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I am a second-year PhD at UIUC CS, advised by Prof. Brighten Godfrey. I’ve also had the privilege of working with Prof. Charith Mendis.
My research interests lie in computer systems, machine learning, and the intersection between the two areas. My goal is to build practical and efficient systems (including machine learning and other emerging large-scale workloads). My recent research focuses on applying Machine Learning to System Design. I’m part of LDOS, where we are building the next-generation Machine Learning-based Operating System to drive computing infrastructure toward high efficiency and performance.
Efficient Temporal Graph Learning: with an emphasis on efficient and scalable temporal graph neural network (TGNN) training and the development of user-friendly frameworks for temporal graph learning.
[In submission] TGCache: Reducing Data Movement for Large Scale Temporal GNN Training
Zhao, W., Ge, Y., Sudusinghe, C., Mendis, C.
[CIKM ‘24] Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools
Wang, R., Zhao, W., Sun, D., Mendis, C., Abdelzaher, T.
[SIGIR ‘24] TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-learning
Wang, R., Huang, J., Zhang, Y., Li, J., Wang, Y., Zhao, W., Liu, S., Mendis, C., Abdelzaher, T.
I’ve been lucky to work with Prof. Jian Huang on learning-based software-defined flash infrastructure at UIUC and Prof. Anastasios Kyrillidis on distributed matrix completion at Rice University during my undergrad.
I like coding and I’m committed to open source. Some of my past projects include: ExAllTrue (won the second place in the financial track of DeeCamp 2021), Rapq, MazeGenerator, and ClassChat.
I love music. I am an amateur dancer (Hiphop, Chinese folk dance, Latin, Ballet). I also play some Chinese traditional musical instruments.
My twin sister works on quantum information theory.