Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes. - Teresa Davies; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPCC/CSS/ICESS, 2015)

New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. - Dingwen Tao; Shuaiwen Leon Song; Sriram Krishnamoorthy; Panruo Wu; Xin Liang 001; Eddy Z. Zhang; Darren J. Kerbyson; Zizhong Chen (HPDC, 2016)

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. - Panruo Wu; Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Dingwen Tao; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPDC, 2016)

Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs. - Jieyang Chen; Xin Liang 001; Zizhong Chen (IPDPS, 2016)

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. - Jieyang Chen; Li Tan; Panruo Wu; Dingwen Tao; Hongbo Li 006; Xin Liang 001; Sihuan Li; Rong Ge 002; Laxmi N. Bhuyan; Zizhong Chen (SC, 2016)

Silent Data Corruption Resilient Two-sided Matrix Factorizations. - Panruo Wu; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Jieyang Chen; Dingwen Tao; Xin Liang 001; Kaiming Ouyang; Zizhong Chen (PPoPP, 2017)

Correcting soft errors online in fast fourier transform. - Xin Liang 001; Jieyang Chen; Dingwen Tao; Sihuan Li; Panruo Wu; Hongbo Li 006; Kaiming Ouyang; Yuanlai Liu; Fengguang Song; Zizhong Chen (SC, 2017)

Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Zizhong Chen; James Paul Ahrens (CoRR, 2017)

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Paul Bryant; Patricia Grubel; Allen McPherson; Li-Ta Lo; Timothy Randles; Zizhong Chen; James Paul Ahrens (IEEE BigData, 2018)

Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. - Sihuan Li; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE BigData, 2018)

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Shaomeng Li; Hanqi Guo 001; Zizhong Chen; Franck Cappello (IEEE BigData, 2018)

PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. - Ali Murat Gok; Sheng Di; Yuri Alexeev; Dingwen Tao; Vladimir A. Mironov; Xin Liang 001; Franck Cappello (CLUSTER, 2018)

An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. - Xin Liang 001; Sheng Di; Dingwen Tao; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Fixed-PSNR Lossy Compression for Scientific Data. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Improving performance of iterative methods by lossy checkponting. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (HPDC, 2018)

BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. - Jieyang Chen; Qiang Guan; Zhao Zhang 007; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Patricia Grubel; Tim Randles; Zizhong Chen; James P. Ahrens (ICDCS, 2018)

Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. - Jieyang Chen; Hongbo Li 006; Sihuan Li; Xin Liang 001; Panruo Wu; Dingwen Tao; Kaiming Ouyang; Yuanlai Liu; Kai Zhao 008; Qiang Guan; Zizhong Chen (SC, 2018)

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Bogdan Nicolae; Zizhong Chen; Franck Cappello (CLUSTER, 2019)

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Sian Jin; Sheng Di; Xin Liang 001; Jiannan Tian; Dingwen Tao; Franck Cappello (HPDC, 2019)

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. - Jieyang Chen; Nan Xiong; Xin Liang 001; Dingwen Tao; Sihuan Li; Kaiming Ouyang; Kai Zhao 008; Nathan DeBardeleben; Qiang Guan; Zizhong Chen (ICS, 2019)

FT-iSort: efficient fault tolerance for introsort. - Sihuan Li; Hongbo Li 006; Xin Liang 001; Jieyang Chen; Elisabeth Giem; Kaiming Ouyang; Kai Zhao 008; Sheng Di; Franck Cappello; Zizhong Chen (SC, 2019)

Significantly improving lossy compression quality based on an optimized hybrid prediction model. - Xin Liang 001; Sheng Di; Sihuan Li; Dingwen Tao; Bogdan Nicolae; Zizhong Chen; Franck Cappello (SC, 2019)

Use cases of lossy compression for floating-point data in scientific data sets. - Franck Cappello; Sheng Di; Sihuan Li; Xin Liang 001; Ali Murat Gok; Dingwen Tao; Chun Hong Yoon; Xin-Chuan Wu; Yuri Alexeev; Frederic T. Chong (Int. J. High Perform. Comput. Appl., 2019)

Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. - Sheng Di; Dingwen Tao; Xin Liang 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

Toward Resilience and Data Reduction in Exascale Scientific Computing. - Xin Liang 001 (2019)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

Toward Feature-Preserving 2D and 3D Vector Field Compression. - Xin Liang 001; Hanqi Guo 001; Sheng Di; Franck Cappello; Mukund Raj; Chunhui Liu; Kenji Ono; Zizhong Chen; Tom Peterka (PacificVis, 2020)

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Julie Bessac; Zizhong Chen; Franck Cappello (IEEE BigData, 2020)

Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2020)

Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Zizhong Chen; Franck Cappello (HPDC, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 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)

Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (CoRR, 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)

SDC Resilient Error-bounded Lossy Compressor. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (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)

FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (CoRR, 2020)

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. - Jinyang Liu 003; Sihuan Li; Sheng Di; Xin Liang 001; Kai Zhao 008; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE BigData, 2021)

Exploring Autoencoder-based Error-bounded Compression for Scientific Data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

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)

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. - Jiannan Tian; Cody Rivera; Sheng Di; Jieyang Chen; Xin Liang 001; Dingwen Tao; Franck Cappello (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)

Resilient error-bounded lossy compressor for data transfer. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (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)

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)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (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)

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (IEEE Trans. Parallel Distributed Syst., 2021)

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (IEEE Trans. Vis. Comput. Graph., 2021)

Parallel Vertex Color Update on Large Dynamic Networks. - Arindam Khanda; Sanjukta Bhowmick; Xin Liang 001; Sajal K. Das 001 (HIPC, 2022)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (HPDC, 2022)

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. - Kai Zhao 008; Sheng Di; Danny Perez; Xin Liang 001; Zizhong Chen; Franck Cappello (ICDE, 2022)

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (SC, 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)

Message from the DRBSD-8 Workshop Chairs. - Jieyang Chen; Sheng Di; Ana Gainaru; Xin Liang 001; Todd S. Munson (DRBSD@SC, 2022)

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (CoRR, 2022)

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. - Pu Jiao; Sheng Di; Hanqi Guo 001; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (Proc. VLDB Endow., 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)

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)

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Big Data, 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)

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. - Pu Jiao; Sheng Di; Jinyang Liu 003; Xin Liang 001; Franck Cappello (HiPC, 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)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (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)

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (ICS, 2023)

Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. - Jieyang Chen; Xin Liang 001; Kai Zhao 008; Hadi Zamani Sabzi; Laxmi N. Bhuyan; Zizhong Chen (PPoPP, 2023)

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CoRR, 2023)

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Xin Liang 001; Kai Zhao 008; Sheng Di; Sihuan Li; Robert Underwood; Ali Murat Gok; Jiannan Tian; Junjing Deng; Jon C. Calhoun; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE Trans. Big Data, 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)

Toward Feature-Preserving Vector Field Compression. - Xin Liang 001; Sheng Di; Franck Cappello; Mukund Raj; Chunhui Liu; Kenji Ono; Zizhong Chen; Tom Peterka; Hanqi Guo 001 (IEEE Trans. Vis. Comput. Graph., 2023)

A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation. - Kalpit M. Vadnerkar; Emmanuela Amen Eze; Rinoj Gautam; Daoru Han; Xin Liang 001; Tong Shu (IEEE Big Data, 2024)

Modeling Lunar Surface Charging Using Physics-Informed Neural Networks. - Niloofar Zendehdel; Adib Mosharrof; Katherine Delgado; Daoru Han; Xin Liang 001; Tong Shu (IEEE Big Data, 2024)

A General Framework for Error-controlled Unstructured Scientific Data Compression. - Qian Gong; Zhe Wang 059; Viktor Reshniak; Xin Liang 001; Jieyang Chen; Qing Liu 002; Tushar M. Athawale; Yi Ju; Anand Rangarajan 001; Sanjay Ranka; Norbert Podhorszki; Rick Archibald; et al. (e-Science, 2024)

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. - Mingze Xia; Sheng Di; Franck Cappello; Pu Jiao; Kai Zhao 008; Jinyang Liu 003; Xuan Wu; Xin Liang 001; Hanqi Guo 001 (ICDE, 2024)

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. - Zizhe Jian; Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Haiying Xu; Robert Underwood; Shixun Wu; Jiajun Huang 001; Zizhong Chen; Franck Cappello (IPDPS, 2024)

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (SC Workshops, 2024)

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Zizhe Jian; Xin Liang 001; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (SC, 2024)

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. - Xuan Wu; Qian Gong; Jieyang Chen; Qing Liu 002; Norbert Podhorszki; Xin Liang 001; Scott Klasky (SC, 2024)

A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error. - Congrong Ren; Xin Liang 001; Hanqi Guo 001 (Comput. Graph. Forum, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (CoRR, 2024)

Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression. - Yuxiao Li 002; Xin Liang 001; Bei Wang 001; Hanqi Guo 001 (CoRR, 2024)

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. - Lin Yan 003; Xin Liang 001; Hanqi Guo 001; Bei Wang 001 (IEEE Trans. Vis. Comput. Graph., 2024)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Sian Jin; Zizhe Jian; Jiajun Huang 001; Shixun Wu; Zizhong Chen; Franck Cappello (Proc. ACM Manag. Data, 2024)

TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation. - Mingze Xia; Bei Wang 001; Yuxiao Li 002; Pu Jiao; Xin Liang 001; Hanqi Guo 001 (ICDE, 2025)

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)

Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction. - Pu Jiao; Sheng Di; Mingze Xia; Xuan Wu; Jinyang Liu 003; Xin Liang 001; Franck Cappello (IPDPS, 2025)

Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. - Yongfeng Qiu; Yuxiao Li 002; Xin Liang 001; Yafan Huang; Guanpeng Li; Sheng Di; Franck Cappello; Hanqi Guo 001 (IPDPS (Workshops), 2025)

Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data. - Xuan Wu; Sheng Di; Congrong Ren; Pu Jiao; Mingze Xia; Cheng Wang; Hanqi Guo 001; Xin Liang 001; Franck Cappello (IPDPS, 2025)

MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors. - Yuxiao Li 002; Xin Liang 001; Bei Wang 001; Yongfeng Qiu; Lin Yan 003; Hanqi Guo 001 (IEEE Trans. Vis. Comput. Graph., 2025)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Longtao Zhang; Ruoyu Li; Congrong Ren; Sheng Di; Jinyang Liu 003; Jiajun Huang 001; Robert Underwood; Pascal Grosset; Dingwen Tao; Xin Liang 001; Hanqi Guo 001; Franck Cappello; et al. (Proc. ACM Manag. Data, 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. - Jinyang Liu 003; Pu Jiao; Kai Zhao 008; Xin Liang 001; Sheng Di; Franck Cappello (Proc. VLDB Endow., 2025)

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. - Yanliang Li; Wenbo Li; Qian Gong; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Xin Liang 001; Jieyang Chen (CoRR, 2025)

A General Framework for Augmenting Lossy Compressors With Topological Guarantees. - Nathaniel Gorski; Xin Liang 001; Hanqi Guo 001; Lin Yan 003; Bei Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. - Shixun Wu; Jinwen Pan; Jinyang Liu 003; Jiannan Tian; Ziwei Qiu; Jiajun Huang 001; Kai Zhao 008; Xin Liang 001; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2025)

TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields. - Nathaniel Gorski; Xin Liang 001; Hanqi Guo 001; Bei Wang 001 (CoRR, 2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data. - Ruoyu Li; Yafan Huang; Longtao Zhang; Zhuoxun Yang; Sheng Di; Jiajun Huang 001; Jinyang Liu 003; Jiannan Tian; Xin Liang 001; Guanpeng Li; Hanqi Guo 001; Franck Cappello; et al. (CoRR, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)