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, Hardware Accelerators/HPC, and Heterogeneous Computing. I have published several papers in HPC-, ASIC-, and FPGA-related conferences in the past two years. Please refer to the publication page for more details.

In addition to research interests, I’m also interested in video editing and photography. Check out my vlogs and photos.

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. During my one-year internship, I was fortunate enough to patent my work as first author.

Latest News

Dec 18, 2022: Our work HyScale-GNN has been accepted to IPDPS 2023 during the first round decesion (~10% acceptance rate)!

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.