Sian Jin

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jiannan Tian

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Publications

2025
[j14]
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Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. ACM Comput. Surv. 57(11): 287:1-287:38 (2025)
[j13]
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Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025)
[c37]
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  - conf/ppopp/SunLPTJWZZDJZ0I25
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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:
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. PPoPP 2025: 212-224
[i31]
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  - journals/corr/abs-2507-01224
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Wenqi Jia, Ying Huang, Jian Xu, Zhewen Hu, Sian Jin, Jiannan Tian, Yuede Ji, Miao Yin:
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression. CoRR abs/2507.01224 (2025)
2024
[j9]
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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): 421-438 (2024)
[i30]
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  - journals/corr/abs-2404-02840
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Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024)
2023
[c28]
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  - conf/sc/WangPGTJTSD0FLC23
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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: 44:1-44:15
[i24]
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  - journals/corr/abs-2301-01901
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Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023)
[i22]
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  - journals/corr/abs-2307-09609
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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 abs/2307.09609 (2023)
2022
[c26]
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  - conf/hpdc/WangPGJTAT22
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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: 135-147
[c25]
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  - conf/icde/JinDTBTC22
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Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE 2022: 2494-2507
[c24]
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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: 12:1-12:13
[i19]
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  - journals/corr/abs-2204-00711
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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 abs/2204.00711 (2022)
[i17]
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  - journals/corr/abs-2211-00224
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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 abs/2211.00224 (2022)
2021
[c20]
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  - conf/cluster/TianDYRZJFLTC21
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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: 283-293
[c16]
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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: 45-56
[c15]
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  - conf/ics/ZhangYNTJZ0WRST21
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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: 266-278
[i16]
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  - journals/corr/abs-2104-00178
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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 abs/2104.00178 (2021)
[i14]
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  - journals/corr/abs-2105-12912
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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 abs/2105.12912 (2021)
[i12]
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  - journals/corr/abs-2106-13306
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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 abs/2106.13306 (2021)
[i10]
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  - journals/corr/abs-2111-09815
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Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR abs/2111.09815 (2021)
2020
[c10]
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  - conf/IEEEpact/TianDZRFUJLCTC20
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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: 3-15
[c8]
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  - conf/ipps/JinGBPTTA20
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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: 105-115
[c7]
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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: 74-88
[i9]
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  - journals/corr/abs-2004-00224
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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 abs/2004.00224 (2020)
[i8]
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  - journals/corr/abs-2007-09625
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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 abs/2007.09625 (2020)
[i6]
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  - journals/corr/abs-2011-10170
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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 abs/2011.10170 (2020)
2019
[c4]
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  - conf/hpdc/JinDLTTC19
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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: 159-170
[i5]
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  - journals/corr/abs-1901-09124
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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 abs/1901.09124 (2019)

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