Qian Gong

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 29

Top Venues

Duke University, Durham, NC, USA (PHD)

Education History

Duke University, Durham, NC, USA

PHD

Publications

Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR (2024)
Enqi Zhou, Wei Wang, Simeng Ma, Xinhui Xie, Lijun Kang, Shuxian Xu, Zipeng Deng, Qian Gong, Zhaowen Nie, Lihua Yao, Lihong Bu, Fei Wang, Zhongchun Liu
Prediction of anxious depression using multimodal neuroimaging and machine learning. NeuroImage 285 (2024)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Machine Learning Techniques for Data Reduction of Climate Applications. CoRR (2024)
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR (2024)
Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
Machine Learning Techniques for Data Reduction of CFD Applications. CoRR (2024)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC (2024)
Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. 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)
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science (2023)
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Fast Algorithms for Scientific Data Compression. HiPC (2023)
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24 (2023)
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science (2023)
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC (2023)
Xinnan Fan, Pengfei Cao, Pengfei Shi, Xinyang Chen, Xuan Zhou, Qian Gong
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning. Neurocomputing 505 (2022)
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM (2022)
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC (2022)
Qian Gong, Phil DeMar, Mine Altunay
ThunderSecure: deploying real-time intrusion detection for 100G research networks by leveraging stream-based features and one-class classification network. Int. J. Inf. Sec. 21 (4) (2022)
Guoqing Wu, Yang Wang, Qian Gong, Li Li, Xiaoyan Wu
An Intelligent Temperature Control Algorithm of Molecular Beam Epitaxy System Based on the Back-Propagation Neural Network. IEEE Access 10 (2022)
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR (2022)
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC (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)
Zhiwen Zhang, Qian Gong, Yuan Cao, Cheng Yin, Enyi Yao, Yanhua Liu, Yongqing Pan
Detecting LED Chip Surface Defects with Modified Faster R-CNN. ISOCC (2021)
Yue Qiu, Qian Gong, Xiaodong Gong
Study on Optimal Parameter Setting of Word Size and Word Spacing in Chinese Text of Desktop-Computer Touch Screen. HCI (19) (2018)
Qian Gong, Wenji Wu, Phil DeMar
GoldenEye: stream-based network packet inspection using GPUs. LCN (2018)
Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett
Scale Optimization for Full-Image-CNN Vehicle Detection. CoRR (2018)
Qian Gong, Esteban Vera, Dathon R. Golish, Steven D. Feller, David J. Brady, Michael E. Gehm
Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU. IEEE Trans. Computational Imaging 3 (3) (2017)
Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett
Scale optimization for full-image-CNN vehicle detection. Intelligent Vehicles Symposium (2017)
Zhe-Yi Zhao, Chang-Dong Wang, Ping-Jun Zheng, Qian Gong, Kai-Wei Huang, Jian-Huang Lai
Music Sharing Platform Based on Sina App Engine. FCST (2015)
Kai-Wei Huang, Zhe-Yi Zhao, Qian Gong, Juan Zha, Liu Chen, Ran Yang
Nasopharyngeal carcinoma segmentation via HMRF-EM with maximum entropy. EMBC (2015)
Shumin Wang, Qian Gong, Peng Wang, Chunfang Cao, Yaoyao Li
High quality InAs quantum dot lasers on germanium substrates. ICTON (2015)
Shumin Wang, Kai Wang, Yi Gu, Wenwu Pan, Xiaoyan Wu, Liyao Zhang, Yaoyao Li, Qian Gong
Novel dilute InPBi for IR emitters. ICTON (2014)
Di Hu, Guonian Lv, Yongning Wen, Jing Jia, Yiru Feng, Qian Gong
GIS-based family tree system integration. ICSDM (2011)
Richard Nötzel, Takaaki Mano, Qian Gong, Joachim H. Wolter
Self-organized anisotropic strain engineering: a new concept for quantum dot ordering. Proc. IEEE 91 (11) (2003)

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Publication Activity (10 Years)

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Qian Gong