Sian Jin

94 papers A* 1A 13B 10C 3Misc 2Journal 50Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Event-VStream: Event-Driven Real-Time Understanding for Long Video Streams.
CoRR
Zhenghui Guo, Yuanbin Man, Junyuan Sheng, Bowen Lin, Ahmed Ahmed, Bo Jiang, Boyuan Zhang, Miao Yin, Sian Jin, Omprakash Gnawal, Chengming Zhang
2026 J jnl
KVSculpt: KV Cache Compression as Distillation.
CoRR
Bo Jiang, Sian Jin
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
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
2025 B conf
Accurate Performance Modeling and Uncertainty Analysis of Lossy Compression in Scientific Applications.
DCC
Youyuan Liu, Taolue Yang, Sian Jin
2025 A conf
Advancing Scientific Data Compression via Cross-Field Prediction.
HPDC
Youyuan Liu, Wenqi Jia, Taolue Yang, Bo Jiang, Miao Yin, Sian Jin
2025 — conf
Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving.
SC Workshops
Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
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 — book
Cloud Computing and Big Data Technology, Second Edition
Cloud Computing and Big Data Technology (2nd Ed.)
Junxiu An, Sian Jin, Lilang Wan
2025 J jnl
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression.
CoRR
Wenqi Jia, Ying Huang, Jian Xu, Zhewen Hu, Sian Jin, Jiannan Tian, Yuede Ji, Miao Yin
2025 J jnl
FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression.
IEEE Trans. Parallel Distributed Syst.
Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello
2025 J jnl
KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache.
CoRR
Bo Jiang, Taolue Yang, Youyuan Liu, Chengming Zhang, Xubin He, Sian Jin
2025 J jnl
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
Future Gener. Comput. Syst.
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
2025 A conf
NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression.
ICS
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 J jnl
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression.
CoRR
Bo Jiang, Taolue Yang, Youyuan Liu, Xubin He, Sheng Di, Sian Jin
2025 A conf
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
SC
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
2025 J jnl
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
CoRR
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
2025 J jnl
Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar.
IEEE Trans. Veh. Technol.
Sian Jin, Pu Wang, Petros T. Boufounos, Philip V. Orlik, Ryuhei Takahashi, Sumit Roy
2025 A conf
What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression.
SC
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
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
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
2024 J jnl
Accurate Performance Modeling And Uncertainty Analysis of Lossy Compression in Scientific Applications.
CoRR
Youyuan Liu, Taolue Yang, Sian Jin
2024 A conf
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
EuroSys
Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello
2024 — conf
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications.
SC Workshops
Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin
2024 J jnl
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications.
CoRR
Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin
2024 — conf
GPUFASTQLZ: An Ultra Fast Compression Methodology for Fastq Sequence Data on GPUs.
SC Workshops
Taolue Yang, Youyuan Liu, Bo Jiang, Sian Jin
2024 — conf
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
FlexScience@HPDC
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
CoRR
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2024 B conf
Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases.
DCC
Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia
2024 J jnl
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data.
CoRR
Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin
2024 J jnl
Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO.
CoRR
Liu Cao, Lyutianyang Zhang, Sumit Roy, Sian Jin
2024 — conf
SeqBench: A Benchmark Suite for Lossless and Lossy Compression of Sequence Data.
BCB
Taolue Yang, Youyuan Liu, Chong Li, Xinhua Mindy Shi, Sian Jin
2024 J jnl
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst.
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
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
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
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
2023 J jnl
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia
2023 J jnl
Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations.
IEEE Wirel. Commun. Lett.
Liu Cao, Lyutianyang Zhang, Sian Jin, Sumit Roy
2023 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2023 — conf
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
SC Workshops
Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello
2023 J jnl
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar.
CoRR
Sian Jin, Pu Wang, Petros Boufounos, Philip V. Orlik, Ryuhei Takahashi, Sumit Roy
2023 J jnl
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 B conf
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
IEEE Big Data
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 Misc conf
Spatial-Domain Object Detection Under Mimo-Fmcw Automotive Radar Interference.
ICASSP
Sian Jin, Pu Wang, Petros Boufounos, Ryuhei Takahashi, Sumit Roy
2023 J jnl
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2022 A conf
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
SC
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 J jnl
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
CoRR
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 A conf
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
ICS
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2022 — conf
IEEE WLANs in 5 vs 6 GHz: A Comparative Study.
WNS3
Hao Yin, Sumit Roy, Sian Jin
2022 A* conf
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
ICDE
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst.
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
2022 — conf
Spatial-Domain Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar.
SAM
Sian Jin, Pu Wang, Petros Boufounos, Philip V. Orlik, Ryuhei Takahashi, Sumit Roy
2022 A conf
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
HPDC
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2021 B conf
A novel memory-efficient deep learning training framework via error-bounded lossy compression.
PPoPP
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2021 A conf
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
HPDC
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 J jnl
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
CoRR
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 J jnl
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2021 J jnl
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
CoRR
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2021 J jnl
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow.
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao
2021 C conf
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CLUSTER
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 J jnl
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CoRR
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 A conf
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2021 — conf
EESM-log-AR: an efficient error model for OFDM MIMO systems over time-varying channels.
WNS3
Sian Jin, Sumit Roy, Thomas R. Henderson
2021 J jnl
Efficient PHY Layer Abstraction for Fast Simulations in Complex System Environments.
IEEE Trans. Commun.
Sian Jin, Sumit Roy, Thomas R. Henderson
2021 J jnl
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 C conf
Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
CLUSTER
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 J jnl
FMCW Radar Network: Multiple Access and Interference Mitigation.
IEEE J. Sel. Top. Signal Process.
Sian Jin, Sumit Roy
2021 J jnl
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling.
CoRR
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2021 C conf
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CLUSTER
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 Misc conf
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
HiPC
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 — conf
Slow-Time Waveform Randomization Performance under Incoherent FMCW Radar Interference.
VTC Fall
Sian Jin, Jun Hyeon Park, Sumit Roy
2021 — conf
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
DRBSD@SC
Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 J jnl
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2020 J jnl
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression.
CoRR
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2020 J jnl
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2020 — conf
Cross-Layer Interference Modeling and Performance Analysis in FMCW Radar Multiple Access Network.
VTC Fall
Sian Jin, Sumit Roy
2020 B conf
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
ICPP
Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang
2020 — conf
Efficient Abstractions for Implementing TGn Channel and OFDM-MIMO Links in ns-3.
WNS3
Sian Jin, Sumit Roy, Weihua Jiang, Thomas R. Henderson
2020 J jnl
Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes.
IEEE Trans. Commun.
Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong
2020 A conf
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
IPDPS
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 J jnl
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
CoRR
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 B conf
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
PACT
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 J jnl
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
CoRR
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 B conf
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
PPoPP
Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello
2019 J jnl
A New Order-Optimal Decentralized Coded Caching Scheme With Good Performance in the Finite File Size Regime.
IEEE Trans. Commun.
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire
2019 A conf
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
HPDC
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
CoRR
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size.
CoRR
Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong
2019 — conf
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes.
SPAWC
Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong
2018 B conf
Uncoded placement optimization for coded delivery.
WiOpt
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire
2017 J jnl
Structural Properties of Uncoded Placement Optimization for Coded Delivery.
CoRR
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire
2017 J jnl
Uncoded Placement Optimization for Coded Delivery.
CoRR
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire
2016 J jnl
New Order-Optimal Decentralized Coded Caching Schemes with Good Performance in the Finite File Size Regime.
CoRR
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire
2016 B conf
Order-Optimal Decentralized Coded Caching Schemes with Good Performance in Finite File Size Regime.
GLOBECOM
Sian Jin, Ying Cui, Hui Liu, Giuseppe Caire