Scholar
Daoce Wang
Google Scholar ID: moDz23sAAAAJ
University of Nebraska Omaha
Citations & Impact
Citations
110
H-index
7
i10-index
4
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published over ten papers in top-tier venues in computer systems and AI, including SC, PPoPP, TPDS, HPDC, ICS, EuroSys, and NeurIPS
- - Selected Publications:
- - SC '25: STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
- - SC '24: A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
- - TPDS '24: TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulation
- - SC '23: AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications
- - HPDC '22: TAC: Optimizing Error-Bounded Lossy Compression for Three Dimensional Adaptive Mesh Refinement Simulations
- - CLUSTER '21: Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights
- - NeurIPS '25: DUO: No C
Research Experience
- - Summer research intern at Los Alamos National Laboratory in 2021, 2022, 2023, and 2024
Education
- - Ph.D. in Computer Engineering, Indiana University, Bloomington, IN (2022 - 2025), Advisors: Dr. Fengguang Song and Dr. Dingwen Tao
- - Ph.D. Candidate in Computer Science, Washington State University, Pullman, WA (2020 - 2022), Advisor: Dr. Dingwen Tao
- - M.S. in Computer Science, University of Florida, Gainesville, FL (2020)
- - B.S. in Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China (2018)
Background
- - Research Interests: High-performance computing (HPC), scientific data management and analytics, scientific data compression and visualization, high-performance machine learning
- - Position: Assistant Professor, Department of Computer Science, University of Nebraska Omaha
Co-authors