An Approach to Modeling Microservice Solutions. - Zhiyi Ma; Jinyang Liu 003; Xiao He 005 (ICISA, 2018)

Analysis of the Evolution of the UML Metamodel. - Zhiyi Ma; Huihong He; Jinyang Liu 003; Xiao He 005 (MODELSWARD, 2018)

Autoencoder based API Recommendation System for Android Programming. - Jinyang Liu 003; Ye Qiu; Zhiyi Ma; Zhonghai Wu (ICCSE, 2019)

Deep Learning Based Code Completion Models for Programming Codes. - Shuai Wang 020; Jinyang Liu 003; Ye Qiu; Zhiyi Ma; Junfei Liu; Zhonghai Wu (ISCSIC, 2019)

Normalization of Input-output Shared Embeddings in Text Generation Models. - Jinyang Liu 003; Yujia Zhai; Zizhong Chen (CoRR, 2020)

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. - Jinyang Liu 003; Sihuan Li; Sheng Di; Xin Liang 001; Kai Zhao 008; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE BigData, 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)

FT-BLAS: a high performance BLAS implementation with online fault tolerance. - Yujia Zhai; Elisabeth Giem; Quan Fan; Kai Zhao 008; Jinyang Liu 003; Zizhong Chen (ICS, 2021)

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (SC, 2022)

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. - Jiajun Huang 001; Jinyang Liu 003; Sheng Di; Yujia Zhai; Zizhe Jian; Shixun Wu; Kai Zhao 008; Zizhong Chen; Yanfei Guo; Franck Cappello (IEEE Big Data, 2023)

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)

KF K-means: A High Performance K-means Implementation using Kernel Fusion. - Kaiming Ouyang; Vincent Tran; Jinyang Liu 003; Bryan M. Wong; Zizhong Chen (IEEE Big Data, 2023)

PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. - Jiajun Huang 001; Kaiming Ouyang; Yujia Zhai; Jinyang Liu 003; Min Si; Ken Raffenetti; Hui Zhou 012; Atsushi Hori; Zizhong Chen; Yanfei Guo; Rajeev Thakur (CLUSTER, 2023)

An Efficient and Accurate Compression Ratio Estimation Model for SZx. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (CLUSTER Workshops, 2023)

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. - Pu Jiao; Sheng Di; Jinyang Liu 003; Xin Liang 001; Franck Cappello (HiPC, 2023)

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (HiPC, 2023)

Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. - Jiajun Huang 001; Kaiming Ouyang; Yujia Zhai; Jinyang Liu 003; Min Si; Ken Raffenetti; Hui Zhou 012; Atsushi Hori; Zizhong Chen; Yanfei Guo; Rajeev Thakur (HPDC, 2023)

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (ICS, 2023)

Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Bryan M. Wong; Zizhong Chen (ICS, 2023)

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; Rajeev Thakur (CoRR, 2023)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (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)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. - Yujia Zhai; Elisabeth Giem; Kai Zhao 008; Jinyang Liu 003; Jiajun Huang 001; Bryan M. Wong; Christian R. Shelton; Zizhong Chen (IEEE Trans. Parallel Distributed Syst., 2023)

FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. - Shixun Wu; Yitong Ding; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Bryan M. Wong; Zizhong Chen; Franck Cappello (CLUSTER, 2024)

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. - Mingze Xia; Sheng Di; Franck Cappello; Pu Jiao; Kai Zhao 008; Jinyang Liu 003; Xuan Wu; Xin Liang 001; Hanqi Guo 001 (ICDE, 2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; et al. (ICS, 2024)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; et al. (IPDPS, 2024)

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. - Zizhe Jian; Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Haiying Xu; Robert Underwood; Shixun Wu; Jiajun Huang 001; Zizhong Chen; Franck Cappello (IPDPS, 2024)

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (PPoPP, 2024)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 2024)

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Zizhe Jian; Xin Liang 001; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (SC, 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)

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2024)

Task-Adaptive Scientific Error-Bounded Lossy Compression - Jinyang Liu 003 (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)

Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction. - Pu Jiao; Sheng Di; Mingze Xia; Xuan Wu; Jinyang Liu 003; Xin Liang 001; Franck Cappello (IPDPS, 2025)

High-performance Visual Semantics Compression for AI-Driven Science. - Boyuan Zhang 002; Luanzheng Guo; Jiannan Tian; Jinyang Liu 003; Daoce Wang; Fanjiang Ye; Chengming Zhang 006; Jan Strube 001; Nathan R. Tallent; Dingwen Tao (PPoPP, 2025)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Franck Cappello; Zizhong Chen (PPoPP, 2025)

PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval. - Zhuoxun Yang; Sheng Di; Longtao Zhang; Ruoyu Li; Ximiao Li; Jiajun Huang 001; Jinyang Liu 003; Franck Cappello; Kai Zhao 008 (CoRR, 2025)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Khalid Ayedh Alharthi; Zizhong Chen; et al. (CoRR, 2025)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Longtao Zhang; Ruoyu Li; Congrong Ren; Sheng Di; Jinyang Liu 003; Jiajun Huang 001; Robert Underwood; Pascal Grosset; Dingwen Tao; Xin Liang 001; Hanqi Guo 001; Franck Cappello; et al. (Proc. ACM Manag. Data, 2025)

QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. - Jinyang Liu 003; Pu Jiao; Kai Zhao 008; Xin Liang 001; Sheng Di; Franck Cappello (Proc. VLDB Endow., 2025)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. - Shixun Wu; Jinwen Pan; Jinyang Liu 003; Jiannan Tian; Ziwei Qiu; Jiajun Huang 001; Kai Zhao 008; Xin Liang 001; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data. - Ruoyu Li; Yafan Huang; Longtao Zhang; Zhuoxun Yang; Sheng Di; Jiajun Huang 001; Jinyang Liu 003; Jiannan Tian; Xin Liang 001; Guanpeng Li; Hanqi Guo 001; Franck Cappello; et al. (CoRR, 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)