GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing. - Haotian Liu; Bo Tang 016; Jiashu Zhang; Yangshen Deng; Xiao Yan 002; Xinying Zheng; Qiaomu Shen; Dan Zeng 002; Zunyao Mao; Chaozu Zhang; Zhengxin You; Zhihao Wang; et al. (SoCC, 2022)

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive. - Haotian Liu; Bo Tang 016; Jiashu Zhang; Yangshen Deng; Xinying Zheng; Qiaomu Shen; Xiao Yan 002; Dan Zeng 002; Zunyao Mao; Chaozu Zhang; Zhengxin You; Zhihao Wang; et al. (SIGMOD Conference, 2022)

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. - Ping Gong 009; Renjie Liu 001; Zunyao Mao; Zhenkun Cai; Xiao Yan 002; Cheng Li 001; Minjie Wang; Zhuozhao Li (SOSP, 2023)

Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. - Fang Wang 012; Xiao Yan 002; Man Lung Yiu; Shuai Li 014; Zunyao Mao; Bo Tang 016 (Proc. ACM Manag. Data, 2023)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. - Minjie Wang; Quan Gan; David Wipf; Zheng Zhang 001; Christos Faloutsos; Weinan Zhang 001; Muhan Zhang; Zhenkun Cai; Jiahang Li 002; Zunyao Mao; Yakun Song; Jianheng Tang; et al. (NeurIPS, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. - Minjie Wang; Quan Gan; David Wipf; Zhenkun Cai; Ning Li 029; Jianheng Tang; Yanlin Zhang; Zizhao Zhang; Zunyao Mao; Yakun Song; Yanbo Wang; Jiahang Li 002; et al. (CoRR, 2024)