I am a 3rd year Ph.D. student in FPGA/Parallel Computing Lab at University of Southern California, advised by Prof. Prasanna. I’m interested in Graph Neural Networks (GNNs), hardware accelerators, and heterogeneous computing. I have done projects in both FPGA and ASIC, details can be found in the project section of this page or on my GitHub.
I finished my undergraduate study in National Taiwan University (NTU), majored in electrical engineering. I was also an Electrical Engineering Intern at Hewlett-Packard (HP), Taipei.
Sep 14, 2022: Our work on GNN training acceleration on CPU+Multi-FPGA platform has been accepted to CARLA 2022.
Nov 23, 2021: Our work HP-GNN has been accepted to ACM FPGA 2022.