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.

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

Latest News

Apr 6, 2024: ARGO is nominated as the best paper of IPDPS 2024 (4 out of 88 papers). ARGO is now publicly available on the Deep Grap Library.

Dec 19, 2023: Our work ARGO has been accepted to IPDPS 2024 during the first round decesion! Special thanks to Intel Labs for the collaboration.

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.