A Tool to Display Array Access Patterns in OpenMP Programs. - Oscar R. Hernandez; Chunhua Liao; Barbara M. Chapman (PARA, 2004)

Dragon: A Static and Dynamic Tool for OpenMP. - Oscar R. Hernandez; Chunhua Liao; Barbara M. Chapman (WOMPAT, 2004)

Evaluating OpenMP on Chip MultiThreading Platforms. - Chunhua Liao; Zhenying Liu; Lei Huang 006; Barbara M. Chapman (IWOMP, 2005)

Invited Paper: A Compile-time Cost Model for OpenMP. - Chunhua Liao; Barbara M. Chapman (IPDPS, 2007)

OpenUH: an optimizing, portable OpenMP compiler. - Chunhua Liao; Oscar R. Hernandez; Barbara M. Chapman; Wenguang Chen; Weimin Zheng (Concurr. Comput. Pract. Exp., 2007)

Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore. - Chunhua Liao; Daniel J. Quinlan; Jeremiah Willcock; Thomas Panas (IWOMP, 2009)

Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization. - Chunhua Liao; Daniel J. Quinlan; Richard W. Vuduc; Thomas Panas (LCPC, 2009)

A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries. - Chunhua Liao; Daniel J. Quinlan; Thomas Panas; Bronis R. de Supinski (IWOMP, 2010)

Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions. - Chunhua Liao; Daniel J. Quinlan; Jeremiah Willcock; Thomas Panas (Int. J. Parallel Program., 2010)

Auto-tuning full applications: A case study. - Ananta Tiwari; Jeffrey K. Hollingsworth; Chun Chen 002; Mary W. Hall; Chunhua Liao; Daniel J. Quinlan; Jacqueline Chame (Int. J. High Perform. Comput. Appl., 2011)

Studying the impact of application-level optimizations on the power consumption of multi-core architectures. - Shah Mohammad Faizur Rahman; Jichi Guo; Akshatha Bhat; Carlos D. Garcia; Majedul Haque Sujon; Qing Yi; Chunhua Liao; Daniel J. Quinlan (Conf. Computing Frontiers, 2012)

ROSE: : FTTransform - A source-to-source translation framework for exascale fault-tolerance research. - Jacob Lidman; Daniel J. Quinlan; Chunhua Liao; Sally A. McKee (DSN Workshops, 2012)

An OpenMP Analyzer for Detecting Concurrency Errors. - Hongyi Ma; Qichang Chen; Liqiang Wang; Chunhua Liao; Daniel J. Quinlan (ICPP Workshops, 2012)

Auto-scoping for OpenMP Tasks. - Sara Royuela; Alejandro Duran; Chunhua Liao; Daniel J. Quinlan (IWOMP, 2012)

Symbolic Analysis of Concurrency Errors in OpenMP Programs. - Hongyi Ma; Steve Diersen; Liqiang Wang; Chunhua Liao; Daniel J. Quinlan; Zijiang Yang 006 (ICPP, 2013)

Early Experiences with the OpenMP Accelerator Model. - Chunhua Liao; Yonghong Yan 001; Bronis R. de Supinski; Daniel J. Quinlan; Barbara M. Chapman (IWOMP, 2013)

Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data. - Xianfeng Zhang; Chunhua Liao; Jonathan Li 001; Quan Sun (Int. J. Appl. Earth Obs. Geoinformation, 2013)

An IconMap-based exploratory analytical approach for multivariate geospatial data. - Xianfeng Zhang; Chunhua Liao; Yu Liu; Jonathan Li 001 (Sci. China Inf. Sci., 2013)

An Automated Performance-Aware Approach to Reliability Transformations. - Jacob Lidman; Sally A. McKee; Daniel J. Quinlan; Chunhua Liao (Euro-Par Workshops (1), 2014)

Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applications. - Pei-Hung Lin; Chunhua Liao; Daniel J. Quinlan; Stephen M. Guzik (IWOMP, 2015)

Supporting multiple accelerators in high-level programming models. - Yonghong Yan 001; Pei-Hung Lin; Chunhua Liao; Bronis R. de Supinski; Daniel J. Quinlan (PMAM@PPoPP, 2015)

Enhancing domain specific language implementations through ontology. - Chunhua Liao; Pei-Hung Lin; Daniel J. Quinlan; Yue Zhao 011; Xipeng Shen (WOLFHPC@SC, 2015)

HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications. - Weidong Wang; Chunhua Liao; Liqiang Wang 001; Daniel J. Quinlan; Wei Lu 010 (CoRR, 2015)

Towards Ontology-Based Program Analysis. - Yue Zhao 011; Guoyang Chen; Chunhua Liao; Xipeng Shen (ECOOP, 2016)

Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution. - Pedro C. Diniz; Chunhua Liao; Daniel J. Quinlan; Robert F. Lucas (Euro-Par Workshops, 2016)

Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas. - Chunhua Liao; Jinfei Wang (IGARSS, 2016)

A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge. - Yonghong Yan 001; Jeff R. Hammond; Chunhua Liao; Alexandre E. Eichenberger (IWOMP, 2016)

Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures. - Pei-Hung Lin; Qing Yi; Daniel J. Quinlan; Chunhua Liao; Yongqing Yan (LCPC, 2016)

POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. - Yue Zhao 011; Jiajia Li 001; Chunhua Liao; Xipeng Shen (PACT, 2017)

Directive-based tile abstraction to distribute loops on accelerators. - Tristan Vanderbruggen; John Cavazos; Chunhua Liao; Daniel J. Quinlan (GPGPU@PPoPP, 2017)

POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. - Yue Zhao 011; Chunhua Liao; Xipeng Shen (PPoPP, 2017)

DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. - Chunhua Liao; Pei-Hung Lin; Joshua Asplund; Markus Schordan; Ian Karlin (SC, 2017)

A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions. - Chunhua Liao; Jinfei Wang; Ian Pritchard; Jiangui Liu; Jiali Shang (Remote. Sens., 2017)

Runtime and Memory Evaluation of Data Race Detection Tools. - Pei-Hung Lin; Chunhua Liao; Markus Schordan; Ian Karlin (ISoLA (2), 2018)

A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. - Chunhua Liao; Pei-Hung Lin; Markus Schordan; Ian Karlin (IWOMP, 2018)

Bridging the gap between deep learning and sparse matrix format selection. - Yue Zhao 011; Jiajia Li 001; Chunhua Liao; Xipeng Shen (PPoPP, 2018)

Is Data Placement Optimization Still Relevant on Newer GPUs? - Md Abdullah Shahneous Bari; Larisa Stoltzfus; Pei-Hung Lin; Chunhua Liao; Murali Emani; Barbara M. Chapman (PMBS@SC, 2018)

Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. - Larisa Stoltzfus; Murali Emani; Pei-Hung Lin; Chunhua Liao (MCHPC@SC, 2018)

Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. - Fangke Ye; Markus Schordan; Chunhua Liao; Pei-Hung Lin; Ian Karlin; Vivek Sarkar (CORRECTNESS@SC, 2018)

Corn Biomass Estimation Using Sentinel-2 and VENµS Data Based on A Simple Light Use Efficiency Method. - Chunhua Liao; Jinfei Wang; Bo Shan (IGARSS, 2019)

Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. - Jie Ren 015; Chunhua Liao; Dong Li 001 (IPDPS Workshops, 2019)

Extending OpenMP Metadirective Semantics for Runtime Adaptation. - Yonghong Yan 001; Anjia Wang; Chunhua Liao; Thomas R. W. Scogland; Bronis R. de Supinski (IWOMP, 2019)

Ompparser: A Standalone and Unified OpenMP Parser. - Anjia Wang; Yaying Shi; Xinyao Yi; Yonghong Yan 001; Chunhua Liao; Bronis R. de Supinski (IWOMP, 2019)

Exploring Regression of Data Race Detection Tools Using DataRaceBench. - Pei-Hung Lin; Chunhua Liao; Markus Schordan; Ian Karlin (CORRECTNESS@SC, 2019)

Lightning Talks of EduHPC 2019. - William S. Monroe; Michael Witt 002; Maria Pantoja; Christopher Lupo; Anne C. Elster; Joel C. Adams; Mark C. Wissink; Hang Liu; Chunhua Liao; Raphael B. Yehezkael; Benjamin H. Glick; Ravi Tripathi; et al. (EduHPC@SC, 2019)

Machine Learning Guided Optimal Use of GPU Unified Memory. - Hailu Xu; Murali Emani; Pei-Hung Lin; Liting Hu; Chunhua Liao (MCHPC@SC, 2019)

On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data. - Qinghua Xie; Jinfei Wang; Chunhua Liao; Jiali Shang; Juan M. Lopez-Sanchez; Haiqiang Fu; Xiuguo Liu (Remote. Sens., 2019)

AutoParBench: a unified test framework for OpenMP-based parallelizers. - Gleison Souza Diniz Mendonca; Chunhua Liao; Fernando Magno Quintão Pereira (ICS, 2020)

Estimating Chlorophyll Content of Rice Based on UAV-Based Hyperspectral Imagery and Continuous Wavelet Transform. - Gangqiang An; Minfeng Xing; Chunhua Liao; Binbin He (IGARSS, 2020)

XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. - Peter Pirkelbauer; Pei-Hung Lin; Tristan Vanderbruggen; Chunhua Liao (IPDPS, 2020)

Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development. - Justin Gosselin; Anjia Wang; Peter Pirkelbauer; Chunhua Liao; Yonghong Yan 001; Damian Dechev (EduHPC@SC, 2020)

Enhancing DataRaceBench for Evaluating Data Race Detection Tools. - Gaurav Verma; Yaying Shi; Chunhua Liao; Barbara M. Chapman; Yonghong Yan 001 (CORRECTNESS@SC, 2020)

Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data. - Gangqiang An; Minfeng Xing; Binbin He; Chunhua Liao; Xiaodong Huang 004; Jiali Shang; Haiqi Kang (Remote. Sens., 2020)

Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network. - Chunhua Liao; Jinfei Wang; Qinghua Xie; Ayman Al Baz; Xiaodong Huang 004; Jiali Shang; Yongjun He 003 (Remote. Sens., 2020)

Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat. - Yang Song 017; Jinfei Wang; Jiali Shang; Chunhua Liao (Remote. Sens., 2020)

A New Model for Transfer Learning-Based Mapping of Burn Severity. - Zhong Zheng 002; Jinfei Wang; Bo Shan; Yongjun He 003; Chunhua Liao; Yanghua Gao; Shiqi Yang (Remote. Sens., 2020)

Deep NLP-based co-evolvement for synthesizing code analysis from natural language. - Zifan Nan; Hui Guan 001; Xipeng Shen; Chunhua Liao (CC, 2021)

High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench. - Pei-Hung Lin; Chunhua Liao (Correctness@SC, 2021)

CUDAMicroBench: Microbenchmarks to Assist CUDA Performance Programming. - Xinyao Yi; David Stokes; Yonghong Yan 001; Chunhua Liao (IPDPS Workshops, 2021)

HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. - Chunhua Liao; Pei-Hung Lin; Gaurav Verma; Tristan Vanderbruggen; Murali Emani; Zifan Nan; Xipeng Shen (MLHPC@SC, 2021)

HPCFAIR: Enabling FAIR AI for HPC Applications. - Gaurav Verma; Murali Emani; Chunhua Liao; Pei-Hung Lin; Tristan Vanderbruggen; Xipeng Shen; Barbara M. Chapman (MLHPC@SC, 2021)

RDS: a cloud-based metaservice for detecting data races in parallel programs. - Yaying Shi; Anjia Wang; Yonghong Yan 001; Chunhua Liao (UCC, 2021)

Extending OpenMP for Machine Learning-Driven Adaptation. - Chunhua Liao; Anjia Wang; Giorgis Georgakoudis; Bronis R. de Supinski; Yonghong Yan 001; David Beckingsale; Todd Gamblin (WACCPD@SC, 2021)

Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data. - Gangqiang An; Minfeng Xing; Binbin He; Haiqi Kang; Jiali Shang; Chunhua Liao; Xiaodong Huang 004; Hongguo Zhang (Remote. Sens., 2021)

Crop Monitoring and Classification Using Polarimetric RADARSAT-2 Time-Series Data Across Growing Season: A Case Study in Southwestern Ontario, Canada. - Qinghua Xie; Kunyu Lai; Jinfei Wang; Juan M. Lopez-Sanchez; Jiali Shang; Chunhua Liao; Jianjun Zhu 001; Haiqiang Fu; Xing Peng (Remote. Sens., 2021)

Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning. - Qinghua Xie; Jinfei Wang; Juan M. Lopez-Sanchez; Xing Peng; Chunhua Liao; Jiali Shang; Jianjun Zhu 001; Haiqiang Fu; J. David Ballester-Berman (Remote. Sens., 2021)

Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. - Winson Chen; Tristan Vanderbruggen; Pei-Hung Lin; Chunhua Liao; Murali Emani (Correctness@SC, 2022)

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. - Patrick J. Flynn; Tristan Vanderbruggen; Chunhua Liao; Pei-Hung Lin; Murali Emani; Xipeng Shen (ECSA (Tracks and Workshops), 2022)

Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. - Zifan Nan; Mithil Dave; Xipeng Shen; Chunhua Liao; Tristan Vanderbruggen; Pei-Hung Lin; Murali Emani (HUST@SC, 2022)

Extending OpenMP to Support Automated Function Specialization Across Translation Units. - Giorgis Georgakoudis; Thomas R. W. Scogland; Chunhua Liao; Bronis R. de Supinski (IWOMP, 2022)

Modeling optimization of stencil computations via domain-level properties. - Brandon Nesterenko; Qing Yi; Pei-Hung Lin; Chunhua Liao; Brandon Runnels (PMAM@PPoPP, 2022)

Generating and Analyzing Program Call Graphs using Ontology. - Ethan Dorta; Yonghong Yan 001; Chunhua Liao (ProTools@SC, 2022)

Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. - Pei-Hung Lin; Chunhua Liao; Winson Chen; Tristan Vanderbruggen; Murali Emani; Hailu Xu (TransAI, 2022)

XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory. - Hailu Xu; Pei-Hung Lin; Murali Emani; Liting Hu; Chunhua Liao (IEEE Access, 2022)

Towards Seamless Management of AI Models in High-Performance Computing. - Sixing Yu; Murali Emani; Chunhua Liao; Pei-Hung Lin; Tristan Vanderbruggen; Xipeng Shen; Ali Jannesari (CoRR, 2022)

ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery. - Yongjun He 003; Jinfei Wang; Chunhua Liao; Bo Shan; Xin Zhou 019 (Remote. Sens., 2022)

Automatic inspection of program state in an uncooperative environment. - José Wesley de Souza Magalhães; Chunhua Liao; Fernando Magno Quintão Pereira (Softw. Pract. Exp., 2022)

Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning. - Yongjun He 003; Jinfei Wang; Ying Zhang; Chunhua Liao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data. - Yue Wu; Chunhua Liao (Agro-Geoinformatics, 2023)

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++. - Bin Lei; Caiwen Ding; Le Chen; Pei-Hung Lin; Chunhua Liao (HPEC, 2023)

LM4HPC: Towards Effective Language Model Application in High-Performance Computing. - Le Chen; Pei-Hung Lin; Tristan Vanderbruggen; Chunhua Liao; Murali Emani; Bronis R. de Supinski (IWOMP, 2023)

Data Race Detection Using Large Language Models. - Le Chen; Xianzhong Ding; Murali Emani; Tristan Vanderbruggen; Pei-Hung Lin; Chunhua Liao (SC Workshops, 2023)

HPC-GPT: Integrating Large Language Model for High-Performance Computing. - Xianzhong Ding; Le Chen; Murali Emani; Chunhua Liao; Pei-Hung Lin; Tristan Vanderbruggen; Zhen Xie; Alberto Cerpa; Wan Du (SC Workshops, 2023)

Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. - Giorgis Georgakoudis; Konstantinos Parasyris; Chunhua Liao; David Beckingsale; Todd Gamblin; Bronis R. de Supinski (CoRR, 2023)

Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models. - Tristan Vanderbruggen; Chunhua Liao; Peter Pirkelbauer; Pei-Hung Lin (CoRR, 2023)

Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++. - Bin Lei; Caiwen Ding; Le Chen; Pei-Hung Lin; Chunhua Liao (CoRR, 2023)

DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection. - Le Chen; Wenhao Wu; Stephen F. Siegel; Pei-Hung Lin; Chunhua Liao (CoRR, 2023)

Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought. - Bin Lei; Pei-Hung Lin; Chunhua Liao; Caiwen Ding (CoRR, 2023)

Towards Zero Memory Footprint Spiking Neural Network Training. - Bin Lei; Sheng Lin 001; Pei-Hung Lin; Chunhua Liao; Caiwen Ding (CoRR, 2023)

Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen under Rapid Urbanization Based on MT-InSAR. - Min Sun; Yanan Du; Qingyao Liu; Guangcai Feng; Xing Peng; Chunhua Liao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery. - Yongjun He 003; Jinfei Wang; Chunhua Liao; Xin Zhou 019; Bo Shan (Remote. Sens., 2023)

Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series. - Junyan Ye; Wenhao Bao; Chunhua Liao; Dairong Chen; Haoxuan Hu (Remote. Sens., 2023)

Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework. - Dairong Chen; Haoxuan Hu; Chunhua Liao; Junyan Ye; Wenhao Bao; Jinglin Mo; Yue Wu; Taifeng Dong; Hong Fan; Jie Pei (Comput. Electron. Agric., 2023)

Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. - Alnis Murtovi; Giorgis Georgakoudis; Konstantinos Parasyris; Chunhua Liao; Ignacio Laguna; Bernhard Steffen (CGO, 2024)

Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models. - Naveed Sekender; Pei-Hung Lin; Chunhua Liao (IWOMP, 2024)

Developing an Interactive OpenMP Programming Book with Large Language Models. - Xinyao Yi; Anjia Wang; Yonghong Yan 001; Chunhua Liao (IWOMP, 2024)

Prediction of soil organic carbon in black soil based on a synergistic scheme from hyperspectral data: Combining fractional-order derivatives and three-dimensional spectral indices. - Jing Geng; Junwei Lv; Jie Pei; Chunhua Liao; Qiuyuan Tan; Tianxing Wang 001; Huajun Fang; Li Wang 055 (Comput. Electron. Agric., 2024)

Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration. - Le Chen; Bin Lei; Dunzhi Zhou; Pei-Hung Lin; Chunhua Liao; Caiwen Ding; Ali Jannesari (CoRR, 2024)

Bilateral transformer 3D planar recovery. - Fei Ren; Chunhua Liao; Zhina Xie (Graph. Model., 2024)

Generating crop type labels from historical annual crop inventory data with an ensemble learning method. - Yue Wu; Xin Chen; Chunhua Liao; Xuanhong Xu; Yongjun He; Jinfei Wang; Tianxing Wang (Comput. Electron. Agric., 2025)

Reductive Analysis with Compiler-Guided Large Language Models for Input-Centric Code Optimizations. - Xiangwei Wang; Xinning Hui; Chunhua Liao; Xipeng Shen (Proc. ACM Program. Lang., 2025)

Analyzing 16,193 LLM Papers for Fun and Profits. - Zhiqiu Xia; Lang Zhu; Bingzhe Li; Feng Chen; Qiannan Li; Chunhua Liao; Feiyi Wang; Hang Liu (CoRR, 2025)

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports. - Peter Pirkelbauer; Chunhua Liao (CoRR, 2025)