Zhaokang Wang

According to our database, Zhaokang Wang authored at least 22 papers between 2014 and 2023.

Collaborative distances:

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

2023

Coral: federated query join order optimization based on deep reinforcement learning.

Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang

World Wide Web (WWW), September, 2023

BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework.

Zewen Sun, Duanchen Xu, Yiyu Zhang, Yun Qi, Yueyang Wang, Zhiqiang Zuo, Zhaokang Wang, Yue Li, Xuandong Li, Qingda Lu, Wenwen Peng, Shengjian Guo

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression.

Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen

Proceedings of the IEEE INFOCOM 2023, 2023

Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs.

Suhui Wangzhang, Ruizhang Yang, Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Parallel Integrity Authentication Data Structure Construction for Encrypted Range Queries.

Zhaokang Wang, Jiahui Pan, Lu Zhou, Zhonghui Zhang, Caocong Ji

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Octopus-DF: Unified DataFrame-based cross-platform data analytic system.

Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang

Parallel Comput., 2022

Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization.

Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang

Proceedings of the 25th IEEE International Conference on Computational Science and Engineering, 2022

2021

Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework.

Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2021

Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation.

Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2021

Alchemy: Distributed financial quantitative analysis system with high-level programming model.

Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang

Softw. Pract. Exp., 2021

VSIM: Distributed local structural vertex similarity calculation on big graphs.

Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang

J. Parallel Distributed Comput., 2021

SparkDQ: Efficient generic big data quality management on distributed data-parallel computation.

Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang

J. Parallel Distributed Comput., 2021

Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs.

Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang

Neurocomputing, 2021

UniGPS: A Unified Programming Framework for Distributed Graph Processing.

Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Distributed Subgraph Enumeration via Backtracking-based Framework.

Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang

CoRR, 2020

2019

BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud.

Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework.

Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data.

Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2018

2015

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R.

Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics.

Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Efficient large scale distributed matrix computation with spark.

Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor.

Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014