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Zhaokang Wang
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2020 – today
- 2023
- [j9]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): 3093-3118 (2023) - [c12]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: 319-327 - [c11]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: 620-627 - [c10]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: 1-10 - [c9]Zewen Sun
BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework. ESEC/SIGSOFT FSE 2023: 1431-1443 - 2022
- [j8]Rong Gu
Octopus-DF: Unified DataFrame-based cross-platform data analytic system. Parallel Comput. 110: 102879 (2022) - [c8]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: 90-97 - 2021
- [j7]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: 165-191 (2021) - [j6]Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu
SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. J. Parallel Distributed Comput. 156: 132-147 (2021) - [j5]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: 29-46 (2021) - [j4]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): 1676-1699 (2021) - [j3]Rong Gu
Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Trans. Parallel Distributed Syst. 32(4): 867-883 (2021) - [j2]Zhaokang Wang
Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. IEEE Trans. Parallel Distributed Syst. 32(12): 2953-2969 (2021) - [c7]Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang:
UniGPS: A Unified Programming Framework for Distributed Graph Processing. ICPADS 2021: 114-121 - [i2]Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang:
UniGPS: A Unified Programming Framework for Distributed Graph Processing. CoRR abs/2108.01922 (2021) - 2020
- [i1]Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang:
Distributed Subgraph Enumeration via Backtracking-based Framework. CoRR abs/2006.12819 (2020)
2010 – 2019
- 2019
- [c6]Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang:
BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. ICDE 2019: 136-147 - [c5]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: 771-780 - 2018
- [j1]Rong Gu
Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. IEEE Trans. Parallel Distributed Syst. 29(10): 2333-2345 (2018) - 2015
- [c4]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: 2327-2336 - [c3]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: 562-567 - [c2]Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang:
iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) 2015: 104-117 - 2014
- [c1]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: 1622-1630
Coauthor Index
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