Sian Jin

Most-cited papers

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Jian-Nan Tian, Sheng Di, Kai Zhao, Cody Rivera +7 more
2020International Conference on Parallel Architectures and Compilation Techniques138 citations Open access
Semantic Scholar
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang +22 more
2024ACM Computing Surveys96 citations Open access
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DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
Sian Jin, Sheng Di, Xin Liang, Jian-Nan Tian +2 more
2019IEEE International Symposium on High-Performance Parallel Distributed Computing80 citations Open access
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Exploring Autoencoder-based Error-bounded Compression for Scientific Data
Jin-Yang Liu, Sheng Di, Kai Zhao, Sian Jin +4 more
2021IEEE International Conference on Cluster Computing78 citations Open access
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Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
Sian Jin, Pascal Grosset, C. Biwer, Jesus Pulido +3 more
2020IEEE International Parallel and Distributed Processing Symposium58 citations Open access
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High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang +6 more
2023Proc. ACM Manag. Data50 citations Open access
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COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Sian Jin, Cheng-Ming Zhang, Xintong Jiang, Yunhe Feng +4 more
2021Proceedings of the VLDB Endowment43 citations
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Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Jian-Nan Tian, Sheng Di, Xiaodong Yu, Cody Rivera +6 more
2021IEEE International Conference on Cluster Computing38 citations Open access
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Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning
Haoyu Jin, Donglei Wu, Shu-Yu Zhang, Xiang-Yu Zou +4 more
2023IEEE Transactions on Parallel and Distributed Systems37 citations
Semantic Scholar
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di +3 more
2022International Conference for High Performance Computing, Networking, Storage and Analysis37 citations Open access
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Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling
Sian Jin, Jesus Pulido, Pascal Grosset, Jian-Nan Tian +2 more
2021IEEE International Symposium on High-Performance Parallel Distributed Computing37 citations Open access
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Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling
Sian Jin, Sheng Di, Jian-Nan Tian, S. Byna +2 more
2021IEEE International Conference on Data Engineering32 citations Open access
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waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data
Jian-Nan Tian, Sheng Di, Cheng-Ming Zhang, Xin Liang +4 more
2020ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming29 citations
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AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications
Daoce Wang, Jesus Pulido, Pascal Grosset, Jian-Nan Tian +10 more
2023International Conference for High Performance Computing, Networking, Storage and Analysis27 citations Open access
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Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity
Zhen-Bo Hu, Xiang-Yu Zou, Wen Xia, Sian Jin +4 more
2020International Conference on Parallel Processing26 citations
Semantic Scholar
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing
Franck Cappello, Mario Acosta, E. Agullo, H. Anzt +16 more
2024Future generations computer systems22 citations Open access
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Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao +3 more
2023BigData Congress [Services Society]19 citations
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CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression
Cheng-Ming Zhang, Sian Jin, T. Geng, Jian-Nan Tian +2 more
2021International Conference on Supercomputing19 citations Open access
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ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning
Cheng-Ming Zhang, Geng Yuan, Wei Niu, Jian-Nan Tian +7 more
2020International Conference on Supercomputing18 citations Open access
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Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling
Sian Jin, Sheng Di, F. Vivien, Daoce Wang +3 more
2024European Conference on Computer Systems17 citations Open access
Semantic Scholar
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin +3 more
2022IEEE International Symposium on High-Performance Parallel Distributed Computing17 citations Open access
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Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin +5 more
2022IEEE Transactions on Parallel and Distributed Systems14 citations
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A novel memory-efficient deep learning training framework via error-bounded lossy compression
Sian Jin, Guan-Peng Li, S. Song, Dingwen Tao
2020ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming14 citations Open access
Semantic Scholar
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao +3 more
2023arXiv.org13 citations Open access
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FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression
Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin +6 more
2025IEEE Transactions on Parallel and Distributed Systems12 citations
Semantic Scholar
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin +4 more
2023IEEE Transactions on Parallel and Distributed Systems11 citations Open access
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What to Support When You’re Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression
Franck Cappello, Robert Underwood, Yuri Alexeev, Allison Baker +28 more
2025International Conference on Software Composition9 citations Open access
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KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
Bo Jiang, Taolue Yang, You-Yuan Liu, Cheng-Ming Zhang +2 more
2025arXiv.org9 citations
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COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers
Bai-Xi Sun, Wei-Jin Liu, J. Pauloski, Jian-Nan Tian +12 more
2025ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming9 citations Open access
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NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression
Wenqi Jia, Zhewen Hu, You-Yuan Liu, Boyuan Zhang +9 more
2024International Conference on Supercomputing9 citations Open access
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GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
Wenqi Jia, Sian Jin, Jin-Zhen Wang, Wei Niu +2 more
2024FlexScience@HPDC9 citations Open access
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Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights
B. Fang, Daoce Wang, Sian Jin, Q. Koziol +5 more
2021IEEE International Conference on Cluster Computing8 citations Open access
Semantic Scholar
Event-VStream: Event-Driven Real-Time Understanding for Long Video Streams
Zhenghui Guo, Yuanbin Man, Junyuan Sheng, Bowen Lin +7 more
20262026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)7 citations
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Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases
Yang Shi, Xiang-Yu Zou, Xinyu Chen, Sian Jin +4 more
2024Data Compression Conference7 citations Open access
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Advancing Scientific Data Compression via Cross-Field Prediction
You-Yuan Liu, Wenqi Jia, Taolue Yang, Bo Jiang +2 more
2025IEEE International Symposium on High-Performance Parallel Distributed Computing6 citations
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Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
You-Yuan Liu, Wenqi Jia, Taolue Yang, Miao Yin +1 more
2024SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis6 citations Open access
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NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data
Wenqi Jia, You-Yuan Liu, Zhewen Hu, Jin-Zhen Wang +6 more
2024arXiv.org6 citations
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STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
Daoce Wang, Pascal Grosset, Jesus Pulido, Jian-Nan Tian +8 more
2025International Conference on Software Composition5 citations Open access
Semantic Scholar
GPUFASTQLZ: An Ultra Fast Compression Methodology for Fastq Sequence Data on GPUs
Taolue Yang, You-Yuan Liu, Bo Jiang, Sian Jin
2024SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis5 citations
Semantic Scholar
SeqBench: A Benchmark Suite for Lossless and Lossy Compression of Sequence Data
Taolue Yang, You-Yuan Liu, Chong Li, X. Shi +1 more
2024ACM International Conference on Bioinformatics, Computational Biology and Biomedicine4 citations
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Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin +5 more
2021International Conference on High Performance Computing4 citations
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KVSculpt: KV Cache Compression as Distillation
Bo Jiang, Sian Jin
2026arXiv.org3 citations
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PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
Bo Jiang, Taolue Yang, You-Yuan Liu, Xubin He +2 more
2025IEEE International Parallel and Distributed Processing Symposium3 citations
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Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving
You-Yuan Liu, Sheng Di, Neil Getty, Tanwi Mallick +2 more
2025SC25-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis3 citations
Semantic Scholar
3D Gaussian Splatting for Scientific Particle Data Compression and Rendering
Bo Jiang, You-Yuan Liu, Taolue Yang, Sheng Di +1 more
2026arXiv.org2 citations
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Accurate Performance Modeling and Uncertainty Analysis of Lossy Compression in Scientific Applications
You-Yuan Liu, Taolue Yang, Sian Jin
2024Data Compression Conference2 citations Open access
Semantic Scholar
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance
Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman +2 more
2023SC Workshops2 citations Open access
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Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis
Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin +5 more
20212021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7)2 citations
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An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning
Cheng-Ming Zhang, Geng Yuan, Wei Niu, Jian-Nan Tian +7 more
2020arXiv.org2 citations
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GPUFast-$Q$: Novel High-Throughput Sequence Data Compression on GPUs Using Fine-Grained Parallelism
Taolue Yang, You-Yuan Liu, Bo Jiang, Chong Li +2 more
2026Data Compression Conference1 citations
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