Xin Liang

Xin Liang

Missouri University of Science and Technology

H-index: 29

North America-United States

About Xin Liang

Xin Liang, With an exceptional h-index of 29 and a recent h-index of 28 (since 2020), a distinguished researcher at Missouri University of Science and Technology, specializes in the field of High Performance Computing, Parallel and Distributed Systems, Data Management/Reduction.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

High-performance effective scientific error-bounded lossy compression with auto-tuned multi-component interpolation

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data

A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error

Fz-gpu: A fast and high-ratio lossy compressor for scientific computing applications on gpus

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Faz: A flexible auto-tuned modular error-bounded compression framework for scientific data

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression

Xin Liang Information

University

Position

___

Citations(all)

2464

Citations(since 2020)

2360

Cited By

501

hIndex(all)

29

hIndex(since 2020)

28

i10Index(all)

69

i10Index(since 2020)

66

Email

University Profile Page

Missouri University of Science and Technology

Google Scholar

View Google Scholar Profile

Xin Liang Skills & Research Interests

High Performance Computing

Parallel and Distributed Systems

Data Management/Reduction

Top articles of Xin Liang

Title

Journal

Author(s)

Publication Date

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

arXiv preprint arXiv:2404.02840

Sheng Di

Jinyang Liu

Kai Zhao

Xin Liang

Robert Underwood

...

2024/4/3

High-performance effective scientific error-bounded lossy compression with auto-tuned multi-component interpolation

Proceedings of the ACM on Management of Data

Jinyang Liu

Sheng Di

Kai Zhao

Xin Liang

Sian Jin

...

2024/3/26

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data

Lipeng Wan

Jieyang Chen

Xin Liang

Ana Gainaru

Qian Gong

...

2023/8/7

A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error

arXiv preprint arXiv:2312.06080

Congrong Ren

Xin Liang

Hanqi Guo

2023/12/11

Fz-gpu: A fast and high-ratio lossy compressor for scientific computing applications on gpus

The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023).

Boyuan Zhang

Jiannan Tian

Sheng Di

Xiaodong Yu

Yunhe Feng

...

2023/4/25

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

SoftwareX

Qian Gong

Jieyang Chen

Ben Whitney

Xin Liang

Viktor Reshniak

...

2023/12/1

Faz: A flexible auto-tuned modular error-bounded compression framework for scientific data

Jinyang Liu

Sheng Di

Kai Zhao

Xin Liang

Zizhong Chen

...

2023/6/21

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression

IEEE Transactions on Visualization and Computer Graphics

Lin Yan

Xin Liang

Hanqi Guo

Bei Wang

2023/11/6

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network

Jinzhen Wang

Xin Liang

Ben Whitney

Jieyang Chen

Qian Gong

...

2023/4/3

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

Viktor Reshniak

Jieyang Chen

...

2023/10/9

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors

Pu Jiao

Sheng Di

Jinyang Liu

Xin Liang

Franck Cappello

2023/12/18

Improving energy saving of one-sided matrix decompositions on CPU-GPU heterogeneous systems

Jieyang Chen

Xin Liang

Kai Zhao

Hadi Zamani Sabzi

Laxmi Bhuyan

...

2023/2/25

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

arXiv preprint arXiv:2309.04037

Jinyang Liu

Sheng Di

Sian Jin

Kai Zhao

Xin Liang

...

2023/9/7

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

Jinyang Liu

Sheng Di

Sian Jin

Kai Zhao

Xin Liang

...

2023/12/15

Region-adaptive, error-controlled scientific data compression using multilevel decomposition

Qian Gong

Ben Whitney

Chengzhu Zhang

Xin Liang

Anand Rangarajan

...

2022/7/6

Toward quantity-of-interest preserving lossy compression for scientific data

Pu Jiao

Sheng Di

Hanqi Guo

Kai Zhao

Jiannan Tian

...

2022/11

Ultrafast error-bounded lossy compression for scientific datasets

Xiaodong Yu

Sheng Di

Kai Zhao

Jiannan Tian

Dingwen Tao

...

2022/6

Message from the DRBSD-8 Workshop Chairs

Jieyang Chen

Sheng Di

Ana Gainaru

Xin Liang

Todd Munson

2022/11/13

Locality-aware qubit routing for the grid architecture

Avah Banerjee

Xin Liang

Rod Tohid

2022/5/30

Dynamic quality metric oriented error bounded lossy compression for scientific datasets

Jinyang Liu

Sheng Di

Kai Zhao

Xin Liang

Zizhong Chen

...

2022/11/13

See List of Professors in Xin Liang University(Missouri University of Science and Technology)

Co-Authors

H-index: 43
Zizhong (Jeffrey) Chen

Zizhong (Jeffrey) Chen

University of California, Riverside

H-index: 28
Dingwen Tao

Dingwen Tao

Washington State University

H-index: 22
Qiang Guan

Qiang Guan

Kent State University

H-index: 19
Panruo Wu

Panruo Wu

University of Houston

H-index: 14
Sihuan Li

Sihuan Li

University of California, Riverside

H-index: 7
Hongbo Li

Hongbo Li

University of California, Riverside

academic-engine