Order-Optimal Decentralized Coded Caching Schemes with Good Performance in Finite File Size Regime. - Sian Jin; Ying Cui 001; Hui Liu 011; Giuseppe Caire (GLOBECOM, 2016)

New Order-Optimal Decentralized Coded Caching Schemes with Good Performance in the Finite File Size Regime. - Sian Jin; Ying Cui 001; Hui Liu 011; Giuseppe Caire (CoRR, 2016)

Structural Properties of Uncoded Placement Optimization for Coded Delivery. - Sian Jin; Ying Cui 001; Hui Liu 011; Giuseppe Caire (CoRR, 2017)

Uncoded placement optimization for coded delivery. - Sian Jin; Ying Cui 001; Hui Liu 011; Giuseppe Caire (WiOpt, 2018)

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Sian Jin; Sheng Di; Xin Liang 001; Jiannan Tian; Dingwen Tao; Franck Cappello (HPDC, 2019)

Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size. - Qi Wang 032; Ying Cui 001; Sian Jin; Junni Zou; Chenglin Li; Hongkai Xiong (CoRR, 2019)

A New Order-Optimal Decentralized Coded Caching Scheme With Good Performance in the Finite File Size Regime. - Sian Jin; Ying Cui 001; Hui Liu 011; Giuseppe Caire (IEEE Trans. Commun., 2019)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. - Zhenbo Hu; Xiangyu Zou; Wen Xia; Sian Jin; Dingwen Tao; Yang Liu 039; Weizhe Zhang; Zheng Zhang 006 (ICPP, 2020)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - Sian Jin; Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Jiannan Tian; Dingwen Tao; James P. Ahrens (IPDPS, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 2020)

Cross-Layer Interference Modeling and Performance Analysis in FMCW Radar Multiple Access Network. - Sian Jin; Sumit Roy 001 (VTC Fall, 2020)

Efficient Abstractions for Implementing TGn Channel and OFDM-MIMO Links in ns-3. - Sian Jin; Sumit Roy 001; Weihua Jiang; Thomas R. Henderson (WNS3, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes. - Qi Wang 032; Ying Cui 001; Sian Jin; Junni Zou; Chenglin Li; Hongkai Xiong (IEEE Trans. Commun., 2020)

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. - Bo Fang 002; Daoce Wang; Sian Jin; Quincey Koziol; Zhao Zhang 007; Qiang Guan; Suren Byna; Sriram Krishnamoorthy; Dingwen Tao (CLUSTER, 2021)

Exploring Autoencoder-based Error-bounded Compression for Scientific Data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (HiPC, 2021)

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 (HPDC, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

A novel memory-efficient deep learning training framework via error-bounded lossy compression. - Sian Jin; Guanpeng Li; Shuaiwen Leon Song; Dingwen Tao (PPoPP, 2021)

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. - Yuanjian Lin; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (DRBSD@SC, 2021)

Slow-Time Waveform Randomization Performance under Incoherent FMCW Radar Interference. - Sian Jin; Jun Hyeon Park; Sumit Roy 001 (VTC Fall, 2021)

EESM-log-AR: an efficient error model for OFDM MIMO systems over time-varying channels. - Sian Jin; Sumit Roy 001; Thomas R. Henderson (WNS3, 2021)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CoRR, 2021)

CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (CoRR, 2021)

FMCW Radar Network: Multiple Access and Interference Mitigation. - Sian Jin; Sumit Roy 001 (IEEE J. Sel. Top. Signal Process., 2021)

COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. - Sian Jin; Chengming Zhang 006; Xintong Jiang; Yunhe Feng; Hui Guan 001; Guanpeng Li; Shuaiwen Song; Dingwen Tao (Proc. VLDB Endow., 2021)

Efficient PHY Layer Abstraction for Fast Simulations in Complex System Environments. - Sian Jin; Sumit Roy 001; Thomas R. Henderson (IEEE Trans. Commun., 2021)

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 (HPDC, 2022)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. - Sian Jin; Sheng Di; Jiannan Tian; Suren Byna; Dingwen Tao; Franck Cappello (ICDE, 2022)

CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (ICS, 2022)

Spatial-Domain Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar. - Sian Jin; Pu Wang 004; Petros Boufounos; Philip V. Orlik; Ryuhei Takahashi; Sumit Roy 001 (SAM, 2022)

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 (SC, 2022)

IEEE WLANs in 5 vs 6 GHz: A Comparative Study. - Hao Yin; Sumit Roy 001; Sian Jin (WNS3, 2022)

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 (CoRR, 2022)

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Baixi Sun; Xiaodong Yu 001; Chengming Zhang 006; Jiannan Tian; Sian Jin; Kamil Iskra; Tao Zhou; Tekin Bicer; Pete Beckman; Dingwen Tao (CoRR, 2022)

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Big Data, 2023)

Spatial-Domain Object Detection Under Mimo-Fmcw Automotive Radar Interference. - Sian Jin; Pu Wang 004; Petros Boufounos; Ryuhei Takahashi; Sumit Roy 001 (ICASSP, 2023)

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. - Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman 001; Arham Khan; Franck Cappello (SC Workshops, 2023)

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 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

Mutual Interference Mitigation for MIMO-FMCW Automotive Radar. - Sian Jin; Pu Wang 004; Petros Boufounos; Philip V. Orlik; Ryuhei Takahashi; Sumit Roy 001 (CoRR, 2023)

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CoRR, 2023)

Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. - Haoyu Jin; Donglei Wu; Shuyu Zhang; Xiangyu Zou; Sian Jin; Dingwen Tao; Qing Liao 001; Wen Xia (IEEE Trans. Parallel Distributed Syst., 2023)

Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations. - Liu Cao; Lyutianyang Zhang; Sian Jin; Sumit Roy 001 (IEEE Wirel. Commun. Lett., 2023)

SeqBench: A Benchmark Suite for Lossless and Lossy Compression of Sequence Data. - Taolue Yang; Youyuan Liu; Chong Li 001; Xinhua Mindy Shi; Sian Jin (BCB, 2024)

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 (DCC, 2024)

Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. - Sian Jin; Sheng Di; Frédéric Vivien; Daoce Wang; Yves Robert; Dingwen Tao; Franck Cappello (EuroSys, 2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. - Wenqi Jia 003; Sian Jin; Jinzhen Wang; Wei Niu 002; Dingwen Tao; Miao Yin (FlexScience@HPDC, 2024)

Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. - Youyuan Liu; Wenqi Jia 003; Taolue Yang; Miao Yin; Sian Jin (SC Workshops, 2024)

GPUFASTQLZ: An Ultra Fast Compression Methodology for Fastq Sequence Data on GPUs. - Taolue Yang; Youyuan Liu; Bo Jiang; Sian Jin (SC Workshops, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO. - Liu Cao; Lyutianyang Zhang; Sumit Roy 001; Sian Jin (CoRR, 2024)

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. - Wenqi Jia 003; Youyuan Liu; Zhewen Hu; Jinzhen Wang; Boyuan Zhang; Wei Niu 002; Junzhou Huang; Stavros Kalafatis; Sian Jin; Miao Yin (CoRR, 2024)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Sian Jin; Zizhe Jian; Jiajun Huang 001; Shixun Wu; Zizhong Chen; Franck Cappello (Proc. ACM Manag. Data, 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)

Accurate Performance Modeling and Uncertainty Analysis of Lossy Compression in Scientific Applications. - Youyuan Liu; Taolue Yang; Sian Jin (DCC, 2025)

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 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar. - Sian Jin; Pu Wang 004; Petros T. Boufounos; Philip V. Orlik; Ryuhei Takahashi; Sumit Roy 001 (IEEE Trans. Veh. Technol., 2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression. - Wenqi Jia 003; Ying Huang 008; Jian Xu; Zhewen Hu; Sian Jin; Jiannan Tian; Yuede Ji; Miao Yin (CoRR, 2025)

FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. - Zhaorui Zhang; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Zhuoran Ji; Benben Liu; Khalid Ayedh Alharthi; Jiannong Cao 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)