Jiajin Liu is a PhD student in computer science at NYU Shanghai. She holds an M.S. degree in computer engineering from New York University (2022) and a B.S. degree in software engineering from Northeastern University, China (2020). Her research interests focus on multimodal graph learning tasks, while her previous work explored packet scheduling problems and software-defined networks.
Publications
- Sifter: An Inversion-Free and Large-Capacity Programmable Packet Scheduler 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) Peixuan Gao, Anthony Dalleggio, Jiajin Liu, Chen Peng, Yang Xu, H. Jonathan Chao
Research Interests
- Multimodal Graph Learning
- Packet Scheduling