Autovectorization and optimizations in Graal (a JIT compiler)
  • Mentor: Uma Srinivasan
  • Manager: Y.S. Ramakrishna
• Research Assistant, Cornell University July 2019 - Sept 2019
  • High-level synthesis scheduling
  • Supervisor: Professor Zhiru Zhang

Projects

• Temporal Motif Count Estimation Using Spanning Tree Sampling, Aug 2023 - Now
• Accurate and Fast Estimation of Temporal Motifs Using Path Sampling, Sept 2022 - Aug 2023
• BitSET: Bit-Serial Early Termination for Computation Reduction in Convolutional Neural Networks, Jan 2020 - Aug 2022
• Distribution-driven neural network direct quantization, May 2018 - April 2019
• Register-constrained scheduling in high level synthesis, July 2018 - Sept 2018

Honors and Awards

• National Scholarship (rank 1/330), Oct 2016
• First-class Scholarship for Outstanding Students (top 3% of school), Nov 2016
• Zhejiang Provincial Government Scholarship (top 3% of school), Nov 2017
• Second-class Scholarship for Outstanding Students (top 10% of school), Nov 2017
• Wang Guosong Scholarships (The highest honor of the scholarship of EE Department),Oct 2018

Skills

• Computer Languages
  • C++
  • Python
  • C
  • Verilog
  • etc.
• Tools
  • Pytorch
  • Tensorflow
  • VCS
  • etc.

PDF version

For full CV, pdf version is here