DL-MPI: Enabling data locality computation for MPI-based data-intensive applications. - Jiangling Yin; Andrew Foran; Jun Wang 001 (IEEE BigData, 2013)

OBST-based segmentation approach to financial time series. - Yain-Whar Si; Jiangling Yin (Eng. Appl. Artif. Intell., 2013)

DRAW: A New Data-gRouping-AWare Data Placement Scheme for Data Intensive Applications with Interest Locality. - Jun Wang 001; Pengju Shang; Jiangling Yin (Cloud Computing for Data-Intensive Applications, 2014)

SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization. - Jiangling Yin; Jun Wang 001; Wu-chun Feng; Xuhong Zhang 002; Junyao Zhang (HPDC, 2014)

ScalScheduling: A Scalable Scheduling Architecture for MPI-based interactive analysis programs. - Jiangling Yin; Andrew Foran; Xuhong Zhang 002; Jun Wang 001 (ICCCN, 2014)

On Balance among Energy, Performance and Recovery in Storage Systems. - Junyao Zhang; Jiangling Yin; Jun Wang 001; Jian Zhou 004 (ICDCS Workshops, 2014)

Reliability Analysis on Shifted and Random Declustering Block Layouts in Scale-Out Storage Architectures. - Jun Wang 001; Ruijun Wang; Jiangling Yin; Huijun Zhu; Yuanyuan Yang 001 (NAS, 2014)

SDAFT: A novel scalable data access framework for parallel BLAST. - Jiangling Yin; Junyao Zhang; Jun Wang 001; Wu-chun Feng (Parallel Comput., 2014)

Optimize Parallel Data Access in Big Data Processing. - Jiangling Yin; Jun Wang 001 (CCGRID, 2015)

UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow. - Dan Huang 001; Jiangling Yin; Jun Wang 001; Xuhong Zhang 002; Junyao Zhang; Jian Zhou 004 (CloudCom-Asia, 2015)

Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems. - Jiangling Yin; Jun Wang 001; Jian Zhou 004; Tyler Lukasiewicz; Dan Huang 001; Junyao Zhang (IPDPS, 2015)

Experiences in using os-level virtualization for block I/O. - Dan Huang 001; Jun Wang 001; Qing Liu 002; Jiangling Yin; Xuhong Zhang 002; Xunchao Chen (PDSW@SC, 2015)

Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution. - Xuhong Zhang 002; Jiangling Yin; Jun Wang 001; Ruijun Wang; Dan Huang 001 (SmartCity, 2015)

PERP: Attacking the balance among energy, performance and recovery in storage systems. - Junyao Zhang; Qingdong Wang; Jiangling Yin; Jian Zhou 004; Jun Wang 001 (J. Parallel Distributed Comput., 2015)

Taming Big Data Scheduling with Locality-Aware Scheduling. - Mao Ye 008; Jun Wang 001; Jiangling Yin; Dezhi Han (CBD, 2016)

Accelerating I/O Performance of SVM on HDFS. - Mao Ye 008; Jun Wang 001; Jiangling Yin; Xuhong Zhang 002 (CLUSTER, 2016)

DataNet: A Data Distribution-Aware Method for Sub-Dataset Analysis on Distributed File Systems. - Jun Wang 001; Jiangling Yin; Jian Zhou 004; Xuhong Zhang 002; Ruijun Wang (IPDPS, 2016)

Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling. - Xuhong Zhang 002; Jun Wang 001; Jiangling Yin; Shouling Ji (Proc. VLDB Endow., 2016)

SideIO: A Side I/O system framework for hybrid scientific workflow. - Jun Wang 001; Dan Huang 001; Huafeng Wu; Jiangling Yin; Xuhong Zhang 002; Xunchao Chen; Ruijun Wang (J. Parallel Distributed Comput., 2017)

Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution. - Jun Wang 001; Xuhong Zhang 002; Junyao Zhang; Jiangling Yin; Dezhi Han; Ruijun Wang; Dan Huang 001 (J. Parallel Distributed Comput., 2017)

Speed Up Big Data Analytics by Unveiling the Storage Distribution of Sub-Datasets. - Jun Wang 001; Xuhong Zhang 002; Jiangling Yin; Ruijun Wang; Huafeng Wu; Dezhi Han (IEEE Trans. Big Data, 2018)

Achieving Load Balance for Parallel Data Access on Distributed File Systems. - Dan Huang 001; Dezhi Han; Jun Wang 001; Jiangling Yin; Xunchao Chen; Xuhong Zhang 002; Jian Zhou 004; Mao Ye 008 (IEEE Trans. Computers, 2018)

G-SD: Achieving Fast Reverse Lookup using Scalable Declustering Layout in Large-Scale File Systems. - Jun Wang 001; Dezhi Han; Junyao Zhang; Jiangling Yin (IEEE Trans. Cloud Comput., 2018)

An I/O Efficient Distributed Approximation Framework Using Cluster Sampling. - Xuhong Zhang 002; Jun Wang 001; Shouling Ji; Jiangling Yin; Rui Wang 030; Xiaobo Zhou 002; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2019)

ODDS: Optimizing Data-Locality Access for Scientific Data Analysis. - Jun Wang 001; Dezhi Han; Jiangling Yin; Xiaobo Zhou 002; Changjun Jiang (IEEE Trans. Cloud Comput., 2020)

Enhancing Proportional IO Sharing on Containerized Big Data File Systems. - Dan Huang 001; Jun Wang 001; Qing Liu 002; Nong Xiao 001; Huafeng Wu; Jiangling Yin (IEEE Trans. Computers, 2021)