I am a Ph.D. candidate in FPGA/Parallel Computing Lab at University of Southern California, advised by Prof. Prasanna. I’m interested in Machine Learning Systems, Heterogeneous Computing, and Graph Neural Networks. My research focus lies at the intersection of Machine Learning and High-Performance Computing Systems. Please refer to the publication page for more details.
I completed 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 patented my work as first author.
Nov 1, 2023: Passed my qualify exam!
Jan 10, 2022: I will be serving as the Registration Chair in IEEE FCCM 2023, see you in LA.
Dec 18, 2022: Our work HyScale-GNN has been accepted to IPDPS 2023 during the first round decesion (~10% acceptance rate)!
Nov 23, 2021: Our work HP-GNN has been accepted to ACM FPGA 2022.