Kongzhang Hao

collaborators

2 papers

cs.DB2026

Efficient $(I^\pm, I^^{2})$ -core Computation and On-the-fly Query at Billion Scale with GPUs

Qingshuai Feng, Shunyang Li, Kai Wang +3

In bipartite graphs, $(I^\pm, I^^{2})$ -core is a widely used model for cohesive subgraph mining. Specifically, an $(I^\pm, I^^{2})$ -core is a maximal subgraph in which each vertex in the upper lay…

cs.DC2025

Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems

Yuxing Han, Lixiang Chen, Haoyu Wang +5

Distributed stream processing systems rely on the dataflow model to define and execute streaming jobs, organizing computations as Directed Acyclic Graphs (DAGs) of operators. Adjus…

Efficient (I^±,I^2)-core Computation and On-the-fly Query at Billion Scale with GPUs

Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems

Efficient $(I^\pm, I^^{2})$ -core Computation and On-the-fly Query at Billion Scale with GPUs