Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; Qidong Su; Minjie Wang; Chao Ma 025; George Karypis (CoRR, 2021)

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; George Karypis (KDD, 2022)

Genetic Algorithm Based EFSM Regression Test Sequence Generation. - Jiahao Li; Chengru Yang; Yichen Wang (QRS Companion, 2023)

Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression. - Yuxin Ma; Ping Gong 009; Tianming Wu; Jiawei Yi; Chengru Yang; Cheng Li 001; Qirong Peng; Guiming Xie; Yongcheng Bao; Haifeng Liu; Yinlong Xu (Proc. VLDB Endow., 2024)