Sian Jin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
15
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | EmbdC: Error-Bounded Lossy Video Embedding Compression for On-Device LLM Inference. | Bo Jiang, Taolue Yang, Youyuan Liu, Xubin He, Sheng Di, Sian Jin |
| 2026 | DCC | EmbdC: Error-Bounded Lossy Video Embedding Compression for On-Device LLM Inference. | Bo Jiang, Taolue Yang, Youyuan Liu, Sheng Di, Sian Jin |
| 2026 | DCC | GPUFast-$Q$: Novel High-Throughput Sequence Data Compression on GPUs Using Fine-Grained Parallelism. | Taolue Yang, Youyuan Liu, Bo Jiang, Chong Li, Xinghua Shi, Sian Jin |
| 2026 | ICS | GFAz: State-of-the-Art Graphical Fragment Assembly Compression. | Taolue Yang, Youyuan Liu, Bo Jiang, Xinghua Shi, Sian Jin |
| 2025 | DCC | Accurate Performance Modeling and Uncertainty Analysis of Lossy Compression in Scientific Applications. | Youyuan Liu, Taolue Yang, Sian Jin |
| 2025 | HPDC | Advancing Scientific Data Compression via Cross-Field Prediction. | Youyuan Liu, Wenqi Jia, Taolue Yang, Bo Jiang, Miao Yin, Sian Jin |
| 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 | 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 | 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 H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao |
| 2025 | SC | Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving. | Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin |
| 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 |
| 2024 | DCC | Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases. | Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia |
| 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 | Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. | Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin |
| 2024 | SC | GPUFASTQLZ: An Ultra Fast Compression Methodology for Fastq Sequence Data on GPUs. | Taolue Yang, Youyuan Liu, Bo Jiang, Sian Jin |
| 2023 | ICASSP | Spatial-Domain Object Detection Under Mimo-Fmcw Automotive Radar Interference. | Sian Jin, Pu Wang, Petros Boufounos, Ryuhei Takahashi, Sumit Roy |
| 2023 | SC | LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. | Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello |
| 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 |
| 2022 | ICDE | Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. | Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello |
| 2022 | ICS | CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. | Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao |
| 2022 | SC | Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. | Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello |
| 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 |
| 2021 | CLUSTER | Exploring Autoencoder-based Error-bounded Compression for Scientific Data. | Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | CLUSTER | Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. | Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2021 | HiPC | Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. | Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2021 | HPDC | 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 |
| 2021 | ICS | ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. | Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | PPoPP | A novel memory-efficient deep learning training framework via error-bounded lossy compression. | Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | VTC | Slow-Time Waveform Randomization Performance under Incoherent FMCW Radar Interference. | Sian Jin, Jun Hyeon Park, Sumit Roy |
| 2021 | SC | Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. | Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2020 | ICPP | Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. | Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang |
| 2020 | PPoPP | waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. | Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello |
| 2020 | VTC | Cross-Layer Interference Modeling and Performance Analysis in FMCW Radar Multiple Access Network. | Sian Jin, Sumit Roy |
| 2019 | HPDC | DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. | Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello |
| 2018 | WiOpt | Uncoded placement optimization for coded delivery. | Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire |
| 2016 | GLOBECOM | Order-Optimal Decentralized Coded Caching Schemes with Good Performance in Finite File Size Regime. | Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire |