Research on the Monitoring Method of the Road Communication Network Quality Based on Vehicle Borne Internet of Things. - Baihua Ji; Xiao Liu; Tenghui Ke; Rongjie Kuang; Zibin Gao; Daoce Wang (ChinaCom (2), 2017)

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. - Bo Fang 002; Daoce Wang; Sian Jin; Quincey Koziol; Zhao Zhang 007; Qiang Guan; Suren Byna; Sriram Krishnamoorthy; Dingwen Tao (CLUSTER, 2021)

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 (HPDC, 2022)

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 (CoRR, 2022)

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 (SC Workshops, 2023)

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 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. - Sian Jin; Sheng Di; Frédéric Vivien; Daoce Wang; Yves Robert; Dingwen Tao; Franck Cappello (EuroSys, 2024)

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. - Jinda Jia; Cong Xie; Hanlin Lu; Daoce Wang; Hao Feng; Chengming Zhang 006; Baixi Sun; Haibin Lin; Zhi Zhang; Xin Liu; Dingwen Tao (NeurIPS, 2024)

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 001 (SC Workshops, 2024)

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 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 2024)

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience. - Qing Zheng; Brian Atkinson; Daoce Wang; Jason Lee 004; John Patchett; Dominic Manno; Gary Grider (SC Workshops, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)

High-performance Visual Semantics Compression for AI-Driven Science. - Boyuan Zhang 002; Luanzheng Guo; Jiannan Tian; Jinyang Liu 003; Daoce Wang; Fanjiang Ye; Chengming Zhang 006; Jan Strube 001; Nathan R. Tallent; Dingwen Tao (PPoPP, 2025)

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 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)