Wenqian Dong

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning

by stmorale | Dec 9, 2022 | Publications

[ASPLOS’23] Shuangyan Yang, Mingjia Zhang, Wenqian Dong , and Dong Li; In 28th International Conference on Architectural Support for Programming Languages and Operating Systems (acceptance rate: %)

Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation

by stmorale | Nov 12, 2022 | Publications

[VLDB’21] Jie Liu, Wenqian Dong , Qingqing Zhou, and Dong Li; In 47th International Conference on Very Large Data Bases (acceptance rate: 24%)

MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System

by stmorale | Oct 12, 2022 | Publications

[ICS’21] Zhen Xie, Wenqian Dong, Jie Liu, Ivy Peng, Yanbao Ma and Dong Li; In 47th International Conference on Very Large Data Bases (acceptance rate: 24%)

Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU

by stmorale | Sep 12, 2022 | Publications

[EuroSys’21] Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu and Dong Li; ACM 16th European Conference on Computer Systems, 2021 (acceptance rate: 20.9%)

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning

by stmorale | Sep 8, 2022 | News

Our paper “Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning” is accepted in ASPLOS’23.