Improving resource utilization by timely fine-grained scheduling. - Tatiana Jin; Zhenkun Cai; Boyang Li 016; Chengguang Zheng; Guanxian Jiang; James Cheng (EuroSys, 2020)

Seastar: vertex-centric programming for graph neural networks. - Yidi Wu 001; Kaihao Ma; Zhenkun Cai; Tatiana Jin; Boyang Li 016; Chengguang Zheng; James Cheng; Fan Yu (EuroSys, 2021)

HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization. - Yuntao Gui; Yidi Wu 001; Han Yang 002; Tatiana Jin; Boyang Li 016; Qihui Zhou; James Cheng; Fan Yu (SC, 2022)

VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs. - Guanxian Jiang; Qihui Zhou; Tatiana Jin; Boyang Li 016; Yunjian Zhao; Yichao Li; James Cheng (SC, 2022)

Circinus: Fast Redundancy-Reduced Subgraph Matching. - Tatiana Jin; Boyang Li 016; Yichao Li; Qihui Zhou; Qianli Ma 003; Yunjian Zhao; Hongzhi Chen; James Cheng (Proc. ACM Manag. Data, 2023)

Wings: Efficient Online Multiple Graph Pattern Matching. - Guanxian Jiang; Yunjian Zhao; Yichao Li; Zhi Liu; Tatiana Jin; Wanying Zheng; Boyang Li 016; James Cheng (ICDE, 2024)