Xin Liang
Orcid: 0000-0002-0630-1600Affiliations:
- University of Kentucky, College of Engineering, Lexington, KY, USA
- Missouri University of Science and Technology, Rolla, MO, USA (former)
- Oak Ridge National Laboratory, TN, USA (former)
- University of California, Riverside, CA, USA (former, PhD 2019)
According to our database1,
Xin Liang
authored at least 86 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on engr.uky.edu
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on orcid.org
On csauthors.net:
Bibliography
2025
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors.
IEEE Trans. Vis. Comput. Graph., January, 2025
2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data, February, 2024
IEEE Trans. Vis. Comput. Graph., January, 2024
CoRR, 2024
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression.
CoRR, 2024
CoRR, 2024
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error.
Comput. Graph. Forum, 2024
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
Proceedings of the International Conference for High Performance Computing, 2024
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.
Proceedings of the International Conference for High Performance Computing, 2024
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 20th IEEE International Conference on e-Science, 2024
2023
IEEE Trans. Vis. Comput. Graph., December, 2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data, April, 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
Proceedings of the 37th International Conference on Supercomputing, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
Proc. VLDB Endow., 2022
CoRR, 2022
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022
2021
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph., 2021
IEEE Trans. Parallel Distributed Syst., 2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021
CoRR, 2021
CoRR, 2021
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR, 2020
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020
CoRR, 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
PhD thesis, 2019
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
IEEE Trans. Parallel Distributed Syst., 2019
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound.
IEEE Trans. Parallel Distributed Syst., 2019
Int. J. High Perform. Comput. Appl., 2019
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
Proceedings of the International Conference for High Performance Computing, 2019
Proceedings of the International Conference for High Performance Computing, 2019
Proceedings of the ACM International Conference on Supercomputing, 2019
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
Proceedings of the International Conference for High Performance Computing, 2018
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018
Proceedings of the IEEE International Conference on Cluster Computing, 2018
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
CoRR, 2017
Proceedings of the International Conference for High Performance Computing, 2017
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017
2016
Proceedings of the International Conference for High Performance Computing, 2016
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016
2015
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015