Xin Liang

Orcid: 0000-0002-0630-1600

Affiliations:
  • 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:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.
IEEE Trans. Vis. Comput. Graph., January, 2024

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
CoRR, 2024

Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression.
CoRR, 2024

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.
CoRR, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
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

A General Framework for Error-controlled Unstructured Scientific Data Compression.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Toward Feature-Preserving Vector Field Compression.
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

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
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

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.
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

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
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

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow., 2022

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.
CoRR, 2022

Message from the DRBSD-8 Workshop Chairs.
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

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Ultrafast Error-bounded Lossy Compression for Scientific Datasets.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Parallel Vertex Color Update on Large Dynamic Networks.
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

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
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

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
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

Resilient error-bounded lossy compressor for data transfer.
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

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
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

SDC Resilient Error-bounded Lossy Compressor.
CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
CoRR, 2020

Visualization as a Service for Scientific Data.
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

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Toward Feature-Preserving 2D and 3D Vector Field Compression.
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
Toward Resilience and Data Reduction in Exascale Scientific Computing.
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

Use cases of lossy compression for floating-point data in scientific data sets.
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

FT-iSort: efficient fault tolerance for introsort.
Proceedings of the International Conference for High Performance Computing, 2019

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.
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
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.
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

Improving performance of iterative methods by lossy checkponting.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Fixed-PSNR Lossy Compression for Scientific Data.
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

Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.
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

Correcting soft errors online in fast fourier transform.
Proceedings of the International Conference for High Performance Computing, 2017

Silent Data Corruption Resilient Two-sided Matrix Factorizations.
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.
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

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

New-Sum: A Novel Online ABFT Scheme For General Iterative Methods.
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


  Loading...