Jinzhen Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Lossy Compression

Scientific Data

Parameters Estimation

Top Venues

Publications

Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. CoRR (2024)
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE (2023)
Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. IEEE Trans. Big Data 9 (1) (2023)
Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression. IEEE Trans. Computers 72 (9) (2023)
Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression. J. Netw. Comput. Appl. 205 (2022)
Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. DRBSD@SC (2022)
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. NAS (2021)
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC (2021)
Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression. IEEE Trans. Parallel Distributed Syst. 31 (7) (2020)
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS (2019)
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning. NAS (2019)
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Bo Li, Jinzhen Wang, Ping Zhao, Zhongjiang Yan, Mao Yang
Research of Recognition System of Web Intrusion Detection Based on Storm. ICNCC (2016)
Jinzhen Wang, Shaoying Su, Zengping Chen
Parameter estimation of chirp signal under low SNR. Sci. China Inf. Sci. 58 (2) (2015)
Yu Duan, Jinzhen Wang, Shaoying Su, Zengping Chen
Detection of LFM signals in low SNR based on STFT and wavelet denoising. ICAILP (2014)
Jinzhen Wang, Shaoying Su, Zengping Chen
Accurate parameters estimation of chirp signal in low SNR. ICAILP (2014)