GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability. - Sheng Di; Hai Jin 001; Shengli Li 002; Ling Chen; Chengwei Wang (APSCC, 2006)

Ontology Based Grid Information Interoperation. - Sheng Di; Hai Jin 001; Shengli Li 002; Ling Chen; Li Qi; Chengwei Wang (AINA Workshops (1), 2007)

A Composite-Service Authorization Prediction Platform for Grid Environment. - Chuanjiang Yi; Hai Jin 001; Sheng Di (CDVE, 2007)

Efficient Time Series Data Classification and Compression in Distributed Monitoring. - Sheng Di; Hai Jin 001; Shengli Li 002; Jing Tie; Ling Chen (PAKDD Workshops, 2007)

A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search. - Ling Chen; Hai Jin 001; Sheng Di (ICDS, 2008)

Conflict-minimizing dynamic load balancing for P2P desktop Grid. - Sheng Di; Cho-Li Wang (GRID, 2010)

Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems. - Sheng Di; Cho-Li Wang (ICPP, 2010)

Social-optimized win-win resource allocation for Self-organizing Cloud. - Sheng Di; Cho-Li Wang; Luwei Cheng; Ling Chen (CDC, 2011)

Probabilistic Best-Fit Multi-dimensional Range Query in Self-Organizing Cloud. - Sheng Di; Cho-Li Wang; Weida Zhang; Luwei Cheng (ICPP, 2011)

WAVNet: Wide-Area Network Virtualization Technique for Virtual Private Cloud. - Zheming Xu; Sheng Di; Weida Zhang; Luwei Cheng; Cho-Li Wang (ICPP, 2011)

Defeating Network Jitter for Virtual Machines. - Luwei Cheng; Cho-Li Wang; Sheng Di (UCC, 2011)

Optimal divisible resource allocation for self-organizing cloud - Sheng Di (2011)

Characterization and Comparison of Cloud versus Grid Workloads. - Sheng Di; Derrick Kondo; Walfredo Cirne (CLUSTER, 2012)

Host load prediction in a Google compute cloud with a Bayesian model. - Sheng Di; Derrick Kondo; Walfredo Cirne (SC, 2012)

Decentralized proactive resource allocation for maximizing throughput of P2P Grid. - Sheng Di; Cho-Li Wang (J. Parallel Distributed Comput., 2012)

Towards Payment-Bound Analysis in Cloud Systems with Task-Prediction Errors. - Sheng Di; Cho-Li Wang; Derrick Kondo; Guodong Han (IEEE CLOUD, 2013)

Minimization of cloud task execution length with workload prediction errors. - Sheng Di; Cho-Li Wang (HiPC, 2013)

Characterizing Cloud Applications on a Google Data Center. - Sheng Di; Derrick Kondo; Franck Cappello (ICPP, 2013)

Optimization and stabilization of composite service processing in a cloud system. - Sheng Di; Derrick Kondo; Cho-Li Wang (IWQoS, 2013)

Optimization of cloud task processing with checkpoint-restart mechanism. - Sheng Di; Yves Robert; Frédéric Vivien; Derrick Kondo; Cho-Li Wang; Franck Cappello (SC, 2013)

Ex-post efficient resource allocation for Self-organizing Cloud. - Sheng Di; Cho-Li Wang; Ling Chen (Comput. Electr. Eng., 2013)

Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds. - Sheng Di; Cho-Li Wang (IEEE Trans. Parallel Distributed Syst., 2013)

Error-Tolerant Resource Allocation and Payment Minimization for Cloud System. - Sheng Di; Cho-Li Wang (IEEE Trans. Parallel Distributed Syst., 2013)

GIRAFFE: A scalable distributed coordination service for large-scale systems. - Xuanhua Shi; Haohong Lin; Hai Jin 001; Bing Bing Zhou; Zuoning Yin; Sheng Di; Song Wu 001 (CLUSTER, 2014)

Communication-driven scheduling for virtual clusters in cloud. - Haibao Chen; Song Wu 001; Sheng Di; Bing Bing Zhou; Zhenjiang Xie; Hai Jin 001; Xuanhua Shi (HPDC, 2014)

Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. - Sheng Di; Mohamed-Slim Bouguerra; Leonardo Arturo Bautista-Gomez; Franck Cappello (IPDPS, 2014)

Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. - Sheng Di; Leonardo Arturo Bautista-Gomez; Franck Cappello (SC, 2014)

Google hostload prediction based on Bayesian model with optimized feature combination. - Sheng Di; Derrick Kondo; Walfredo Cirne (J. Parallel Distributed Comput., 2014)

Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors. - Sheng Di; Cho-Li Wang; Franck Cappello (IEEE Trans. Cloud Comput., 2014)

Characterizing and modeling cloud applications/jobs on a Google data center. - Sheng Di; Derrick Kondo; Franck Cappello (J. Supercomput., 2014)

An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. - Sheng Di; Eduardo Berrocal; Franck Cappello (CCGRID, 2015)

Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. - Eduardo Berrocal; Leonardo Arturo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (HPDC, 2015)

Optimization of asynchronous graph processing on GPU with hybrid coloring model. - Xuanhua Shi; Junling Liang; Sheng Di; Bingsheng He; Hai Jin 001; Lu Lu 006; Zhixiang Wang; Xuan Luo; Jianlong Zhong (PPoPP, 2015)

GloudSim: Google trace based cloud simulator with virtual machines. - Sheng Di; Franck Cappello (Softw. Pract. Exp., 2015)

Optimization of Composite Cloud Service Processing with Virtual Machines. - Sheng Di; Derrick Kondo; Cho-Li Wang (IEEE Trans. Computers, 2015)

Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform. - Hai Jin 001; Xinhou Wang; Song Wu 001; Sheng Di; Xuanhua Shi (IEEE Trans. Cloud Comput., 2015)

Synchronization-Aware Scheduling for Virtual Clusters in Cloud. - Song Wu 001; Haibao Chen; Sheng Di; Bing Bing Zhou; Zhenjiang Xie; Hai Jin 001; Xuanhua Shi (IEEE Trans. Parallel Distributed Syst., 2015)

Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Ünsal; Jesús Labarta; Adrián Cristal; Franck Cappello (CCGrid, 2016)

Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (Euro-Par, 2016)

Fast Error-Bounded Lossy HPC Data Compression with SZ. - Sheng Di; Franck Cappello (IPDPS, 2016)

Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control. - Song Wu 001; Zhenjiang Xie; Haibao Chen; Sheng Di; Xinyu Zhao; Hai Jin 001 (IPDPS, 2016)

Dynamic resource scheduling in cloud radio access network with mobile cloud computing. - Xinhou Wang; Kezhi Wang; Song Wu 001; Sheng Di; Kun Yang 001; Hai Jin 001 (IWQoS, 2016)

Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications. - Sheng Di; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2016)

In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IEEE BigData, 2017)

LogAider: A tool for mining potential correlations of HPC log events. - Sheng Di; Rinku Gupta; Marc Snir; Eric Pershey; Franck Cappello (CCGrid, 2017)

MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. - Omer Subasi; Sheng Di; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (CLUSTER, 2017)

Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. - Franck Cappello; Rinku Gupta; Sheng Di; Emil M. Constantinescu; Thomas Peterka; Stefan M. Wild (Euro-Par Workshops, 2017)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

Maximizing the Profit of Cloud Broker with Priority Aware Pricing. - Xinhou Wang; Song Wu 001; Kezhi Wang; Sheng Di; Hai Jin 001; Kun Yang 001; Shumao Ou (ICPADS, 2017)

Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IPDPS, 2017)

Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (ISC Workshops, 2017)

Toward General Software Level Silent Data Corruption Detection for Parallel Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model. - Sheng Di; Yves Robert; Frédéric Vivien; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds. - Song Wu 001; Yihong Wang; Wei Luo; Sheng Di; Haibao Chen; Xiaolin Xu; Ran Zheng; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2017)

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)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - Jong Youl Choi; Choong-Seock Chang; Julien Dominski; Scott Klasky; Gabriele Merlo; Eric Suchyta; Mark Ainsworth; Bryce Allen; Franck Cappello; Michael Churchill; Philip E. Davis; Sheng Di; et al. (eScience, 2018)

La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. - Hanqi Guo 001; Sheng Di; Rinku Gupta; Tom Peterka; Franck Cappello (EGPGV@EuroVis, 2018)

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

Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. - Wenbin He; Hanqi Guo 001; Tom Peterka; Sheng Di; Franck Cappello; Han-Wei Shen (LDAV, 2018)

Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Exploring the capabilities of support vector machines in detecting silent data corruptions. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (Sustain. Comput. Informatics Syst., 2018)

Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. - Xuanhua Shi; Xuan Luo; Junling Liang; Peng Zhao; Sheng Di; Bingsheng He; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2018)

Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data. - Sheng Di; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2018)

Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network. - Xinhou Wang; Kezhi Wang; Song Wu 001; Sheng Di; Hai Jin 001; Kun Yang 001; Shumao Ou (IEEE Trans. Parallel Distributed Syst., 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)

Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. - Sheng Di; Hanqi Guo 001; Eric Pershey; Marc Snir; Franck Cappello (DSN, 2019)

Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. - Xiangyu Zou; Tao Lu; Sheng Di; Dingwen Tao; Wen Xia; Xuan Wang 002; Weizhe Zhang; Qing Liao 001 (HPCC/SmartCity/DSS, 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)

Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Sheng Di; Dingwen Tao; Franck Cappello (MSST, 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)

Full-state quantum circuit simulation by using data compression. - Xin-Chuan Wu; Sheng Di; Emma Maitreyee Dasgupta; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (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)

Z-checker: A framework for assessing lossy compression of scientific data. - Dingwen Tao; Sheng Di; Hanqi Guo 001; Zizhong Chen; Franck Cappello (Int. J. High Perform. Comput. Appl., 2019)

Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. - Sheng Di; Hanqi Guo 001; Rinku Gupta; Eric Pershey; Marc Snir; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 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)

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)

FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. - Robert Underwood; Sheng Di; Jon C. Calhoun; Franck Cappello (IPDPS, 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)

Fulfilling the Promises of Lossy Compression for Scientific Applications. - Franck Cappello; Sheng Di; Ali Murat Gok (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)

SDC Resilient Error-bounded Lossy Compressor. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CoRR, 2020)

Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Haijun Zhang 002; Sheng Di; Dingwen Tao; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 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)

Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. - Hongyuan Liu 002; Bogdan Nicolae; Sheng Di; Franck Cappello; Adwait Jog (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)

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. - Xiaodong Yu 001; Sheng Di; Ali Murat Gok; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Sentiment Analysis based Error Detection for Large-Scale Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Franck Cappello; Edward Chuah (DSN, 2021)

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (HiPC, 2021)

Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. - Ruiwen Shan; Sheng Di; Jon C. Calhoun; Franck Cappello (HPEC, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. - Kai Zhao 008; Sheng Di; Maxim Dmitriev; Thierry-Laurent D. Tonellot; Zizhong Chen; Franck Cappello (ICDE, 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)

Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. - David Krasowska; Julie Bessac; Robert Underwood; Jon C. Calhoun; Sheng Di; Franck Cappello (DRBSD@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)

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. - Yuanjian Lin; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (DRBSD@SC, 2021)

Productive and Performant Generic Lossy Data Compression with LibPressio. - Robert Underwood; Victoriana Malvoso; Jon C. Calhoun; Sheng Di; Franck Cappello (DRBSD@SC, 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)

Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control. - Hao Fan 006; Song Wu 001; Xinyu Zhao; Zhenjiang Xie; Sheng Di; Jiang Xiao; Chen Yu 003; Hai Jin 001 (IEEE Trans. Computers, 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)

Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. - Ruiwen Shan; Sheng Di; Jon C. Calhoun; Franck Cappello (CLUSTER, 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)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. - Sian Jin; Sheng Di; Jiannan Tian; Suren Byna; Dingwen Tao; Franck Cappello (ICDE, 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)

Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Franck Cappello (ICS, 2022)

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Cody Rivera; Sheng Di; Jiannan Tian; Xiaodong Yu 001; Dingwen Tao; Franck Cappello (IPDPS, 2022)

Efficient Error-Bounded Lossy Compression for CPU Architectures. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon C. Calhoun; Franck Cappello (MASCOTS, 2022)

Hardening selective protection across multiple program inputs for HPC applications. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (PPoPP, 2022)

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2022)

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. - Sian Jin; Dingwen Tao; Houjun Tang; Sheng Di; Suren Byna; Zarija Lukic; Franck Cappello (SC, 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)

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

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. - Zhaoyuan Su; Sheng Di; Ali Murat Gok; Yue Cheng 001; Franck Cappello (DRBSD@SC, 2022)

Understanding the Effects of Modern Compressors on the Community Earth Science Model. - Robert Underwood; Julie Bessac; Sheng Di; Franck Cappello (DRBSD@SC, 2022)

SIMD Lossy Compression for Scientific Data. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon Calhoun 001; Franck Cappello (CoRR, 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)

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. - Robert Underwood; Chun Hong Yoon; Ali Murat Gok; Sheng Di; 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)

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. - Robert Underwood; Jon C. Calhoun; Sheng Di; Amy W. Apon; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. - Jiajun Huang 001; Jinyang Liu 003; Sheng Di; Yujia Zhai; Zizhe Jian; Shixun Wu; Kai Zhao 008; Zizhong Chen; Yanfei Guo; Franck Cappello (IEEE Big Data, 2023)

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)

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. - Yafan Huang; Kai Zhao 008; Sheng Di; Guanpeng Li; Maxim Dmitriev; Thierry-Laurent D. Tonellot; Franck Cappello (CCGrid, 2023)

A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. - Arkaprabha Ganguli; Robert Underwood; Julie Bessac; David Krasowska; Jon C. Calhoun; Sheng Di; Franck Cappello (CLUSTER, 2023)

An Efficient and Accurate Compression Ratio Estimation Model for SZx. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (CLUSTER Workshops, 2023)

Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Lin Gui 003; Franck Cappello; Simon McIntosh-Smith (DSN, 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)

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (HiPC, 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)

Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. - Yuanjian Liu; Sheng Di; Kyle Chard; Ian T. Foster; Franck Cappello (ICDCS, 2023)

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. - Md Hasanur Rahman 001; Sheng Di; Kai Zhao 008; Robert Underwood; Guanpeng Li; Franck Cappello (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)

Lightweight Huffman Coding for Efficient GPU Compression. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (ICS, 2023)

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Martin Swany; Dingwen Tao; Franck Cappello (ICS, 2023)

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. - Milan Shah; Xiaodong Yu 001; Sheng Di; Danylo Lykov; Yuri Alexeev; Michela Becchi; Franck Cappello (IPDPS, 2023)

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. - Yafan Huang; Sheng Di; Xiaodong Yu 001; Guanpeng Li; Franck Cappello (SC, 2023)

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. - Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman 001; Arham Khan; Franck Cappello (SC Workshops, 2023)

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; Sian Jin; Houjun Tang; Jean M. Sexton; Sheng Di; Kai Zhao 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; Rajeev Thakur (CoRR, 2023)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (CoRR, 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)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Kibaek Kim; Robert Underwood; Richard Mortier; 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)

Black-box statistical prediction of lossy compression ratios for scientific data. - Robert Underwood; Julie Bessac; David Krasowska; Jon C. Calhoun; Sheng Di; Franck Cappello (Int. J. High Perform. Comput. Appl., 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)

QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate. - Khondoker Mirazul Mumenin; Dong Dai 001; Jinzhen Wang; Sheng Di (IEEE Big Data, 2024)

FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. - Shixun Wu; Yitong Ding; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Bryan M. Wong; Zizhong Chen; Franck Cappello (CLUSTER, 2024)

Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. - Sian Jin; Sheng Di; Frédéric Vivien; Daoce Wang; Yves Robert; Dingwen Tao; Franck Cappello (EuroSys, 2024)

A Portable, Fast, DCT-based Compressor for AI Accelerators. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (HPDC, 2024)

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. - Shihui Song; Yafan Huang; Peng Jiang 004; Xiaodong Yu 001; Weijian Zheng; Sheng Di; Qinglei Cao; Yunhe Feng; Zhen Xie; Franck Cappello (HPDC, 2024)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Zilinghan Li; Kibaek Kim; Robert Underwood; Richard Mortier; Franck Cappello (ICDCS, 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)

Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. - Tri Nguyen; Md Hasanur Rahman 001; Sheng Di; Michela Becchi (ICPP, 2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; et al. (ICS, 2024)

FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. - Haotian Xu; Zhaorui Zhang; Sheng Di; Benben Liu; Khalid Ayedh Alharthi; Jiannong Cao 001 (IJCAI, 2024)

Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. - Md Hasanur Rahman 001; Sheng Di; Shengjian Guo; Xiaoyi Lu; Guanpeng Li; Franck Cappello (IPDPS, 2024)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; et al. (IPDPS, 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)

Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters. - Di Zhang; Monish Soundar Raj; Bing Xie; Sheng Di; Dong Dai 001 (IPDPS, 2024)

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (PPoPP, 2024)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 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)

FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. - Thomas Grützmacher; Robert Underwood; Sheng Di; Franck Cappello; Hartwig Anzt (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)

cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. - Yafan Huang; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2024)

Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. - Yafan Huang; Sheng Di; Zhaorui Zhang; Xiaoyi Lu; Guanpeng Li (SC, 2024)

Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. - Robert Underwood; Jon C. Calhoun; Sheng Di; Franck Cappello (CoRR, 2024)

FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework. - Yuanjian Liu; Huihao Luo; Zhijun Han; Yao Hu; Yehui Yang; Kyle Chard; Sheng Di; Ian T. Foster; Jiesheng Wu (CoRR, 2024)

An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data. - Congrong Ren; Sheng Di; Longtao Zhang; Kai Zhao 008; Hanqi Guo 001 (CoRR, 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)

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Zizhong Chen; Franck Cappello (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)

DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. - Shixun Wu; Krishnan Raghavan; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2024)

A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly? - Leonardo Bautista-Gomez; Anne Benoit; Sheng Di; Thomas Hérault; Yves Robert; Hongyang Sun 001 (Future Gener. Comput. Syst., 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)

Can Tensor Cores Benefit Memory-Bound Kernels? (NO!). - Lingqi Zhang 001; Jiajun Huang 001; Sheng Di; Satoshi Matsuoka; Mohamed Wahib (GPGPU@PPoPP, 2025)

Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds. - Alex Fallin; Noushin Azami; Sheng Di; Franck Cappello; Martin Burtscher (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)

Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data. - Alexandra Poulos; Robert Underwood; Jon C. Calhoun; Sheng Di; 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)

Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality. - Md Hasanur Rahman 001; Sheng Di; Guanpeng Li; Franck Cappello (IPDPS (Workshops), 2025)

A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine. - Shihui Song; Robert Underwood; Sheng Di; Yafan Huang; Peng Jiang 004; Franck Cappello (IPDPS, 2025)

To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Robert Underwood; Franck Cappello (IPDPS, 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)

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. - Baixi Sun; Weijin Liu; J. Gregory Pauloski; Jiannan Tian; Jinda Jia; Daoce Wang; Boyuan Zhang 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Franck Cappello; Zizhong Chen (PPoPP, 2025)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval. - Zhuoxun Yang; Sheng Di; Longtao Zhang; Ruoyu Li; Ximiao Li; Jiajun Huang 001; Jinyang Liu 003; Franck Cappello; Kai Zhao 008 (CoRR, 2025)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Khalid Ayedh Alharthi; Zizhong Chen; et al. (CoRR, 2025)

CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning. - Ping Zhang; Zhaorui Zhang; Sheng Di; Yao Xin; Benben Liu (CoRR, 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)

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)

FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. - Zhaorui Zhang; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Zhuoran Ji; Benben Liu; Khalid Ayedh Alharthi; Jiannong Cao 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2025)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Ammar Ahmed; Sheng Di; Franck Cappello; Zirui Liu 001; Jingoo Han; Ali Anwar 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)