Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor. - Lei Jin; Zhaokang Wang; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (IPDPS Workshops, 2014)

Efficient large scale distributed matrix computation with spark. - Rong Gu; Yun Tang; Zhaokang Wang; Shuai Wang; Xusen Yin; Chunfeng Yuan; Yihua Huang 001 (IEEE BigData, 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 001 (COMPSAC Workshops, 2015)

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. - Zhaokang Wang; Shiqing Fan; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (ICA3PP (4), 2015)

Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. - Rong Gu; Yu-Fa Zhou; Zhaokang Wang; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2018)

BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. - Zhaokang Wang; Rong Gu; Weiwei Hu; Chunfeng Yuan; Yihua Huang 001 (ICDE, 2019)

BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. - Zhiqiang Zuo 002; Rong Gu; Xi Jiang; Zhaokang Wang; Yihua Huang 001; Linzhang Wang; Xuandong Li (IPDPS, 2019)

Distributed Subgraph Enumeration via Backtracking-based Framework. - Zhaokang Wang; Weiwei Hu; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (CoRR, 2020)

UniGPS: A Unified Programming Framework for Distributed Graph Processing. - Zhaokang Wang; Junhong Li; Yifan Qi; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 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 001 (Neurocomputing, 2021)

SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. - Rong Gu; Yang Qi; Tongyu Wu; Zhaokang Wang; Xiaolong Xu 001; Chunfeng Yuan; Yihua Huang 001 (J. Parallel Distributed Comput., 2021)

VSIM: Distributed local structural vertex similarity calculation on big graphs. - Zhaokang Wang; Shen Wang; Junhong Li; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (J. Parallel Distributed Comput., 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 001 (Softw. Pract. Exp., 2021)

Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. - Rong Gu; Zhiqiang Zuo 002; Xi Jiang; Han Yin; Zhaokang Wang; Linzhang Wang; Xuandong Li; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. - Zhaokang Wang; Weiwei Hu; Guowang Chen; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2021)

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 001; Yihua Huang 001 (CSE, 2022)

Integrity Assurance Method of Multi-Keyword Query for Encrypted Outsourced Data. - Ling Wang; Shan Ji; Zhaokang Wang; Xiaowan Wang; Ghulam Mohiuddin; Yongjun Ren (Intell. Autom. Soft Comput., 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 001 (Parallel Comput., 2022)

Parallel Integrity Authentication Data Structure Construction for Encrypted Range Queries. - Zhaokang Wang; Jiahui Pan; Lu Zhou; Zhonghui Zhang; Caocong Ji (ISPA/BDCloud/SocialCom/SustainCom, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. - Rong Gu; Xiaofei Chen; Haipeng Dai 001; Shulin Wang; Zhaokang Wang; Yaofeng Tu; Yihua Huang 001; Guihai Chen (INFOCOM, 2023)

BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework. - Zewen Sun; Duanchen Xu; Yiyu Zhang; Yun Qi; Yueyang Wang; Zhiqiang Zuo 002; Zhaokang Wang; Yue Li 006; Xuandong Li; Qingda Lu; Wenwen Peng; Shengjian Guo (ESEC/SIGSOFT FSE, 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 001 (World Wide Web (WWW), 2023)

Scaling Inter-procedural Dataflow Analysis on the Cloud. - Zewen Sun; Yujin Zhang; Duanchen Xu; Yiyu Zhang; Yun Qi; Yueyang Wang; Yi Li; Zhaokang Wang; Yue Li 006; Xuandong Li; Zhiqiang Zuo 002; Qingda Lu; et al. (CoRR, 2024)

Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression. - Rong Gu; Shulin Wang; Haipeng Dai 001; Xiaofei Chen; Zhaokang Wang; Wenjie Bao; Jiaqi Zheng 001; Yaofeng Tu; Yihua Huang 001; Lianyong Qi; Xiaolong Xu 001; Wanchun Dou; et al. (IEEE/ACM Trans. Netw., 2024)