Elastic Executor Provisioning for Iterative Workloads on Apache Spark. - Donglin Yang; Wei Rang; Dazhao Cheng; Yu Wang 003; Jiannan Tian; Dingwen Tao (IEEE BigData, 2019)

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Sian Jin; Sheng Di; Xin Liang 001; Jiannan Tian; Dingwen Tao; Franck Cappello (HPDC, 2019)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. - Baodi Shan; Aabid Shamji; Jiannan Tian; Guanpeng Li; Dingwen Tao (IEEE BigData, 2020)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - Sian Jin; Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Jiannan Tian; Dingwen Tao; James P. Ahrens (IPDPS, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang 001; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Sian Jin; Jesus Pulido; Pascal Grosset; Jiannan Tian; Dingwen Tao; James P. Ahrens (HPDC, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang 001; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. - Jiannan Tian; Cody Rivera; Sheng Di; Jieyang Chen; Xin Liang 001; Dingwen Tao; Franck Cappello (IPDPS, 2021)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CoRR, 2021)

CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (CoRR, 2021)

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. - Xinyu Chen; Marco Minutoli; Jiannan Tian; Mahantesh Halappanavar; Ananth Kalyanaraman; Dingwen Tao (PACT, 2022)

H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. - Chengming Zhang 006; Tong Geng; Anqi Guo; Jiannan Tian; Martin C. Herbordt; Ang Li 006; Dingwen Tao (FPL, 2022)

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)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (HPDC, 2022)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. - Sian Jin; Sheng Di; Jiannan Tian; Suren Byna; Dingwen Tao; Franck Cappello (ICDE, 2022)

CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (ICS, 2022)

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Cody Rivera; Sheng Di; Jiannan Tian; Xiaodong Yu 001; Dingwen Tao; Franck Cappello (IPDPS, 2022)

Efficient Error-Bounded Lossy Compression for CPU Architectures. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon C. Calhoun; Franck Cappello (MASCOTS, 2022)

SIMD Lossy Compression for Scientific Data. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon Calhoun 001; Franck Cappello (CoRR, 2022)

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (CoRR, 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)

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Baixi Sun; Xiaodong Yu 001; Chengming Zhang 006; Jiannan Tian; Sian Jin; Kamil Iskra; Tao Zhou; Tekin Bicer; Pete Beckman; Dingwen Tao (CoRR, 2022)

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. - Pu Jiao; Sheng Di; Hanqi Guo 001; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (Proc. VLDB Endow., 2022)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (HPDC, 2023)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. - Chengming Zhang 006; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu 001; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (ICS, 2023)

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Martin Swany; Dingwen Tao; Franck Cappello (ICS, 2023)

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)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Xin Liang 001; Kai Zhao 008; Sheng Di; Sihuan Li; Robert Underwood; Ali Murat Gok; Jiannan Tian; Junjing Deng; Jon C. Calhoun; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE Trans. Big Data, 2023)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 2024)

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 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)

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)

FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data. - Xinyu Chen; Jiannan Tian; Ian Beaver; Cynthia Freeman; Yan Yan; Jianguo Wang 001; Dingwen Tao (Proc. VLDB Endow., 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)

NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. - Wenqi Jia 003; Zhewen Hu; Youyuan Liu; Boyuan Zhang 002; Jinzhen Wang; Jinyang Liu 003; Wei Niu 002; Stavros Kalafatis; Junzhou Huang; Sian Jin; Daoce Wang; Jiannan Tian; et al. (ICS, 2025)

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)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression. - Wenqi Jia 003; Ying Huang 008; Jian Xu; Zhewen Hu; Sian Jin; Jiannan Tian; Yuede Ji; Miao Yin (CoRR, 2025)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. - Shixun Wu; Jinwen Pan; Jinyang Liu 003; Jiannan Tian; Ziwei Qiu; Jiajun Huang 001; Kai Zhao 008; Xin Liang 001; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data. - Ruoyu Li; Yafan Huang; Longtao Zhang; Zhuoxun Yang; Sheng Di; Jiajun Huang 001; Jinyang Liu 003; Jiannan Tian; Xin Liang 001; Guanpeng Li; Hanqi Guo 001; Franck Cappello; et al. (CoRR, 2025)

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 002; Sian Jin; Kai Zhao 008; James P. Ahrens; Fengguang Song (CoRR, 2025)

FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines. - Skyler Ruiter; Jiannan Tian; Fengguang Song (CoRR, 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)