Shangkun Li

I am Shangkun Li (李尚坤 in Chinese), a PhD candidate in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Wei Zhang. I am also actively collaborating with Cheng Tan. I am honored to be supported by the Hong Kong PhD Fellowship Scheme (HKPFS). Prior to this, I received my B.S. in Physics from Fudan University in 2024.

My research interests include:

  • Compilers & Programing Languages
  • Dataflow Architectures (e.g., CGRA, Spatial Dataflow Architecture)
  • Reconfigurable Computing

Selected Publications

  • PLDI’26 NEURA: A Unified Compilation Framework for Reconfigurable Dataflow Architectures. Shangkun LI, Jinming GE, Diyuan TAO, Zeyu LI, Jiawei LIANG, Linfeng DU, Xu JIANG, Wei ZHANG*, Cheng TAN*. ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Boulder, USA, June 2026. arXiv

  • DATE’26 A Cluster-Based Distributed Memory Architecture for CGRAs. Shangkun LI, Cheng TAN, Zeyu LI, Jinming GE, Jiawei LIANG, Hao YANG, Linfeng DU, Jiang XU, Wei ZHANG*. Design, Automation & Test in Europe (DATE), Verona, Italy, April 2026.

Awards and Honors

  • Hong Kong PhD Fellowship Scheme (HKPFS, Top 2%), 2024
  • HKUST RedBird Academic Excellence Award, 2024
  • Outstanding Graduate of Shanghai, 2024
  • KLA-Tencor Scholarship (4 out of all undergraduates at Fudan University), 2023
  • National Scholarship (Top 1%), 2022

Academic Services

  • Journal Reviewer: IEEE Transactions on Computer-Aided Design (TCAD) 2025, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 2026/2025
  • Secondary Reviewer: FPGA 2026, DAC 2025, ICCAD 2025, ASP-DAC 2025, FCCM 2025

Teaching

  • ELEC5140 Advanced Computer Architecture, Teaching Assistant, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, 2025 Spring
  • ELEC3310 Digital Fundamentals and System Design, Teaching Assistant, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, 2025 Fall & 2026 Spring

Skiils

  • Programming Languages: C/C++, Python, Verilog, Chisel
  • Tools: MLIR, LLVM, Mathematica, PyMTL, COMSOL