Chunhua Liao - RankMe

116 papers A* 1A 6B 5C 4Misc 1Journal 47Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Malicious Attack Challenges and Mitigation Strategies for Large Code Models: A Survey on Data Poisoning, Adversarial Attacks, and Backdoor Vulnerabilities. HICSS Dongqing Lin, Luwen Huangfu, Chunhua Liao, Brian Chung, Akul Gowda, Thomas S. Brettin
2025	J	`jnl`	Analyzing 16,193 LLM Papers for Fun and Profits. CoRR Zhiqiu Xia, Lang Zhu, Bingzhe Li, Feng Chen, Qiannan Li, Chunhua Liao, Feiyi Wang, Hang Liu
2025	J	`jnl`	Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. CoRR Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao
2025	C	`conf`	CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports. ISC Peter Pirkelbauer, Chunhua Liao
2025	J	`jnl`	CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports. CoRR Peter Pirkelbauer, Chunhua Liao
2025	J	`jnl`	Field-Scale Detection of Crop Seeding Date Using Sentinel-1 Coherence Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xin Chen, Chunhua Liao, Jiali Shang, Jiangui Liu, Yue Wu, JinFei Wang, Tianxing Wang
2025	J	`jnl`	GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding. CoRR Bin Lei, Nuo Xu, Ali Payani, Ming-Yi Hong, Chunhua Liao, Yu Cao, Caiwen Ding
2025	J	`jnl`	Generating crop type labels from historical annual crop inventory data with an ensemble learning method. Comput. Electron. Agric. Yue Wu, Xin Chen, Chunhua Liao, Xuanhong Xu, Yongjun He, JinFei Wang, TianXing Wang
2025	A*	`conf`	REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. EMNLP Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu
2025	J	`jnl`	REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. CoRR Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu
2025	J	`jnl`	Reductive Analysis with Compiler-Guided Large Language Models for Input-Centric Code Optimizations. Proc. ACM Program. Lang. Xiangwei Wang, Xinning Hui, Chunhua Liao, Xipeng Shen
2024	J	`jnl`	Bilateral transformer 3D planar recovery. Graph. Model. Fei Ren, Chunhua Liao, Zhina Xie
2024	—	`conf`	Developing an Interactive OpenMP Programming Book with Large Language Models. IWOMP Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao
2024	J	`jnl`	Developing an Interactive OpenMP Programming Book with Large Language Models. CoRR Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao
2024	A	`conf`	Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen
2024	—	`conf`	Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models. IWOMP Naveed Sekender, Pei-Hung Lin, Chunhua Liao
2024	J	`jnl`	Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration. CoRR Le Chen, Bin Lei, Dunzhi Zhou, Pei-Hung Lin, Chunhua Liao, Caiwen Ding, Ali Jannesari
2024	J	`jnl`	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. Comput. Electron. Agric. Jing Geng, Junwei Lv, Jie Pei, Chunhua Liao, Qiuyuan Tan, Tianxing Wang, Huajun Fang, Li Wang
2023	J	`jnl`	Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought. CoRR Bin Lei, Pei-Hung Lin, Chunhua Liao, Caiwen Ding
2023	J	`jnl`	Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series. Remote. Sens. Junyan Ye, Wenhao Bao, Chunhua Liao, Dairong Chen, Haoxuan Hu
2023	—	`conf`	Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++. HPEC Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao
2023	J	`jnl`	Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++. CoRR Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao
2023	J	`jnl`	Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework. Comput. Electron. Agric. Dairong Chen, Haoxuan Hu, Chunhua Liao, Junyan Ye, Wenhao Bao, Jinglin Mo, Yue Wu, Taifeng Dong, Hong Fan, Jie Pei
2023	—	`conf`	Data Race Detection Using Large Language Models. SC Workshops Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao
2023	J	`jnl`	Data Race Detection Using Large Language Models. CoRR Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao
2023	J	`jnl`	DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection. CoRR Le Chen, Wenhao Wu, Stephen F. Siegel, Pei-Hung Lin, Chunhua Liao
2023	—	`conf`	Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data. Agro-Geoinformatics Yue Wu, Chunhua Liao
2023	—	`conf`	HPC-GPT: Integrating Large Language Model for High-Performance Computing. SC Workshops Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto Cerpa, Wan Du
2023	J	`jnl`	HPC-GPT: Integrating Large Language Model for High-Performance Computing. CoRR Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto E. Cerpa, Wan Du
2023	—	`conf`	LM4HPC: Towards Effective Language Model Application in High-Performance Computing. IWOMP Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski
2023	J	`jnl`	LM4HPC: Towards Effective Language Model Application in High-Performance Computing. CoRR Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski
2023	J	`jnl`	MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery. Remote. Sens. Yongjun He, JinFei Wang, Chunhua Liao, Xin Zhou, Bo Shan
2023	J	`jnl`	Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski
2023	J	`jnl`	Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models. CoRR Tristan Vanderbruggen, Chunhua Liao, Peter Pirkelbauer, Pei-Hung Lin
2023	J	`jnl`	Towards Zero Memory Footprint Spiking Neural Network Training. CoRR Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding
2023	J	`jnl`	Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen under Rapid Urbanization Based on MT-InSAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Min Sun, Yanan Du, Qingyao Liu, Guangcai Feng, Xing Peng, Chunhua Liao
2022	J	`jnl`	Automatic inspection of program state in an uncooperative environment. Softw. Pract. Exp. José Wesley de Souza Magalhães, Chunhua Liao, Fernando Magno Quintão Pereira
2022	J	`jnl`	ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery. Remote. Sens. Yongjun He, JinFei Wang, Chunhua Liao, Bo Shan, Xin Zhou
2022	—	`conf`	Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. Correctness@SC Winson Chen, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao, Murali Emani
2022	J	`jnl`	Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongjun He, JinFei Wang, Ying Zhang, Chunhua Liao
2022	—	`conf`	Extending OpenMP to Support Automated Function Specialization Across Translation Units. IWOMP Giorgis Georgakoudis, Thomas R. W. Scogland, Chunhua Liao, Bronis R. de Supinski
2022	—	`conf`	Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. ECSA (Tracks and Workshops) Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen
2022	J	`jnl`	Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. CoRR Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen
2022	—	`conf`	Generating and Analyzing Program Call Graphs using Ontology. ProTools@SC Ethan Dorta, Yonghong Yan, Chunhua Liao
2022	—	`conf`	Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. HUST@SC Zifan Nan, Mithil Dave, Xipeng Shen, Chunhua Liao, Tristan Vanderbruggen, Pei-Hung Lin, Murali Emani
2022	—	`conf`	Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. TransAI Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
2022	J	`jnl`	Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. CoRR Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
2022	—	`conf`	Modeling optimization of stencil computations via domain-level properties. PMAM@PPoPP Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels
2022	J	`jnl`	Towards Seamless Management of AI Models in High-Performance Computing. CoRR Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari
2022	J	`jnl`	XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory. IEEE Access Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao
2021	—	`conf`	CUDAMicroBench: Microbenchmarks to Assist CUDA Performance Programming. IPDPS Workshops Xinyao Yi, David Stokes, Yonghong Yan, Chunhua Liao
2021	J	`jnl`	Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning. Remote. Sens. Qinghua Xie, JinFei Wang, Juan M. Lopez-Sanchez, Xing Peng, Chunhua Liao, Jiali Shang, Jianjun Zhu, Haiqiang Fu, J. David Ballester-Berman
2021	J	`jnl`	Crop Monitoring and Classification Using Polarimetric RADARSAT-2 Time-Series Data Across Growing Season: A Case Study in Southwestern Ontario, Canada. Remote. Sens. Qinghua Xie, Kunyu Lai, JinFei Wang, Juan M. Lopez-Sanchez, Jiali Shang, Chunhua Liao, Jianjun Zhu, Haiqiang Fu, Xing Peng
2021	B	`conf`	Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao
2021	—	`conf`	Extending OpenMP for Machine Learning-Driven Adaptation. WACCPD@SC Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin
2021	J	`jnl`	Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data. Remote. Sens. Gangqiang An, Minfeng Xing, Binbin He, Haiqi Kang, Jiali Shang, Chunhua Liao, Xiaodong Huang, Hongguo Zhang
2021	—	`conf`	HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. MLHPC@SC Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen
2021	—	`conf`	HPCFAIR: Enabling FAIR AI for HPC Applications. MLHPC@SC Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman
2021	—	`conf`	High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench. Correctness@SC Pei-Hung Lin, Chunhua Liao
2021	Misc	`conf`	RDS: a cloud-based metaservice for detecting data races in parallel programs. UCC Yaying Shi, Anjia Wang, Yonghong Yan, Chunhua Liao
2020	J	`jnl`	A New Model for Transfer Learning-Based Mapping of Burn Severity. Remote. Sens. Zhong Zheng, JinFei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang
2020	A	`conf`	AutoParBench: a unified test framework for OpenMP-based parallelizers. ICS Gleison Souza Diniz Mendonca, Chunhua Liao, Fernando Magno Quintão Pereira
2020	—	`conf`	Enhancing DataRaceBench for Evaluating Data Race Detection Tools. CORRECTNESS@SC Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan
2020	C	`conf`	Estimating Chlorophyll Content of Rice Based on UAV-Based Hyperspectral Imagery and Continuous Wavelet Transform. IGARSS Gangqiang An, Minfeng Xing, Chunhua Liao, Binbin He
2020	—	`conf`	Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development. EduHPC@SC Justin Gosselin, Anjia Wang, Peter Pirkelbauer, Chunhua Liao, Yonghong Yan, Damian Dechev
2020	J	`jnl`	Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network. Remote. Sens. Chunhua Liao, JinFei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He
2020	J	`jnl`	Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data. Remote. Sens. Gangqiang An, Minfeng Xing, Binbin He, Chunhua Liao, Xiaodong Huang, Jiali Shang, Haiqi Kang
2020	J	`jnl`	Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat. Remote. Sens. Yang Song, JinFei Wang, Jiali Shang, Chunhua Liao
2020	A	`conf`	XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. IPDPS Peter Pirkelbauer, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao
2019	C	`conf`	Corn Biomass Estimation Using Sentinel-2 and VENµS Data Based on A Simple Light Use Efficiency Method. IGARSS Chunhua Liao, JinFei Wang, Bo Shan
2019	—	`conf`	Exploring Regression of Data Race Detection Tools Using DataRaceBench. CORRECTNESS@SC Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
2019	—	`conf`	Extending OpenMP Metadirective Semantics for Runtime Adaptation. IWOMP Yonghong Yan, Anjia Wang, Chunhua Liao, Thomas R. W. Scogland, Bronis R. de Supinski
2019	—	`conf`	Lightning Talks of EduHPC 2019. EduHPC@SC William S. Monroe, Michael Witt, 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, Brian Smith, Jens Mache, Trilce Estrada, Debzani Deb, Ujjal Bhowmik, Yuting Chen, Dong San Choi, Zuofu Cheng, Gladys K. Andino, Pete E. Pascuzzi, Mark Daniel Ward
2019	—	`conf`	Machine Learning Guided Optimal Use of GPU Unified Memory. MCHPC@SC Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao
2019	—	`conf`	Ompparser: A Standalone and Unified OpenMP Parser. IWOMP Anjia Wang, Yaying Shi, Xinyao Yi, Yonghong Yan, Chunhua Liao, Bronis R. de Supinski
2019	J	`jnl`	On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data. Remote. Sens. Qinghua Xie, JinFei Wang, Chunhua Liao, Jiali Shang, Juan M. Lopez-Sanchez, Haiqiang Fu, Xiuguo Liu
2019	—	`conf`	Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops Jie Ren, Chunhua Liao, Dong Li
2018	—	`conf`	A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. IWOMP Chunhua Liao, Pei-Hung Lin, Markus Schordan, Ian Karlin
2018	B	`conf`	Bridging the gap between deep learning and sparse matrix format selection. PPoPP Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
2018	—	`conf`	Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. MCHPC@SC Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao
2018	—	`conf`	Is Data Placement Optimization Still Relevant on Newer GPUs? PMBS@SC Md Abdullah Shahneous Bari, Larisa Stoltzfus, Pei-Hung Lin, Chunhua Liao, Murali Emani, Barbara M. Chapman
2018	—	`conf`	Runtime and Memory Evaluation of Data Race Detection Tools. ISoLA (2) Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
2018	—	`conf`	Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. CORRECTNESS@SC Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar
2017	J	`jnl`	A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions. Remote. Sens. Chunhua Liao, JinFei Wang, Ian Pritchard, Jiangui Liu, Jiali Shang
2017	A	`conf`	DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. SC Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin
2017	—	`conf`	Directive-based tile abstraction to distribute loops on accelerators. GPGPU@PPoPP Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan
2017	B	`conf`	POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. PPoPP Yue Zhao, Chunhua Liao, Xipeng Shen
2017	B	`conf`	POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. PACT Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
2016	—	`conf`	A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge. IWOMP Yonghong Yan, Jeff R. Hammond, Chunhua Liao, Alexandre E. Eichenberger
2016	—	`conf`	Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures. LCPC Pei-Hung Lin, Qing Yi, Daniel J. Quinlan, Chunhua Liao, Yongqing Yan
2016	C	`conf`	Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas. IGARSS Chunhua Liao, JinFei Wang
2016	—	`conf`	Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution. Euro-Par Workshops Pedro C. Diniz, Chunhua Liao, Daniel J. Quinlan, Robert F. Lucas
2016	A	`conf`	Towards Ontology-Based Program Analysis. ECOOP Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen
2015	—	`conf`	Enhancing domain specific language implementations through ontology. WOLFHPC@SC Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen
2015	—	`conf`	Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applications. IWOMP Pei-Hung Lin, Chunhua Liao, Daniel J. Quinlan, Stephen M. Guzik
2015	J	`jnl`	HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications. CoRR Weidong Wang, Chunhua Liao, Liqiang Wang, Daniel J. Quinlan, Wei Lu
2015	—	`conf`	Supporting multiple accelerators in high-level programming models. PMAM@PPoPP Yonghong Yan, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, Daniel J. Quinlan
2014	—	`conf`	An Automated Performance-Aware Approach to Reliability Transformations. Euro-Par Workshops (1) Jacob Lidman, Sally A. McKee, Daniel J. Quinlan, Chunhua Liao
2013	J	`jnl`	An IconMap-based exploratory analytical approach for multivariate geospatial data. Sci. China Inf. Sci. Xianfeng Zhang, Chunhua Liao, Yu Liu, Jonathan Li
2013	—	`conf`	Early Experiences with the OpenMP Accelerator Model. IWOMP Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara M. Chapman
2013	J	`jnl`	Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation Xianfeng Zhang, Chunhua Liao, Jonathan Li, Quan Sun
2013	B	`conf`	Symbolic Analysis of Concurrency Errors in OpenMP Programs. ICPP Hongyi Ma, Steve Diersen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan, Zijiang Yang
2012	—	`conf`	An OpenMP Analyzer for Detecting Concurrency Errors. ICPP Workshops Hongyi Ma, Qichang Chen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan
2012	—	`conf`	Auto-scoping for OpenMP Tasks. IWOMP Sara Royuela, Alejandro Duran, Chunhua Liao, Daniel J. Quinlan
2012	—	`conf`	ROSE: : FTTransform - A source-to-source translation framework for exascale fault-tolerance research. DSN Workshops Jacob Lidman, Daniel J. Quinlan, Chunhua Liao, Sally A. McKee
2012	—	`conf`	Studying the impact of application-level optimizations on the power consumption of multi-core architectures. Conf. Computing Frontiers Shah Mohammad Faizur Rahman, Jichi Guo, Akshatha Bhat, Carlos D. Garcia, Majedul Haque Sujon, Qing Yi, Chunhua Liao, Daniel J. Quinlan
2011	J	`jnl`	Auto-tuning full applications: A case study. Int. J. High Perform. Comput. Appl. Ananta Tiwari, Jeffrey K. Hollingsworth, Chun Chen, Mary W. Hall, Chunhua Liao, Daniel J. Quinlan, Jacqueline Chame
2010	—	`conf`	A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries. IWOMP Chunhua Liao, Daniel J. Quinlan, Thomas Panas, Bronis R. de Supinski
2010	J	`jnl`	Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions. Int. J. Parallel Program. Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas
2009	—	`conf`	Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization. LCPC Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas
2009	—	`conf`	Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore. IWOMP Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas
2007	A	`conf`	Invited Paper: A Compile-time Cost Model for OpenMP. IPDPS Chunhua Liao, Barbara M. Chapman
2007	J	`jnl`	OpenUH: an optimizing, portable OpenMP compiler. Concurr. Comput. Pract. Exp. Chunhua Liao, Oscar R. Hernandez, Barbara M. Chapman, Wenguang Chen, Weimin Zheng
2005	—	`conf`	Evaluating OpenMP on Chip MultiThreading Platforms. IWOMP Chunhua Liao, Zhenying Liu, Lei Huang, Barbara M. Chapman
2004	—	`conf`	A Tool to Display Array Access Patterns in OpenMP Programs. PARA Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman
2004	—	`conf`	Dragon: A Static and Dynamic Tool for OpenMP. WOMPAT Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman