Ke-Kun Hu

According to our database, Ke-Kun Hu authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Vertex Partitioning Algorithm for Large-Scale Uncertain Graphs.

Huanqing Cui, Anfu Chang, Jinbin Zhu, Ruixia Liu, Kekun Hu

Concurr. Comput. Pract. Exp., January, 2026

SDGraph: A scalable training system for GNNs with GPU sampling and parallel feature access.

Jianzhi Yu, Shiqi Yang, You Fu, Kekun Hu, Yanhui Wang, Jianguo Liang

Future Gener. Comput. Syst., 2026

Memory access optimization for the dynamics EVP model of the sea ice model on the SW39000 on-chip heterogeneous many-core processor.

Jianzhi Yu, Zhichao Wang, Jianguo Liang, You Fu, Kekun Hu, Yanhui Wang

Future Gener. Comput. Syst., 2026

2025

Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm.

Jie Cao, Cuicui Zhang, Ping Qi, Kekun Hu

J. Cloud Comput., December, 2025

A two-phase streaming edge partitioning algorithm for large-scale uncertain graphs.

Huanqing Cui, Anfu Chang, Kekun Hu, Gang Dong, Jinbin Zhu

Clust. Comput., October, 2025

FrigateBird: Decoupling Metadata/Data Services for Continuously Fast Object Storage.

Yiming Zhang, Kekun Hu, Hailiang Chen, Gang Dong, Rengang Li

IEEE Trans. Serv. Comput., 2025

2023

Hierarchically stacked graph convolution for emotion recognition in conversation.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Qichun Cao, Kekun Hu, Dongdong Jiang

Knowl. Based Syst., March, 2023

2022

Dual graph wavelet neural network for graph-based semi-supervised classification.

Kekun Hu, Gang Dong, Yaqian Zhao, Rengang Li, Dongdong Jiang, Yinyin Chao, Haiwei Liu, Yuan Ge

J. Intell. Fuzzy Syst., 2022

2021

A Clustering-Anonymity Approach for Trajectory Data Publishing Considering both Distance and Direction.

Huo-wen Jiang, Ke-Kun Hu

J. Comput. Inf. Technol., 2021

2020

Growth Scale Prediction of Big Data for Information Systems Based on a Deep Learning SAEP Method.

Wen-Juan Liu, Guosun Zeng, Kekun Hu

IEEE Access, 2020

2019

Placing big graph into cloud for parallel processing with a two-phase community-aware approach.

Kekun Hu, Guosun Zeng

Future Gener. Comput. Syst., 2019

Cluster-Scheduling Big Graph Traversal Task for Parallel Processing in Heterogeneous Cloud Based on DAG Transformation.

Kekun Hu, Guosun Zeng, Shuang Ding, Huo-wen Jiang

IEEE Access, 2019

2018

Partitioning big graph with respect to arbitrary proportions in a streaming manner.

Ke-Kun Hu, Guosun Zeng, Huo-wen Jiang, Wei Wang

Future Gener. Comput. Syst., 2018

2017

A Reliability Analysis for Successful Execution of Parallel DAG Tasks.

Ke-Kun Hu, Guosun Zeng, Wen-Juan Liu, Wei Wang

J. Inf. Sci. Eng., 2017