Chunhua Liao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
15
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. | Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao |
| 2025 | EMNLP | REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. | Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu |
| 2024 | CGO | Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. | Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen |
| 2023 | SC | Data Race Detection Using Large Language Models. | Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao |
| 2023 | SC | 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 |
| 2022 | ECSA | 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 |
| 2022 | PPoPP | Modeling optimization of stencil computations via domain-level properties. | Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels |
| 2021 | CC | Deep NLP-based co-evolvement for synthesizing code analysis from natural language. | Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao |
| 2021 | UCC | RDS: a cloud-based metaservice for detecting data races in parallel programs. | Yaying Shi, Anjia Wang, Yonghong Yan, Chunhua Liao |
| 2020 | ICS | AutoParBench: a unified test framework for OpenMP-based parallelizers. | Gleison Souza Diniz Mendonca, Chunhua Liao, Fernando Magno Quinto Pereira |
| 2020 | IGARSS | Estimating Chlorophyll Content of Rice Based on UAV-Based Hyperspectral Imagery and Continuous Wavelet Transform. | Gangqiang An, Minfeng Xing, Chunhua Liao, Binbin He |
| 2020 | SC | Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development. | Justin Gosselin, Anjia Wang, Peter Pirkelbauer, Chunhua Liao, Yonghong Yan, Damian Dechev |
| 2020 | SC | Enhancing DataRaceBench for Evaluating Data Race Detection Tools. | Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan |
| 2019 | IGARSS | Corn Biomass Estimation Using Sentinel-2 and VENS Data Based on A Simple Light Use Efficiency Method. | Chunhua Liao, Jinfei Wang, Bo Shan |
| 2019 | SC | Exploring Regression of Data Race Detection Tools Using DataRaceBench. | Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin |
| 2019 | SC | Lightning Talks of EduHPC 2019. | 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 | SC | Machine Learning Guided Optimal Use of GPU Unified Memory. | Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao |
| 2018 | ISoLA | Runtime and Memory Evaluation of Data Race Detection Tools. | Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin |
| 2018 | PPoPP | Bridging the gap between deep learning and sparse matrix format selection. | Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen |
| 2018 | SC | 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 |
| 2018 | SC | Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. | Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao |
| 2018 | SC | Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. | Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar |
| 2017 | PPoPP | Directive-based tile abstraction to distribute loops on accelerators. | Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan |
| 2017 | PPoPP | POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. | Yue Zhao, Chunhua Liao, Xipeng Shen |
| 2017 | SC | DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. | Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin |
| 2016 | ECOOP | Towards Ontology-Based Program Analysis. | Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen |
| 2016 | EuroPar | Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution. | Pedro C. Diniz, Chunhua Liao, Daniel J. Quinlan, Robert F. Lucas |
| 2016 | IGARSS | Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas. | Chunhua Liao, Jinfei Wang |
| 2015 | PPoPP | Supporting multiple accelerators in high-level programming models. | Yonghong Yan, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, Daniel J. Quinlan |
| 2015 | SC | Enhancing domain specific language implementations through ontology. | Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen |
| 2014 | EuroPar | An Automated Performance-Aware Approach to Reliability Transformations. | Jacob Lidman, Sally A. McKee, Daniel J. Quinlan, Chunhua Liao |
| 2013 | ICPP | Symbolic Analysis of Concurrency Errors in OpenMP Programs. | Hongyi Ma, Steve Diersen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan, Zijiang Yang |
| 2012 | DSN | ROSE: : FTTransform - A source-to-source translation framework for exascale fault-tolerance research. | Jacob Lidman, Daniel J. Quinlan, Chunhua Liao, Sally A. McKee |