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2020 – today
- 2024
[c12]Zhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu:
A Generic Performance Metric for Scientific Data Compression. e-Science 2024: 1-3- [c11]Wenqi Jia
, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin:
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. FlexScience@HPDC 2024: 34-41 - [c10]Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu:
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage. SC 2024: 14 - [i2]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 abs/2404.13470 (2024) - [i1]Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin:
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. CoRR abs/2409.05785 (2024) - 2023
- [j6]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): 22-36 (2023) - [j5]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): 2641-2655 (2023) - [c9]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: 2727-2739 - 2022
- [j4]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: 103452 (2022) - [c8]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: 11-20 - 2021
- [c7]Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He:
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. NAS 2021: 1-7 - [c6]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: 26-32 - 2020
- [j3]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): 1621-1635 (2020)
2010 – 2019
- 2019
- [c5]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: 293-302 - [c4]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: 1-7 - 2018
- [j2]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): 900-913 (2018) - 2016
- [c3]Bo Li, Jinzhen Wang, Ping Zhao, Zhongjiang Yan, Mao Yang:
Research of Recognition System of Web Intrusion Detection Based on Storm. ICNCC 2016: 98-102 - 2015
- [j1]Jinzhen Wang, Shaoying Su, Zengping Chen:
Parameter estimation of chirp signal under low SNR. Sci. China Inf. Sci. 58(2): 1-13 (2015) - 2014
- [c2]Jinzhen Wang, Shaoying Su, Zengping Chen:
Accurate parameters estimation of chirp signal in low SNR. ICAILP 2014: 551-555 - [c1]Yu Duan, Jinzhen Wang, Shaoying Su, Zengping Chen:
Detection of LFM signals in low SNR based on STFT and wavelet denoising. ICAILP 2014: 921-925
Coauthor Index
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