Jinzhen Wang

24 papers A* 1A 3B 2Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction.
CoRR
Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai, Jinzhen Wang, Sheng Di, Zarija Lukic, Franck Cappello
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
Rethinking the Potential of Layer Freezing for Efficient DNN Training.
CoRR
Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan
2024 B conf
A Generic Performance Metric for Scientific Data Compression.
e-Science
Zhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu
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
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 B conf
QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate.
IEEE Big Data
Khondoker Mirazul Mumenin, Dong Dai, Jinzhen Wang, Sheng Di
2024 A conf
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.
SC
Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu
2023 J jnl
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.
IEEE Trans. Big Data
Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He
2023 A* conf
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
ICDE
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
2023 J jnl
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression.
IEEE Trans. Computers
Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He
2022 — conf
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data.
DRBSD@SC
Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens
2022 J jnl
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.
J. Netw. Comput. Appl.
Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He
2021 — conf
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.
NAS
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He
2021 — conf
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
DRBSD@SC
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2020 J jnl
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression.
IEEE Trans. Parallel Distributed Syst.
Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He
2019 — conf
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.
NAS
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu
2019 A conf
Identifying Latent Reduced Models to Precondition Lossy Compression.
IPDPS
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, MengChu Zhou, Jinzhen Wang, Zhenlu Qin
2018 J jnl
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst.
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
2016 — conf
Research of Recognition System of Web Intrusion Detection Based on Storm.
ICNCC
Bo Li, Jinzhen Wang, Ping Zhao, Zhongjiang Yan, Mao Yang
2015 J jnl
Parameter estimation of chirp signal under low SNR.
Sci. China Inf. Sci.
Jinzhen Wang, Shaoying Su, Zengping Chen
2014 — conf
Accurate parameters estimation of chirp signal in low SNR.
ICAILP
Jinzhen Wang, Shaoying Su, Zengping Chen
2014 — conf
Detection of LFM signals in low SNR based on STFT and wavelet denoising.
ICAILP
Yu Duan, Jinzhen Wang, Shaoying Su, Zengping Chen