I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at Texas A&M University, supervised by Prof. Jiang Hu. I recieved my B.S. degree in Electrical Engineering from Harbin Institute of Technology, and M.S. degree in Electrical Engineering from Northwestern University.

Research Interests

• Placement Optimization on FPGAs
• Machine Learning in EDA

Publications

• [C4] Hailiang Hu, Donghao Fang, Wuxi Li, Bo Yuan, Jiang Hu. Systolic Array Placement on FPGAs. International Conference on Computer-Aided Design (ICCAD), 2023.
• [C3] Hailiang Hu, Jiang Hu, Fan Zhang, Bing Tian, and Ismail Bustany. Machine-Learning Based Delay Prediction for FPGA Technology Mapping. System Level Interconnect Pathfinding (SLIP), 2022.
• [C2] Donghao Fang, Boyang Zhang, Hailiang Hu, Wuxi Li, Bo Yuan, and Jiang Hu. Global Placement Exploiting Soft 2D Regularity. International Symposium on Physical Design (ISPD), 2022.
• [C1] Yishuang Lin, Rongjian Liang, Yaguang Li, Hailiang Hu, Jiang Hu. Mapping Large Scale Finite Element Computing on to Wafer-Scale Engines. Asia and South Pacific Design Automation Conference (ASP-DAC), 2022.

Experience

• AMD (Xilinx), San Jose, CA
  • Software Development Intern, Vivado Placement Team
  • May. 2023 - Aug. 2023
• AMD (Xilinx), San Jose, CA
  • Software Development Intern, Vivado Synthesis Team
  • May. 2022 - Aug. 2022

Teaching

• [TA] 2023 Fall, ECEN 215: Principles of Electrical Engineering
• [TA] 2023 Fall, ECEN 250: Machine Learning for Electrical Engineers
• [TA] 2023 Spring, ECEN 468/719: Advanced Digital System Design
• [TA] 2022 Fall, ECEN 289: Machine Learning for Electrical Engineers
• [TA] 2022 Spring, ECEN 489/689: FPGA Information Processing Systems
• [TA] 2021 Spring, ECEN 489/689: FPGA Information Processing Systems