Basic Sparse Computations on Data Parallel Computers. - William R. Ferng; Serge G. Petiton; Kesheng Wu (PPSC, 1993)

Sparse Matrix Computations on the CM-5. - Yousef Saad; Kesheng Wu; Serge G. Petiton (PPSC, 1993)

Performance of the CM-5 and Message Passing Primitives. - Kesheng Wu; Yousef Saad (PPSC, 1993)

DQGMRES: a Direct Quasi-minimal Residual Algorithm Based on Incomplete Orthogonalization. - Yousef Saad; Kesheng Wu (Numer. Linear Algebra Appl., 1996)

Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems. - Kesheng Wu; Horst D. Simon (IRREGULAR, 1998)

A new Lanczos method for electronic structure calculations. - Kesheng Wu; Andrew Canning; Horst D. Simon (SC, 1998)

Dynamic Thick Restarting of the Davidson, and the Implicitly Restarted Arnoldi Methods. - Andreas Stathopoulos; Yousef Saad; Kesheng Wu (SIAM J. Sci. Comput., 1998)

An Evaluation of the Parallel Shift-and-Invert Lanczos Method. - Kesheng Wu; Horst D. Simon (PDPTA, 1999)

Parallel Efficiency of the Lanczos Method for Eigenvalue Problems. - Kesheng Wu; Horst D. Simon (PP, 1999)

Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems. - Kesheng Wu; Horst D. Simon (SIAM J. Matrix Anal. Appl., 2000)

A Performance Comparison of bitmap indexes. - Kesheng Wu; Ekow J. Otoo; Arie Shoshani (CIKM, 2001)

Strategies for processing ad hoc queries on large data warehouses. - Kurt Stockinger; Kesheng Wu; Arie Shoshani (DOLAP, 2002)

Compressing Bitmap Indexes for Faster Search Operations. - Kesheng Wu; Ekow J. Otoo; Arie Shoshani (SSDBM, 2002)

A Block Orthogonalization Procedure with Constant Synchronization Requirements. - Andreas Stathopoulos; Kesheng Wu (SIAM J. Sci. Comput., 2002)

Using Bitmap Index for Interactive Exploration of Large Datasets. - Kesheng Wu; Wendy S. Koegler; Jacqueline Chen; Arie Shoshani (SSDBM, 2003)

Evaluation Strategies for Bitmap Indices with Binning. - Kurt Stockinger; Kesheng Wu; Arie Shoshani (DEXA, 2004)

On the performance of bitmap indices for high cardinality attributes. - Kesheng Wu; Ekow J. Otoo; Arie Shoshani (VLDB, 2004)

Optimizing candidate check costs for bitmap indices. - Doron Rotem; Kurt Stockinger; Kesheng Wu (CIKM, 2005)

Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices. - Doron Rotem; Kurt Stockinger; Kesheng Wu (DEXA, 2005)

Optimizing connected component labeling algorithms. - Kesheng Wu; Ekow J. Otoo; Arie Shoshani (Image Processing, 2005)

Network Traffic Analysis With Query Driven Visualization SC 2005 HPC Analytics Results. - Kurt Stockinger; Kesheng Wu; Scott Campbell; Stephen Lau; Mike Fisk; Eugene M. Gavrilov; Alex Kent; Christopher E. Davis; Richard D. Olinger; Robert J. Young; Jim Prewett; Paul M. Weber; et al. (SC, 2005)

DEX: Increasing the Capability of Scientific Data Analysis Pipelines by Using Efficient Bitmap Indices to Accelerate Scientific Visualization. - Kurt Stockinger; John Shalf; E. Wes Bethel; Kesheng Wu (SSDBM, 2005)

Query-Driven Visualization of Large Data Sets. - Kurt Stockinger; John Shalf; Kesheng Wu; E. Wes Bethel (IEEE Visualization, 2005)

Accelerating Network Traffic Analytics Using Query-Driven Visualization. - E. Wes Bethel; Scott Campbell; Eli Dart; Kurt Stockinger; Kesheng Wu (IEEE VAST, 2006)

Imaging and visual analysis - Detecting distributed scans using high-performance query-driven visualization. - Kurt Stockinger; E. Wes Bethel; Scott Campbell; Eli Dart; Kesheng Wu (SC, 2006)

HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices. - Luke J. Gosink; John Shalf; Kurt Stockinger; Kesheng Wu; Wes Bethel (SSDBM, 2006)

Minimizing I/O Costs of Multi-Dimensional Queries with Bitmap Indices. - Doron Rotem; Kurt Stockinger; Kesheng Wu (SSDBM, 2006)

Optimizing bitmap indices with efficient compression. - Kesheng Wu; Ekow J. Otoo; Arie Shoshani (ACM Trans. Database Syst., 2006)

Bitmap Index Design Choices and Their Performance Implications. - Elizabeth J. O'Neil; Patrick E. O'Neil; Kesheng Wu (IDEAS, 2007)

Enabling Real-Time Querying of Live and Historical Stream Data. - Frederick Reiss 001; Kurt Stockinger; Kesheng Wu; Arie Shoshani; Joseph M. Hellerstein (SSDBM, 2007)

Adaptive Bitmap Indexes for Space-Constrained Systems. - Rishi Rakesh Sinha; Marianne Winslett; Kesheng Wu; Kurt Stockinger; Arie Shoshani (ICDE, 2008)

Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs. - Meiyappan Nagappan; Mladen A. Vouk; Kesheng Wu; Alex Sim; Arie Shoshani (ISSRE, 2008)

High performance multivariate visual data exploration for extremely large data. - Oliver Rübel; Prabhat; Kesheng Wu; Hank Childs; Jeremy S. Meredith; Cameron G. R. Geddes; Estelle Cormier-Michel; Sean Ahern; Gunther H. Weber; Peter Messmer; Hans Hagen; Bernd Hamann; et al. (SC, 2008)

Breaking the Curse of Cardinality on Bitmap Indexes. - Kesheng Wu; Kurt Stockinger; Arie Shoshani (SSDBM, 2008)

Accelerating Queries on Very Large Datasets. - Ekow J. Otoo; Kesheng Wu (Scientific Data Management, 2009)

Efficient joins with compressed bitmap indexes. - Kamesh Madduri; Kesheng Wu (CIKM, 2009)

Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays. - Meiyappan Nagappan; Kesheng Wu; Mladen A. Vouk (ISSRE, 2009)

Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures. - Luke J. Gosink; Kesheng Wu; E. Wes Bethel; John D. Owens; Kenneth I. Joy (SSDBM, 2009)

Finding Regions of Interest in Large Scientific Datasets. - Rishi Rakesh Sinha; Marianne Winslett; Kesheng Wu (SSDBM, 2009)

Optimizing two-pass connected-component labeling algorithms. - Kesheng Wu; Ekow J. Otoo; Kenji Suzuki 001 (Pattern Anal. Appl., 2009)

Fast connected-component labeling. - Lifeng He; Yuyan Chao; Kenji Suzuki 001; Kesheng Wu (Pattern Recognit., 2009)

Using Bitmap Index for Joint Queries on Structured and Text Data. - Kurt Stockinger; John Cieslewicz; Kesheng Wu; Doron Rotem; Arie Shoshani (New Trends in Data Warehousing and Data Analysis, 2009)

Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis. - Daren Hasenkamp; Alexander Sim; Michael F. Wehner; Kesheng Wu (CloudCom, 2010)

Multi-level bitmap indexes for flash memory storage. - Kesheng Wu; Kamesh Madduri; Shane Canon (IDEAS, 2010)

Analyses of multi-level and multi-component compressed bitmap indexes. - Kesheng Wu; Arie Shoshani; Kurt Stockinger (ACM Trans. Database Syst., 2010)

Adaptive Projection Subspace Dimension for the Thick-Restart Lanczos Method. - Ichitaro Yamazaki; Zhaojun Bai; Horst D. Simon; Lin-Wang Wang; Kesheng Wu (ACM Trans. Math. Softw., 2010)

FastQuery: A Parallel Indexing System for Scientific Data. - Jerry Chi-Yuan Chou; Kesheng Wu; Prabhat (CLUSTER, 2011)

BMF: Bitmapped Mass Fingerprinting for Fast Protein Identification. - Weikuan Yu; K. John Wu; Wei-Shinn Ku; Cong Xu; Juan Gao (CLUSTER, 2011)

A Communication-Avoiding Thick-Restart Lanczos Method on a Distributed-Memory System. - Ichitaro Yamazaki; Kesheng Wu (Euro-Par Workshops (1), 2011)

Parallel in situ indexing for data-intensive computing. - Jinoh Kim; Hasan Abbasi; Luis Chacón; Ciprian Docan; Scott Klasky; Qing Liu 002; Norbert Podhorszki; Arie Shoshani; Kesheng Wu (LDAV, 2011)

Federal market information technology in the post flash crash era: roles for supercomputing. - E. Wes Bethel; David Leinweber; Oliver Rübel; Kesheng Wu (WHPCF@SC, 2011)

Parallel index and query for large scale data analysis. - Jerry Chi-Yuan Chou; Mark Howison; Brian Austin; Kesheng Wu; Ji Qiang; E. Wes Bethel; Arie Shoshani; Oliver Rübel; Prabhat; Robert D. Ryne (SC, 2011)

FastQuery: A General Indexing and Querying System for Scientific Data. - Jerry Chi-Yuan Chou; Kesheng Wu; Prabhat (SSDBM, 2011)

Massive-Scale RDF Processing Using Compressed Bitmap Indexes. - Kamesh Madduri; Kesheng Wu (SSDBM, 2011)

Query-Driven Visualization and Analysis. - Oliver Rübel; E. Wes Bethel; Kesheng Wu (High Performance Visualization, 2012)

Parallel I/O, analysis, and visualization of a trillion particle simulation. - Surendra Byna; Jerry Chi-Yuan Chou; Oliver Rübel; Prabhat; Homa Karimabadi; William S. Daughton; Vadim Roytershteyn; E. Wes Bethel; Mark Howison; Ke-Jou Hsu; Kuan-Wu Lin; Arie Shoshani; et al. (SC, 2012)

Efficient Attribute-Based Data Access in Astronomy Analysis. - Benson Ma; Arie Shoshani; Alexander Sim; Kesheng Wu; Yong-Ik Byun; Jaegyoon Hahm; Min-Su Shin (SC Companion, 2012)

Minimizing Index Size by Reordering Rows and Columns. - Elaheh Pourabbas; Arie Shoshani; Kesheng Wu (SSDBM, 2012)

TECA: A Parallel Toolkit for Extreme Climate Analysis. - Prabhat; Oliver Rübel; Surendra Byna; Kesheng Wu; Fuyu Li; Michael F. Wehner; Wes Bethel (ICCS, 2012)

Fast Change Point Detection for electricity market analysis. - William Gu; Jaesik Choi; Ming Gu 002; Horst D. Simon; Kesheng Wu (IEEE BigData, 2013)

Expediting scientific data analysis with reorganization of data. - Bin Dong 002; Surendra Byna; Kesheng Wu (CLUSTER, 2013)

SDS: a framework for scientific data services. - Bin Dong 002; Surendra Byna; Kesheng Wu (PDSW@SC, 2013)

Optimizing fastquery performance on lustre file system. - Kuan-Wu Lin; Surendra Byna; Jerry Chi-Yuan Chou; Kesheng Wu (SSDBM, 2013)

Accelerating gene context analysis using bitmaps. - Alexandru Romosan; Arie Shoshani; Kesheng Wu; Victor M. Markowitz; Konstantinos Mavrommatis (SSDBM, 2013)

Why high performance visual data analytics is both relevant and difficult. - E. Wes Bethel; Prabhat; Surendra Byna; Oliver Rübel; K. John Wu; Michael F. Wehner (Visualization and Data Analysis, 2013)

A big data approach to analyzing market volatility. - Kesheng Wu; E. Wes Bethel; Ming Gu 002; David Leinweber; Oliver Rübel (Algorithmic Finance, 2013)

Parallel query evaluation as a Scientific Data Service. - Bin Dong 002; Surendra Byna; Kesheng Wu (CLUSTER, 2014)

Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations. - Florin Rusu; Peter Nugent; Kesheng Wu (DNIS, 2014)

Simplifying index file structure to improve I/O performance of parallel indexing. - Hsuan-Te Chiu; Jerry Chi-Yuan Chou; Venkat Vishwanath; Surendra Byna; Kesheng Wu (ICPADS, 2014)

Model-Driven Data Layout Selection for Improving Read Performance. - Jialin Liu 002; Surendra Byna; Bin Dong 002; Kesheng Wu; Yong Chen 001 (IPDPS Workshops, 2014)

Exploring irregular time series through non-uniform fast Fourier transform. - Jung Heon Song; Marcos López de Prado; Horst D. Simon; Kesheng Wu (WHPCF@SC, 2014)

Parallel data analysis directly on scientific file formats. - Spyros Blanas; Kesheng Wu; Surendra Byna; Bin Dong 002; Arie Shoshani (SIGMOD Conference, 2014)

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. - Qing Liu 002; Jeremy Logan; Yuan Tian 004; Hasan Abbasi; Norbert Podhorszki; Jong Youl Choi; Scott Klasky; Roselyne Tchoua; Jay F. Lofstead; Ron A. Oldfield; Manish Parashar; Nagiza F. Samatova; et al. (Concurr. Comput. Pract. Exp., 2014)

Spatially clustered join on heterogeneous scientific data sets. - Bin Dong 002; Surendra Byna; Kesheng Wu (IEEE BigData, 2015)

Security for the scientific data services framework. - Jinoh Kim; Bin Dong 002; Surendra Byna; Kesheng Wu (IEEE BigData, 2015)

Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data. - Xiaocheng Zou; Kesheng Wu; David A. Boyuka II; Daniel F. Martin; Surendra Byna; Houjun Tang; Kushal Bansal; Terry J. Ligocki; Hans Johansen; Nagiza F. Samatova (CCGRID, 2015)

In-memory Query System for Scientific Dataseis. - Hsuan-Te Chiu; Jerry Chi-Yuan Chou; Venkat Vishwanath; Kesheng Wu (ICPADS, 2015)

PATHA: Performance Analysis Tool for HPC Applications. - Wucherl Yoo; Michelle Koo; Yi Cao; Alex Sim; Peter Nugent; Kesheng Wu (IPCCC, 2015)

Heavy-tailed distribution of parallel I/O system response time. - Bin Dong 002; Surendra Byna; Kesheng Wu (PDSW@SC, 2015)

Extracting Baseline Electricity Usage Using Gradient Tree Boosting. - Taehoon Kim; Dongeun Lee 001; Jaesik Choi; Anna Spurlock; Alex Sim; Annika Todd; Kesheng Wu (SmartCity, 2015)

Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. - Lingfei Wu 001; Kesheng Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (CoRR, 2015)

Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications. - Wenzhao Zhang; Houjun Tang; Stephen Ranshous; Surendra Byna; Daniel F. Martin; Kesheng Wu; Bin Dong 002; Scott Klasky; Nagiza F. Samatova (IEEE BigData, 2016)

Usage Pattern-Driven Dynamic Data Layout Reorganization. - Houjun Tang; Surendra Byna; Steve Harenberg; Xiaocheng Zou; Wenzhao Zhang; Kesheng Wu; Bin Dong 002; Oliver Rübel; Kristofer E. Bouchard; Scott Klasky; Nagiza F. Samatova (CCGrid, 2016)

Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files. - Tzu-Hsien Wu; Hao Shyng; Jerry Chi-Yuan Chou; Bin Dong 002; Kesheng Wu (CCGrid, 2016)

AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications. - Wenzhao Zhang; Houjun Tang; Steve Harenberg; Surendra Byna; Xiaocheng Zou; Dharshi Devendran; Daniel F. Martin; Kesheng Wu; Bin Dong 002; Scott Klasky; Nagiza F. Samatova (CCGrid, 2016)

Data Elevator: Low-Contention Data Movement in Hierarchical Storage System. - Bin Dong 002; Suren Byna; Kesheng Wu; Prabhat; Hans Johansen; Jeffrey N. Johnson; Noel Keen (HiPC, 2016)

SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting. - Bin Dong 002; Surendra Byna; Kesheng Wu (HPDC, 2016)

In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. - Houjun Tang; Suren Byna; Steve Harenberg; Wenzhao Zhang; Xiaocheng Zou; Daniel F. Martin; Bin Dong 002; Dharshi Devendran; Kesheng Wu; David Trebotich; Scott Klasky; Nagiza F. Samatova (ICPP, 2016)

MPO: A System to Document and Analyze Distributed Heterogeneous Workflows. - Kesheng Wu; Elizabeth N. Coviello; S. M. Flanagan; Martin Greenwald; Xia Lee; Alexandru Romosan; David P. Schissel; Arie Shoshani; Josh Stillerman; John C. Wright (IPAW, 2016)

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. - David Pugmire; James Kress; Jong Youl Choi; Scott Klasky; Tahsin M. Kurç; Michael Churchill; Matthew Wolf; Greg Eisenhauer; Hank Childs; Kesheng Wu; Alexander Sim; Junmin Gu; et al. (IPDPS Workshops, 2016)

Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures. - Utkarsh Ayachit; Andrew C. Bauer; Earl P. N. Duque; Greg Eisenhauer; Nicola J. Ferrier; Junmin Gu; Kenneth E. Jansen; Burlen Loring; Zarija Lukic; Suresh Menon; Dmitriy Morozov; Patrick O'Leary; et al. (SC, 2016)

Similarity Join over Array Data. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu (SIGMOD Conference, 2016)

AMR-aware in situ indexing and scalable querying. - Xiaocheng Zou; David A. Boyuka II; Dhara Desai; Daniel F. Martin; Surendra Byna; Kesheng Wu (SpringSim (HPS), 2016)

Novel Data Reduction Based on Statistical Similarity. - Dongeun Lee 001; Alex Sim; Jaesik Choi; Kesheng Wu (SSDBM, 2016)

A science data gateway for environmental management. - Deborah A. Agarwal; Boris Faybishenko; Vicky L. Freedman; Harinarayan Krishnan; Gary Kushner; Carina Lansing; Ellen Porter; Alexandru Romosan; Arie Shoshani; Haruko M. Wainwright; Arthur Weidmer; Kesheng Wu (Concurr. Comput. Pract. Exp., 2016)

Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer. - Gili Rosenberg; Poya Haghnegahdar; Phil Goddard; Peter Carr 002; Kesheng Wu; Marcos López de Prado (IEEE J. Sel. Top. Signal Process., 2016)

Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. - Lingfei Wu 001; K. John Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (IEEE Trans. Big Data, 2016)

Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data. - Ling Jin; Doris Lee; Alex Sim; Sam Borgeson; Kesheng Wu; C. Anna Spurlock; Annika Todd (AAAI Workshops, 2017)

Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. - Jonathan Wang; Kesheng Wu; Alex Sim; Seongwook Hwangbo (BDCAT, 2017)

Data quality challenges with missing values and mixed types in joint sequence analysis. - Alina Lazar; Ling Jin; C. Anna Spurlock; Kesheng Wu; Alex Sim (IEEE BigData, 2017)

Accurate signal timing from high frequency streaming data. - Jonathan Wang; Kesheng Wu; Alex Sim; Seongwook Hwangbo (IEEE BigData, 2017)

Parallel Variable Selection for Effective Performance Prediction. - Jonathan Wang; Wucherl Yoo; Alex Sim; Peter Nugent; Kesheng Wu (CCGrid, 2017)

Apply Block Index Technique to Scientific Data Analysis and I/O Systems. - Tzu-Hsien Wu; Jerry Chi-Yuan Chou; Norbert Podhorszki; Junmin Gu; Yuan Tian 004; Scott Klasky; Kesheng Wu (CCGrid, 2017)

Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data. - Jonathan Wang; Kesheng Wu; Alex Sim; Seongwook Hwangbo (DASC/PiCom/DataCom/CyberSciTech, 2017)

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns. - Dongeun Lee 001; Alex Sim; Jaesik Choi; Kesheng Wu (DCC, 2017)

ArrayUDF: User-Defined Scientific Data Analysis on Arrays. - Bin Dong 002; Kesheng Wu; Surendra Byna; Jialin Liu 002; Weijie Zhao 001; Florin Rusu (HPDC, 2017)

UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. - Shashanka Ubaru; Kesheng Wu; Kristofer E. Bouchard (ICMLA, 2017)

Optimizing the query performance of block index through data analysis and I/O modeling. - Tzu-Hsien Wu; Jerry Chi-Yuan Chou; Shyng Hao; Bin Dong 002; Scott Klasky; Kesheng Wu (SC, 2017)

Incremental View Maintenance over Array Data. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Peter Nugent (SIGMOD Conference, 2017)

Improving Statistical Similarity Based Data Reduction for Non-Stationary Data. - Dongeun Lee 001; Alex Sim; Jaesik Choi; Kesheng Wu (SSDBM, 2017)

ArrayBridge: Interweaving declarative array processing with high-performance computing. - Haoyuan Xing; Sofoklis Floratos; Spyros Blanas; Suren Byna; Prabhat; Kesheng Wu; Paul Brown (CoRR, 2017)

ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage. - Bin Dong 002; Teng Wang; Houjun Tang; Quincey Koziol; Kesheng Wu; Suren Byna (IEEE BigData, 2018)

Predicting Network Traffic Using TCP Anomalies. - Alina Lazar; Kesheng Wu; Alex Sim (IEEE BigData, 2018)

Detecting Anomalies in the LCLS Workflow. - Tal Shachaf; Alexander Sim; Kesheng Wu; Wilko Kroeger (IEEE BigData, 2018)

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. - Rajkumar Kettimuthu; Zhengchun Liu; Ian T. Foster; Peter H. Beckman; Alex Sim; Kesheng Wu; Wei-keng Liao; Qiao Kang; Ankit Agrawal 001; Alok N. Choudhary (AI-Science@HPDC, 2018)

Identifying Anomalous File Transfer Events in LCLS Workflow. - Mengying Yang; Xinyu Liu; Wilko Kroeger; Alex Sim; Kesheng Wu (AI-Science@HPDC, 2018)

Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation. - Sowmya Balasubramanian; Dipak Ghosal; Kamala Narayanan Balasubramanian Sharath; Eric Pouyoul; Alex Sim; Kesheng Wu; Brian Tierney (ICAC, 2018)

Modeling Data Transfers: Change Point and Anomaly Detection. - Cecilia Dao; Xinyu Liu; Alex Sim; Craig Tull; Kesheng Wu (ICDCS, 2018)

ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs. - Haoyuan Xing; Sofoklis Floratos; Spyros Blanas; Suren Byna; Prabhat; Kesheng Wu; Paul Brown (ICDE, 2018)

Efficient Online Hyperparameter Learning for Traffic Flow Prediction. - Hongyuan Zhan; Gabriel Gomes; Xiaoye S. Li; Kamesh Madduri; Kesheng Wu (ITSC, 2018)

Querying Large Scientific Data Sets with Adaptable IO System ADIOS. - Junmin Gu; Scott Klasky; Norbert Podhorszki; Ji Qiang; Kesheng Wu (SCFA, 2018)

Distributed caching for processing raw arrays. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Anna Y. Q. Ho; Peter Nugent (SSDBM, 2018)

Distributed Caching for Complex Querying of Raw Arrays. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Anna Y. Q. Ho; Peter Nugent (CoRR, 2018)

Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. - Hongyuan Zhan; Gabriel Gomes; Xiaoye S. Li; Kamesh Madduri; Kesheng Wu (CoRR, 2018)

Predicting baseline for analysis of electricity pricing. - Taehoon Kim; Jaesik Choi; Dongeun Lee 001; Alex Sim; C. Anna Spurlock; Annika Todd; Kesheng Wu (Int. J. Big Data Intell., 2018)

Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. - Weijie Zhao 001; Florin Rusu; Kesheng Wu; Peter Nugent (Int. J. Comput. Sci. Eng., 2018)

Consensus Ensemble System for Traffic Flow Prediction. - Hongyuan Zhan; Gabriel Gomes; Xiaoye S. Li; Kamesh Madduri; Alex Sim; Kesheng Wu (IEEE Trans. Intell. Transp. Syst., 2018)

Federated Wireless Network Intrusion Detection. - Burak Cetin; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (IEEE BigData, 2019)

Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. - Devarshi Ghoshal; Kesheng Wu; Eric Pouyoul; Erich Strohmaier (IEEE BigData, 2019)

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. - Qiao Kang; Ankit Agrawal 001; Alok N. Choudhary; Alex Sim; Kesheng Wu; Rajkumar Kettimuthu; Peter H. Beckman; Zhengchun Liu; Wei-keng Liao (IEEE BigData, 2019)

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. - Alina Lazar; Alexandra Ballow; Ling Jin; C. Anna Spurlock; Alexander Sim; Kesheng Wu (IEEE BigData, 2019)

Understanding Data Similarity in Large-Scale Scientific Datasets. - Payton Linton; William Melodia; Alina Lazar; Deborah A. Agarwal; Ludovico Bianchi; Devarshi Ghoshal; Gilberto Zonta Pastorello; Lavanya Ramakrishnan; Kesheng Wu (IEEE BigData, 2019)

DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. - Sunggon Kim; Alex Sim; Kesheng Wu; Suren Byna; Teng Wang; Yongseok Son; Hyeonsang Eom (CCGRID, 2019)

Multidimensional Compression with Pattern Matching. - Olivia Del Guercio; Rafael Orozco; Alex Sim; K. John Wu (DCC, 2019)

Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters. - Sambit Shukla 001; Dipak Ghosal; Kesheng Wu; Alex Sim; Matthew K. Farrens (FMEC, 2019)

A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers. - Dipak Ghosal; Sambit Shukla 001; Alex Sim; Aditya V. Thakur; Kesheng Wu (GLOBECOM, 2019)

Similarity-based Compression with Multidimensional Pattern Matching. - Olivia Del Guercio; Rafael Orozco; Alex Sim; Kesheng Wu (SNTA@HPDC, 2019)

Performance Prediction for Data Transfers in LCLS Workflow. - Mengtian Jin; Youkow Homma; Alex Sim; Wilko Kroeger; Kesheng Wu (SNTA@HPDC, 2019)

Understanding Parallel I/O Performance Trends Under Various HPC Configurations. - Hanul Sung; Jiwoo Bang; Alexander Sim; Kesheng Wu; Hyeonsang Eom (SNTA@HPDC, 2019)

Automatic Detection of Network Traffic Anomalies and Changes. - Astha Syal; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (SNTA@HPDC, 2019)

HDF5 as a vehicle for in transit data movement. - Junmin Gu; Burlen Loring; Kesheng Wu; E. Wes Bethel (ISAV@SC, 2019)

Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study. - Bin Dong 002; Patrick Kilian; Xiaocan Li; Fan Guo; Suren Byna; Kesheng Wu (SSDBM, 2019)

SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. - Bin Dong 002; Kesheng Wu; Suren Byna; Houjun Tang (ISC, 2019)

Enabling SQL-Query Processing for Ethereum-based Blockchain Systems. - Jongbeen Han; Heemin Kim; Hyeonsang Eom; Jonathan Coignard; Kesheng Wu; Yongseok Son (WIMS, 2019)

Parallel membership queries on very large scientific data sets using bitmap indexes. - Beytullah Yildiz; Kesheng Wu; Suren Byna; Arie Shoshani (Concurr. Comput. Pract. Exp., 2019)

IDEALEM: Statistical Similarity Based Data Reduction. - Dongeun Lee 001; Alex Sim; Jaesik Choi; Kesheng Wu (CoRR, 2019)

Special issue on scientific and statistical data management. - Kesheng Wu; Florin Rusu (Distributed Parallel Databases, 2019)

Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. - Alina Lazar; Ling Jin; C. Anna Spurlock; Kesheng Wu; Alex Sim; Annika Todd (ACM J. Data Inf. Qual., 2019)

Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion. - Xiaoxia Zhang; Degang Chen 002; Kesheng Wu (Int. J. Mach. Learn. Cybern., 2019)

Effective Missing Value Imputation Methods for Building Monitoring Data. - Brian Cho 001; Teresa Dayrit; Yuan Gao; Zhe Wang 051; Tianzhen Hong; Alex Sim; Kesheng Wu (IEEE BigData, 2020)

Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. - Vincent Dumont; Verónica Rodríguez Tribaldos; Jonathan Ajo-Franklin; Kesheng Wu (IEEE BigData, 2020)

Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. - Qiao Kang; Alex Sim; Peter Nugent; Sunwoo Lee 001; Wei-keng Liao; Ankit Agrawal 001; Alok N. Choudhary; Kesheng Wu (CCGRID, 2020)

Botnet Detection Using Recurrent Variational Autoencoder. - Jeeyung Kim; Alex Sim; Jinoh Kim; Kesheng Wu (GLOBECOM, 2020)

HPC Workload Characterization Using Feature Selection and Clustering. - Jiwoo Bang; Chungyong Kim; Kesheng Wu; Alex Sim; Suren Byna; Sunggon Kim; Hyeonsang Eom (SNTA@HPDC, 2020)

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. - Shilpa Bhandari; Avinash K. Kukreja; Alina Lazar; Alex Sim; Kesheng Wu (SNTA@HPDC, 2020)

Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. - Jeeyung Kim; Alex Sim; Jinoh Kim; Kesheng Wu; Jaegyoon Hahm (SNTA@HPDC, 2020)

Towards HPC I/O Performance Prediction through Large-scale Log Analysis. - Sunggon Kim; Alex Sim; Kesheng Wu; Suren Byna; Yongseok Son; Hyeonsang Eom (HPDC, 2020)

DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection. - Bin Dong 002; Verónica Rodríguez Tribaldos; Xin Xing; Suren Byna; Jonathan Ajo-Franklin; Kesheng Wu (IPDPS, 2020)

A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers. - Gaurav R. Ghosal; Dipak Ghosal; Alex Sim; Aditya V. Thakur; Kesheng Wu (Networking, 2020)

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. - Ling Jin; Alina Lazar; James Sears; Annika Todd-Blick; Alexander Sim; Kesheng Wu; Hung-Chia Yang; C. Anna Spurlock (IEEE Access, 2020)

Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research. - Vincent Dumont; Verónica Rodríguez Tribaldos; Jonathan Ajo-Franklin; Kesheng Wu (CoRR, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. - Alina Lazar; Ling Jin; Caitlin Brown; C. Anna Spurlock; Alexander Sim; Kesheng Wu (IEEE BigData, 2021)

An In-Depth I/O Pattern Analysis in HPC Systems. - Jiwoo Bang; Chungyong Kim; Kesheng Wu; Alex Sim; Suren Byna; Hanul Sung; Hyeonsang Eom (HiPC, 2021)

Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. - Sunwoo Lee 001; Qiao Kang; Kewei Wang 002; Jan Balewski; Alex Sim; Ankit Agrawal 001; Alok N. Choudhary; Peter Nugent; Kesheng Wu; Wei-keng Liao (HiPC, 2021)

Analyzing Scientific Data Sharing Patterns for In-network Data Caching. - Elizabeth Copps; Huiyi Zhang; Alex Sim; Kesheng Wu; Inder Monga; Chin Guok; Frank Würthwein; Diego Davila; Edgar Fajardo Hernandez (SNTA@HPDC, 2021)

GPU-based Classification for Wireless Intrusion Detection. - Alina Lazar; Alex Sim; Kesheng Wu (SNTA@HPDC, 2021)

Access Patterns to Disk Cache for Large Scientific Archive. - Yumeng Wang; Kesheng Wu; Alex Sim; Shinjae Yoo; Shigeki Misawa (SNTA@HPDC, 2021)

Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures. - Yujing Ma; Florin Rusu; Kesheng Wu; Alexander Sim (IPDPS Workshops, 2021)

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. - Ling Jin; C. Anna Spurlock; Sam Borgeson; Alina Lazar; Daniel Fredman; Annika Todd; Alexander Sim; Kesheng Wu (CoRR, 2021)

Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. - Jeeyung Kim; Alex Sim; Jinoh Kim; Kesheng Wu; Jaegyoon Hahm (CoRR, 2021)

Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers. - Yujing Ma; Florin Rusu; Kesheng Wu; Alexander Sim (CoRR, 2021)

Network traffic performance analysis from passive measurements using gradient boosting machine learning. - Astha Syal; Alina Lazar; Jinoh Kim; Alex Sim; Kesheng Wu (Int. J. Big Data Intell., 2021)

An empirical study of I/O separation for burst buffers in HPC systems. - Donghun Koo; Jaehwan Lee 001; Jialin Liu 002; Eun-Kyu Byun; Jae-Hyuck Kwak; Glenn K. Lockwood; Soonwook Hwang; Katie Antypas; Kesheng Wu; Hyeonsang Eom (J. Parallel Distributed Comput., 2021)

User-Defined Tensor Data Analysis, 2 - Bin Dong 002; Kesheng Wu; Suren Byna (Springer, 2021)

Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. - Kewei Wang 002; Sunwoo Lee 001; Jan Balewski; Alex Sim; Peter Nugent; Ankit Agrawal 001; Alok N. Choudhary; Kesheng Wu; Wei-Keng Liao (CCGRID, 2022)

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. - Julian Bellavita; Alex Sim; Kesheng Wu; Inder Monga; Chin Guok; Frank Würthwein; Diego Davila (SNTA@HPDC, 2022)

Access Trends of In-network Cache for Scientific Data. - Ruize Han; Alex Sim; Kesheng Wu; Inder Monga; Chin Guok; Frank Würthwein; Diego Davila; Justas Balcas; Harvey B. Newman (SNTA@HPDC, 2022)

Predicting Slow Network Transfers in Scientific Computing. - Robin Shao; Jinoh Kim; Alex Sim; Kesheng Wu (SNTA@HPDC, 2022)

Adaptive Optimization for Sparse Data on Heterogeneous GPUs. - Yujing Ma; Florin Rusu; Kesheng Wu; Alexander Sim (IPDPS Workshops, 2022)

Exploring Large All-Flash Storage System with Scientific Simulation. - Junmin Gu; Greg Eisenhauer; Scott Klasky; Norbert Podhorszki; Ruonan Wang; Kesheng Wu (SSDBM, 2022)

Design and implementation of dynamic I/O control scheme for large scale distributed file systems. - Sunggon Kim; Alex Sim; Kesheng Wu; Suren Byna; Yongseok Son (Clust. Comput., 2022)

Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow. - Jeeyung Kim; Mengtian Jin; Youkow Homma; Alex Sim; Wilko Kroeger; Kesheng Wu (CoRR, 2022)

Feature Engineering and Classification Models for Partial Discharge in Power Transformers. - Jonathan Wang; Kesheng Wu; Alex Sim; Seongwook Hwangbo (CoRR, 2022)

Enhancing IoT anomaly detection performance for federated learning. - Brett Weinger; Jinoh Kim; Alex Sim; Makiya Nakashima; Nour Moustafa; K. John Wu (Digit. Commun. Networks, 2022)

Real-time and post-hoc compression for data from Distributed Acoustic Sensing. - Bin Dong 002; Alex Popescu; Verónica Rodríguez Tribaldos; Suren Byna; Jonathan Ajo-Franklin; Kesheng Wu (Comput. Geosci., 2022)

Improving nonnegative matrix factorization with advanced graph regularization. - Xiaoxia Zhang; Degang Chen 002; Hong Yu 007; Guoyin Wang 001; Houjun Tang; Kesheng Wu (Inf. Sci., 2022)

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. - Lipeng Wan 001; Axel Huebl; Junmin Gu; Franz Poeschel; Ana Gainaru; Ruonan Wang; Jieyang Chen; Xin Liang 001; Dmitry Ganyushin; Todd S. Munson; Ian T. Foster; Jean-Luc Vay; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. - Carolina Minami Oguchi; Dipak Ghosal; Alex Sim; Kesheng Wu (IEEE Big Data, 2023)

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. - Ankita Sharma; Xuanmao Li; Hong Guan; Guoxin Sun; Liang Zhang; Lanjun Wang; Kesheng Wu; Lei Cao; Erkang Zhu; Alexander Sim; Teresa Wu; Jia Zou 001 (IEEE Big Data, 2023)

Analyzing Transatlantic Network Traffic over Scientific Data Caches. - Ziyue Deng; Alex Sim; Kesheng Wu; Chin Guok; Damian Hazen; Inder Monga; Fabio Andrijauskas; Frank Würthwein; Derek Weitzel (SNTA@HPDC, 2023)

Effectiveness and predictability of in-network storage cache for Scientific Workflows. - Caitlin Sim; Kesheng Wu; Alex Sim; Inder Monga; Chin Guok; Frank Würthwein; Diego Davila; Harvey B. Newman; Justas Balcas (ICNC, 2023)

Data Driven Dimensionality Reduction to Improve Modeling Performance✱. - Joshua Chung; Marcos López de Prado; Horst D. Simon; Kesheng Wu (SSDBM, 2023)

Serving Deep Learning Model in Relational Databases. - Alexandre E. Eichenberger; Qi Lin; Saif Masood; Hong Min; Alexander Sim; Jie Wang; Yida Wang; Kesheng Wu; Binhang Yuan; Lixi Zhou; Jia Zou 001 (CoRR, 2023)

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. - Junmin Gu; Paul Lin; Kesheng Wu; Seung-Hoe Ku; Choong-Seock Chang; Randy Michael Churchill; Jong Choi 001; Norbert Podhorszki; Scott Klasky (CoRR, 2023)

Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. - Robin Shao; Alex Sim; Kesheng Wu; Jinoh Kim (Sensors, 2023)

Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. - Hung-Chia Yang; Ling Jin; Alina Lazar; Annika Todd-Blick; Alex Sim; Kesheng Wu; Qianmiao Chen; C. Anna Spurlock (Syst., 2023)

Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering. - Jonathan Wang; Kesheng Wu; Alex Sim; Seongwook Hwangbo (Sensors, 2023)

Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis. - Sunggon Kim; Alex Sim; Kesheng Wu; Suren Byna; Yongseok Son (J. Big Data, 2023)

TensorSearch: Parallel Similarity Search on Tensors. - Bin Dong 002; Avinash Nayak; Verónica Rodríguez Tribaldos; Kesheng Wu; Jonathan Ajo-Franklin; Qile Zhang; Fan Guo; Suren Byna; Patrick Dobson; Alexander Sim (IEEE Big Data, 2024)

DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. - Imtiaz Mahmud; Pawel Zuk; Cong Wang 014; Mariam Kiran; Kesheng Wu; Komal Thareja; Krishnan Raghavan; Anirban Mandal; Ewa Deelman (IEEE Big Data, 2024)

Serving Deep Learning Models from Relational Databases. - Lixi Zhou; Qi Lin; Kanchan Chowdhury; Saif Masood; Alexandre E. Eichenberger; Hong Min; Alexander Sim; Jie Wang; Yida Wang; Kesheng Wu; Binhang Yuan; Jia Zou 001 (EDBT, 2024)

A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. - Keegan Sanchez; Alex Gavin; Suren Byna; Kesheng Wu; Xuechen Zhang 001 (Euro-Par (2), 2024)

Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data. - Marco Schreyer; Timur Sattarov; Alexander Sim; Kesheng Wu (ICAIF, 2024)

The Art of Sparsity: Mastering High-Dimensional Tensor Storage. - Bin Dong 002; Kesheng Wu; Suren Byna (IPDPS (Workshops), 2024)

A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis. - Dong Kyu Sung; Yongseok Son; Alex Sim; Kesheng Wu; Suren Byna; Houjun Tang; Hyeonsang Eom; Changjong Kim; Sunggon Kim (IPDPS, 2024)

A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers. - Vijeth Kumbarahally Lakshminarayana; Carolina Minami Oguchi; Alex Sim; Kesheng Wu; Dipak Ghosal (SC Workshops, 2024)

Detecting Anomalies in Time Series Using Kernel Density Approaches. - Robin Frehner; Kesheng Wu; Alexander Sim; Jinoh Kim; Kurt Stockinger (IEEE Access, 2024)

Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN. - Xiaoxia Zhang; Mengsheng Ye; Yun Zhang; Qun Liu 005; Guoyin Wang 001; Kesheng Wu (Inf. Sci., 2024)

ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. - Xiaoxia Zhang; Shang Shi; Haichao Sun; Degang Chen 002; Guoyin Wang 001; Kesheng Wu (Neural Networks, 2024)

Conditional Recurrent Neural Networks for Enhancing Throughput Prediction and Slow File Transfers Detection in Large Science Workflows. - Boyu Fan; Alex Sim; Kesheng Wu; Jinoh Kim (CCNC, 2025)

Improving Slow Transfer Predictions: Generative Methods Compared. - Jacob Taegon Kim; Alex Sim; Kesheng Wu; Jinoh Kim (ICNC, 2025)

Regen: An object layout regenerator on large-scale production HPC systems. - Dong Kyu Sung; Sunggon Kim; Sangjin Lee 003; Houjun Tang; Alex Sim; Kesheng Wu; Suren Byna; Yongseok Son (Future Gener. Comput. Syst., 2025)