Zhaokang Wang

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Distributed Data

Parallel Computation

Top Venues

IEEE Trans. Parallel Distributed Syst.

ISPA/BDCloud/SocialCom/SustainCom

J. Parallel Distributed Comput.

Publications

Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang
Coral: federated query join order optimization based on deep reinforcement learning. World Wide Web (WWW) 26 (5) (2023)
Suhui Wangzhang, Ruizhang Yang, Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang
Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs. ISPA/BDCloud/SocialCom/SustainCom (2023)
Zhaokang Wang, Jiahui Pan, Lu Zhou, Zhonghui Zhang, Caocong Ji
Parallel Integrity Authentication Data Structure Construction for Encrypted Range Queries. ISPA/BDCloud/SocialCom/SustainCom (2023)
Zewen Sun, Duanchen Xu, Yiyu Zhang, Yun Qi, Yueyang Wang, Zhiqiang Zuo, Zhaokang Wang, Yue Li, Xuandong Li, Qingda Lu, Wenwen Peng, Shengjian Guo
BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework. ESEC/SIGSOFT FSE (2023)
Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen
Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. INFOCOM (2023)
Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang
Octopus-DF: Unified DataFrame-based cross-platform data analytic system. Parallel Comput. 110 (2022)
Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang
Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization. CSE (2022)
Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
UniGPS: A Unified Programming Framework for Distributed Graph Processing. CoRR (2021)
Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang
Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs. Neurocomputing 446 (2021)
Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang
VSIM: Distributed local structural vertex similarity calculation on big graphs. J. Parallel Distributed Comput. 158 (2021)
Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang
Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. IEEE Trans. Parallel Distributed Syst. 32 (12) (2021)
Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
UniGPS: A Unified Programming Framework for Distributed Graph Processing. ICPADS (2021)
Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang
Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang
SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. J. Parallel Distributed Comput. 156 (2021)
Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang
Alchemy: Distributed financial quantitative analysis system with high-level programming model. Softw. Pract. Exp. 51 (8) (2021)
Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang
Distributed Subgraph Enumeration via Backtracking-based Framework. CoRR (2020)
Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang
BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. ICDE (2019)
Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li
BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. IPDPS (2019)
Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang
Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. IEEE Trans. Parallel Distributed Syst. 29 (10) (2018)
Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang
Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics. COMPSAC Workshops (2015)
Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang
iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) (2015)
Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang
Efficient large scale distributed matrix computation with spark. IEEE BigData (2015)
Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang
Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor. IPDPS Workshops (2014)