Publications

Ke Meng, Liang Geng, Xue Li, Qian Tao, Wenyuan Yu, Jingren Zhou (2022). Efficient Multi-GPU Graph Processing with Remote Work Stealing. ICDE'23.

Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu (2022). Linking Entities across Relations and Graphs. ICDE'22.

Mengbai Xiao, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang (2022). An RDMA-enabled In-memory Computing Platform for R-tree on Clusters. TSAS'22.

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Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou (2021). Automating Incremental Graph Processing with Flexible Memoization. VLDB'21.

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Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu (2020). Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing. SIGMOD'20.

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Mengbai Xiao, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang (2019). Catfish: Adaptive RDMA-enabled R-Tree for Low Latency and High Throughput. ICDCS'19.

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Simon Zhang, Mengbai Xiao, Chengxin Guo, Liang Geng, Hao Wang, Xiaodong Zhang (2019). HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction. ICS'19.

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Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, Xiaodong Zhang (2019). SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU. PPoPP'19.

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