Gangda (Danny) Deng
A first-year CS Ph.D. student @ USC
Github: @Hydrapse
Email me: gangdade@usc.edu
A first-year CS Ph.D. student @ USC
Github: @Hydrapse
Email me: gangdade@usc.edu
I am a first-year Ph.D. in Computer Science at the University of Southern California, supervised by Prof. Viktor Prasanna. Before that, I got my B.S. degree from Central South University, advised by Prof. Ning Gui.
My research interest is to improve the accuracy, efficiency, and scalability of graph learning from the perspective of ML algorithms and software systems. Specifically, I focus on the following areas:
Yi-Chien Lin*, Gangda Deng*, Viktor Prasanna
A Unified CPU-GPU Protocol for GNN Training
CF 2024
Gangda Deng*, Hongkuan Zhou*, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor Prasanna TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. Code IPDPS 2024
Gangda Deng*, Ömer Faruk Akgül*, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor Prasanna An Efficient Distributed Graph Engine for Deep Learning on Graphs. Code MLG-HPCE Workshop at SC 2023
Chenhuan Yu, Gangda Deng, Ning Gui PairGNNs: enabling graph neural networks with pair-based view Neural Computing and Applications 2023