PhoneCon: Voice-driven SmartPhone Controllable Wireless Sensor Networks. - Yanjun Yao; Lipeng Wan 001; Qing Cao 001; Rukun Mao (IPCCC, 2012)

Towards Instruction Level Record and Replay of Sensor Network Applications. - Lipeng Wan 001; Qing Cao 001 (MASCOTS, 2013)

Towards approximate spatial queries for large-scale vehicle networks. - Lipeng Wan 001; Zhibo Wang 001; Zheng Lu 005; Hairong Qi 001; Wenjun Zhou 001; Qing Cao 001 (SIGSPATIAL/GIS, 2014)

SSD-optimized workload placement with adaptive learning and classification in HPC environments. - Lipeng Wan 001; Zheng Lu 005; Qing Cao 001; Feiyi Wang; Sarp Oral; Bradley W. Settlemyer (MSST, 2014)

Estimation-based profiling for code placement optimization in sensor network programs. - Lipeng Wan 001; Qing Cao 001; Wenjun Zhou 001 (ISPASS, 2015)

A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. - Lipeng Wan 001; Feiyi Wang; Sarp Oral; Devesh Tiwari; Sudharshan S. Vazhkudai; Qing Cao 001 (SC, 2015)

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. - Jeremy Logan; Jong Youl Choi; Matthew Wolf; George Ostrouchov; Lipeng Wan 001; Norbert Podhorszki; William F. Godoy; Scott Klasky; Erich Lohrmann; Greg Eisenhauer; Chad Wood; Kevin A. Huck (CLUSTER, 2017)

Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. - Lipeng Wan 001; Matthew Wolf; Feiyi Wang; Jong Youl Choi; George Ostrouchov; Scott Klasky (HPCC/SmartCity/DSS, 2017)

Exacution: Enhancing Scientific Data Management for Exascale. - Scott Klasky; Eric Suchyta; Mark Ainsworth; Qing Liu 002; Ben Whitney; Matthew Wolf; Jong Youl Choi; Ian T. Foster; Mark Kim; Jeremy Logan; Kshitij Mehta; Todd S. Munson; et al. (ICDCS, 2017)

Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. - Lipeng Wan 001; Matthew Wolf; Feiyi Wang; Jong Youl Choi; George Ostrouchov; Scott Klasky (ICDCS, 2017)

Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. - Qing Cao 001; Yunhe Feng; Zheng Lu 005; Hairong Qi 001; Leon M. Tolbert; Lipeng Wan 001; Zhibo Wang 001; Wenjun Zhou 001 (Ad Hoc Networks, 2017)

Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems. - Lipeng Wan 001; Qing Cao 001; Feiyi Wang; Sarp Oral (J. Parallel Distributed Comput., 2017)

Optimizing the performance of sensor network programs through estimation-based code profiling. - Lipeng Wan 001; Qing Cao 001; Wenjun Zhou 001 (Pervasive Mob. Comput., 2017)

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. - Scott Klasky; Matthew Wolf; Mark Ainsworth; Chuck Atkins; Jong Choi 001; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; James Kress; Tahsin M. Kurç; Qing Liu 002; et al. (ICDCS, 2018)

Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. - Lipeng Wan 001; Zhibo Wang 001; Zheng Lu 005; Yunhe Feng; Hairong Qi 001; Wenjun Zhou 001; Qing Cao 001 (IEEE Trans. Veh. Technol., 2018)

Orchestrating Fault Prediction with Live Migration and Checkpointing. - Subhendu Behera; Lipeng Wan 001; Frank Mueller 001; Matthew Wolf; Scott Klasky (HPDC, 2020)

FTRANS: energy-efficient acceleration of transformers using FPGA. - Bingbing Li; Santosh Pandey; Haowen Fang; Yanjun Lyv; Ji Li 006; Jieyang Chen; Mimi Xie; Lipeng Wan 001; Hang Liu 001; Caiwen Ding (ISLPED, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Dave Pugmire; Nicholas Thompson; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (CoRR, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (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)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (IPDPS, 2021)

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. - Xin Liang 001; Qian Gong; Jieyang Chen; Ben Whitney; Lipeng Wan 001; Qing Liu 002; David Pugmire; Rick Archibald; Norbert Podhorszki; Scott Klasky (SC, 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 2021)

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. - Qian Gong; Xin Liang 001; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan 001; Stéphane Ethier; Seung-Hoe Ku; Randy Michael Churchill; Choong-Seock Chang; Mark Ainsworth; Ozan Tugluk; et al. (SMC, 2021)

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. - Franz Poeschel; Juncheng E; William F. Godoy; Norbert Podhorszki; Scott Klasky; Greg Eisenhauer; Philip E. Davis; Lipeng Wan 001; Ana Gainaru; Junmin Gu; Fabian Koller; René Widera; et al. (SMC, 2021)

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Qian Gong; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; et al. (CoRR, 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

P-ckpt: Coordinated Prioritized Checkpointing. - Subhendu Behera; Lipeng Wan 001; Frank Mueller 001; Matthew Wolf; Scott Klasky (IPDPS, 2022)

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. - Qian Gong; Ben Whitney; Chengzhu Zhang; Xin Liang 001; Anand Rangarajan 001; Jieyang Chen; Lipeng Wan 001; Paul Ullrich; Qing Liu 002; Robert Jacob; Sanjay Ranka; Scott Klasky (SSDBM, 2022)

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. - Eric Suchyta; Scott Klasky; Norbert Podhorszki; Matthew Wolf; Abolaji D. Adesoji; Choong-Seock Chang; Jong Choi 001; Philip E. Davis; Julien Dominski; Stéphane Ethier; Ian T. Foster; Kai Germaschewski; et al. (Int. J. High Perform. Comput. Appl., 2022)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 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)

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. - Xinying Wang 001; Lipeng Wan 001; Scott Klasky; Dongfang Zhao 001; Feng Yan 001 (CLUSTER, 2023)

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. - Andy Trinh; Shivam Sheth; Anil Gaihre; Caiwen Ding; Jieyang Chen; Feiyi Wang; David Pugmire; Scott Klasky; Hang Liu 001; Lipeng Wan 001 (HPCC/DSS/SmartCity/DependSys, 2023)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Lipeng Wan 001; Jieyang Chen; Xin Liang 001; Ana Gainaru; Qian Gong; Qing Liu 002; Ben Whitney; Joy Arulraj; Zhengchun Liu; Ian T. Foster; Scott Klasky (HPDC, 2023)

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. - Jinzhen Wang; Xin Liang 001; Ben Whitney; Jieyang Chen; Qian Gong; Xubin He; Lipeng Wan 001; Scott Klasky; Norbert Podhorszki; Qing Liu 002 (ICDE, 2023)

Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. - Ahmad Maroof Karimi; Arnab K. Paul; Jong Youl Choi; Lipeng Wan 001; Feiyi Wang (MASCOTS, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Revisiting Erasure Codes: A Configuration Perspective. - Runzhou Han; Chao Shi; Tabassum Mahmud; Zeren Yang; Vladislav Esaulov; Lipeng Wan 001; Yong Chen 001; Jim Wayda; Matthew Wolf; Mai Zheng (HotStorage, 2024)

HPDR: High-Performance Portable Scientific Data Reduction Framework. - Jieyang Chen; Qian Gong; Yanliang Li; Xin Liang 001; Lipeng Wan 001; Qing Liu 002; Norbert Podhorszki; Scott Klasky (IPDPS, 2025)

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows. - Vladislav Esaulov; Jieyang Chen; Norbert Podhorszki; Frédéric Suter; Scott Klasky; Anu G. Bourgeois; Lipeng Wan 001 (CoRR, 2025)