Daoce Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2021–2026
Best venue rank
A
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPDC | OPAL: On-demand Progressive Accelerated Scientific Lossy Compression. | Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao |
| 2025 | ICS | NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. | Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin |
| 2025 | PPoPP | High-performance Visual Semantics Compression for AI-Driven Science. | Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao |
| 2025 | PPoPP | COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. | Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao |
| 2025 | SC | STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. | Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song |
| 2025 | SC | Secure In-Storage Execution of VTK Workloads on Modern Parallel NFS Data Servers. | Qing Zheng, Brian Atkinson, Jason Lee, Daoce Wang, Gary Grider |
| 2024 | EuroSys | Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. | Sian Jin, Sheng Di, Frdric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello |
| 2024 | SC | An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction. | Yanni Etchi, Daoce Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens, David H. Rogers |
| 2024 | SC | A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. | Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao |
| 2024 | SC | Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience. | Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider |
| 2023 | SC | Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. | Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao |
| 2023 | SC | AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. | Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao |
| 2022 | HPDC | TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. | Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao |
| 2021 | CLUSTER | Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. | Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao |