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Sian Jin
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 63
Top Topics
Lossy Compression
File Size
Deep Learning
Neural Network
Top Venues
CoRR
WNS3
HPDC
IEEE Trans. Parallel Distributed Syst.
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Publications
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Daoce Wang
,
Jesus Pulido
,
Pascal Grosset
,
Sian Jin
,
Jiannan Tian
,
Kai Zhao
,
James P. Ahrens
,
Dingwen Tao
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst.
35 (3) (2024)
Robert Underwood
,
Sheng Di
,
Sian Jin
,
Md Hasanur Rahman
,
Arham Khan
,
Franck Cappello
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
SC Workshops
(2023)
Daoce Wang
,
Jesus Pulido
,
Pascal Grosset
,
Sian Jin
,
Jiannan Tian
,
Kai Zhao
,
James Arhens
,
Dingwen Tao
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR
(2023)
Jinyang Liu
,
Sheng Di
,
Sian Jin
,
Kai Zhao
,
Xin Liang
,
Zizhong Chen
,
Franck Cappello
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR
(2023)
Daoce Wang
,
Jesus Pulido
,
Pascal Grosset
,
Jiannan Tian
,
Sian Jin
,
Houjun Tang
,
Jean M. Sexton
,
Sheng Di
,
Zarija Lukic
,
Kai Zhao
,
Bo Fang
,
Franck Cappello
,
James P. Ahrens
,
Dingwen Tao
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
(2023)
Liu Cao
,
Lyutianyang Zhang
,
Sian Jin
,
Sumit Roy
Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations.
IEEE Wirel. Commun. Lett.
12 (3) (2023)
Jinyang Liu
,
Sheng Di
,
Kai Zhao
,
Xin Liang
,
Sian Jin
,
Zizhe Jian
,
Jiajun Huang
,
Shixun Wu
,
Zizhong Chen
,
Franck Cappello
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
CoRR
(2023)
Sian Jin
,
Pu Wang
,
Petros Boufounos
,
Ryuhei Takahashi
,
Sumit Roy
Spatial-Domain Object Detection Under Mimo-Fmcw Automotive Radar Interference.
ICASSP
(2023)
Haoyu Jin
,
Donglei Wu
,
Shuyu Zhang
,
Xiangyu Zou
,
Sian Jin
,
Dingwen Tao
,
Qing Liao
,
Wen Xia
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst.
34 (3) (2023)
Sian Jin
,
Pu Perry Wang
,
Petros Boufounos
,
Philip V. Orlik
,
Ryuhei Takahashi
,
Sumit Roy
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar.
CoRR
(2023)
Jinyang Liu
,
Sheng Di
,
Sian Jin
,
Kai Zhao
,
Xin Liang
,
Zizhong Chen
,
Franck Cappello
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
BigData
(2023)
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
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
(2023)
Chengming Zhang
,
Sian Jin
,
Tong Geng
,
Jiannan Tian
,
Ang Li
,
Dingwen Tao
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
ICS
(2022)
Sian Jin
,
Dingwen Tao
,
Houjun Tang
,
Sheng Di
,
Suren Byna
,
Zarija Lukic
,
Franck Cappello
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
SC
(2022)
Sian Jin
,
Dingwen Tao
,
Houjun Tang
,
Sheng Di
,
Suren Byna
,
Zarija Lukic
,
Franck Cappello
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
CoRR
(2022)
Sian Jin
,
Pu Wang
,
Petros Boufounos
,
Philip V. Orlik
,
Ryuhei Takahashi
,
Sumit Roy
Spatial-Domain Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar.
SAM
(2022)
Daoce Wang
,
Jesus Pulido
,
Pascal Grosset
,
Sian Jin
,
Jiannan Tian
,
James P. Ahrens
,
Dingwen Tao
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR
(2022)
Daoce Wang
,
Jesus Pulido
,
Pascal Grosset
,
Sian Jin
,
Jiannan Tian
,
James P. Ahrens
,
Dingwen Tao
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
HPDC
(2022)
Sian Jin
,
Sheng Di
,
Jiannan Tian
,
Suren Byna
,
Dingwen Tao
,
Franck Cappello
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
ICDE
(2022)
Baixi Sun
,
Xiaodong Yu
,
Chengming Zhang
,
Jiannan Tian
,
Sian Jin
,
Kamil Iskra
,
Tao Zhou
,
Tekin Bicer
,
Pete Beckman
,
Dingwen Tao
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
(2022)
Hao Yin
,
Sumit Roy
,
Sian Jin
IEEE WLANs in 5 vs 6 GHz: A Comparative Study.
WNS3
(2022)
Yuanjian Liu
,
Sheng Di
,
Kai Zhao
,
Sian Jin
,
Cheng Wang
,
Kyle Chard
,
Dingwen Tao
,
Ian T. Foster
,
Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst.
33 (10) (2022)
Sian Jin
,
Sumit Roy
,
Thomas R. Henderson
EESM-log-AR: an efficient error model for OFDM MIMO systems over time-varying channels.
WNS3
(2021)
Sian Jin
,
Sumit Roy
FMCW Radar Network: Multiple Access and Interference Mitigation.
IEEE J. Sel. Top. Signal Process.
15 (4) (2021)
Chengming Zhang
,
Sian Jin
,
Tong Geng
,
Jiannan Tian
,
Ang Li
,
Dingwen Tao
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR
(2021)
Sian Jin
,
Jesus Pulido
,
Pascal Grosset
,
Jiannan Tian
,
Dingwen Tao
,
James P. Ahrens
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
HPDC
(2021)
Chengming Zhang
,
Geng Yuan
,
Wei Niu
,
Jiannan Tian
,
Sian Jin
,
Donglin Zhuang
,
Zhe Jiang
,
Yanzhi Wang
,
Bin Ren
,
Shuaiwen Leon Song
,
Dingwen Tao
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
(2021)
Sian Jin
,
Chengming Zhang
,
Xintong Jiang
,
Yunhe Feng
,
Hui Guan
,
Guanpeng Li
,
Shuaiwen Song
,
Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow.
15 (4) (2021)
Jinyang Liu
,
Sheng Di
,
Kai Zhao
,
Sian Jin
,
Dingwen Tao
,
Xin Liang
,
Zizhong Chen
,
Franck Cappello
Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
CLUSTER
(2021)
Jiannan Tian
,
Sheng Di
,
Xiaodong Yu
,
Cody Rivera
,
Kai Zhao
,
Sian Jin
,
Yunhe Feng
,
Xin Liang
,
Dingwen Tao
,
Franck Cappello
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
(2021)
Yuanjian Liu
,
Sheng Di
,
Kai Zhao
,
Sian Jin
,
Cheng Wang
,
Kyle Chard
,
Dingwen Tao
,
Ian T. Foster
,
Franck Cappello
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
HiPC
(2021)
Bo Fang
,
Daoce Wang
,
Sian Jin
,
Quincey Koziol
,
Zhao Zhang
,
Qiang Guan
,
Suren Byna
,
Sriram Krishnamoorthy
,
Dingwen Tao
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CLUSTER
(2021)
Sian Jin
,
Sheng Di
,
Jiannan Tian
,
Suren Byna
,
Dingwen Tao
,
Franck Cappello
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling.
CoRR
(2021)
Sian Jin
,
Sumit Roy
,
Thomas R. Henderson
Efficient PHY Layer Abstraction for Fast Simulations in Complex System Environments.
IEEE Trans. Commun.
69 (8) (2021)
Sian Jin
,
Jesus Pulido
,
Pascal Grosset
,
Jiannan Tian
,
Dingwen Tao
,
James P. Ahrens
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
CoRR
(2021)
Yuanjian Lin
,
Sheng Di
,
Kai Zhao
,
Sian Jin
,
Cheng Wang
,
Kyle Chard
,
Dingwen Tao
,
Ian T. Foster
,
Franck Cappello
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
DRBSD@SC
(2021)
Sian Jin
,
Chengming Zhang
,
Xintong Jiang
,
Yunhe Feng
,
Hui Guan
,
Guanpeng Li
,
Shuaiwen Leon Song
,
Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
CoRR
(2021)
Jiannan Tian
,
Sheng Di
,
Xiaodong Yu
,
Cody Rivera
,
Kai Zhao
,
Sian Jin
,
Yunhe Feng
,
Xin Liang
,
Dingwen Tao
,
Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CLUSTER
(2021)
Bo Fang
,
Daoce Wang
,
Sian Jin
,
Quincey Koziol
,
Zhao Zhang
,
Qiang Guan
,
Suren Byna
,
Sriram Krishnamoorthy
,
Dingwen Tao
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CoRR
(2021)
Sian Jin
,
Jun Hyeon Park
,
Sumit Roy
Slow-Time Waveform Randomization Performance under Incoherent FMCW Radar Interference.
VTC Fall
(2021)
Sian Jin
,
Guanpeng Li
,
Shuaiwen Leon Song
,
Dingwen Tao
A novel memory-efficient deep learning training framework via error-bounded lossy compression.
PPoPP
(2021)
Jinyang Liu
,
Sheng Di
,
Kai Zhao
,
Sian Jin
,
Dingwen Tao
,
Xin Liang
,
Zizhong Chen
,
Franck Cappello
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data.
CoRR
(2021)
Sian Jin
,
Pascal Grosset
,
Christopher M. Biwer
,
Jesus Pulido
,
Jiannan Tian
,
Dingwen Tao
,
James P. Ahrens
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
CoRR
(2020)
Chengming Zhang
,
Geng Yuan
,
Wei Niu
,
Jiannan Tian
,
Sian Jin
,
Donglin Zhuang
,
Zhe Jiang
,
Yanzhi Wang
,
Bin Ren
,
Shuaiwen Leon Song
,
Dingwen Tao
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
(2020)
Sian Jin
,
Sumit Roy
,
Weihua Jiang
,
Thomas R. Henderson
Efficient Abstractions for Implementing TGn Channel and OFDM-MIMO Links in ns-3.
WNS3
(2020)
Sian Jin
,
Guanpeng Li
,
Shuaiwen Leon Song
,
Dingwen Tao
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression.
CoRR
(2020)
Jiannan Tian
,
Sheng Di
,
Chengming Zhang
,
Xin Liang
,
Sian Jin
,
Dazhao Cheng
,
Dingwen Tao
,
Franck Cappello
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
PPoPP
(2020)
Jiannan Tian
,
Sheng Di
,
Kai Zhao
,
Cody Rivera
,
Megan Hickman Fulp
,
Robert Underwood
,
Sian Jin
,
Xin Liang
,
Jon Calhoun
,
Dingwen Tao
,
Franck Cappello
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
CoRR
(2020)
Zhenbo Hu
,
Xiangyu Zou
,
Wen Xia
,
Sian Jin
,
Dingwen Tao
,
Yang Liu
,
Weizhe Zhang
,
Zheng Zhang
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
ICPP
(2020)
Jiannan Tian
,
Sheng Di
,
Kai Zhao
,
Cody Rivera
,
Megan Hickman Fulp
,
Robert Underwood
,
Sian Jin
,
Xin Liang
,
Jon Calhoun
,
Dingwen Tao
,
Franck Cappello
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
PACT
(2020)
Sian Jin
,
Pascal Grosset
,
Christopher M. Biwer
,
Jesus Pulido
,
Jiannan Tian
,
Dingwen Tao
,
James P. Ahrens
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
IPDPS
(2020)
Qi Wang
,
Ying Cui
,
Sian Jin
,
Junni Zou
,
Chenglin Li
,
Hongkai Xiong
Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes.
IEEE Trans. Commun.
68 (4) (2020)
Sian Jin
,
Sumit Roy
Cross-Layer Interference Modeling and Performance Analysis in FMCW Radar Multiple Access Network.
VTC Fall
(2020)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
A New Order-Optimal Decentralized Coded Caching Scheme With Good Performance in the Finite File Size Regime.
IEEE Trans. Commun.
67 (8) (2019)
Qi Wang
,
Ying Cui
,
Sian Jin
,
Junni Zou
,
Chenglin Li
,
Hongkai Xiong
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes.
SPAWC
(2019)
Sian Jin
,
Sheng Di
,
Xin Liang
,
Jiannan Tian
,
Dingwen Tao
,
Franck Cappello
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
HPDC
(2019)
Qi Wang
,
Ying Cui
,
Sian Jin
,
Junni Zou
,
Chenglin Li
,
Hongkai Xiong
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size.
CoRR
(2019)
Sian Jin
,
Sheng Di
,
Xin Liang
,
Jiannan Tian
,
Dingwen Tao
,
Franck Cappello
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
CoRR
(2019)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
Uncoded placement optimization for coded delivery.
WiOpt
(2018)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
Uncoded Placement Optimization for Coded Delivery.
CoRR
(2017)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
Structural Properties of Uncoded Placement Optimization for Coded Delivery.
CoRR
(2017)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
New Order-Optimal Decentralized Coded Caching Schemes with Good Performance in the Finite File Size Regime.
CoRR
(2016)
Sian Jin
,
Ying Cui
,
Hui Liu
,
Giuseppe Caire
Order-Optimal Decentralized Coded Caching Schemes with Good Performance in Finite File Size Regime.
GLOBECOM
(2016)