Qian Gong

According to our database, Qian Gong authored at least 38 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.

Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

Prediction of anxious depression using multimodal neuroimaging and machine learning.

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

NeuroImage, January, 2024

A framework for compressing unstructured scientific data via serialization.

Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki

CoRR, 2024

Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order.

Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky

CoRR, 2024

Machine Learning Techniques for Data Reduction of Climate Applications.

Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka

CoRR, 2024

Machine Learning Techniques for Data Reduction of CFD Applications.

Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka

CoRR, 2024

FunM²C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices.

Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale

Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.

Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 2024

A General Framework for Error-controlled Unstructured Scientific Data Compression.

Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky

Proceedings of the 20th IEEE International Conference on e-Science, 2024

Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications.

Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the Data Compression Conference, 2024

2023

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.

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

SoftwareX, December, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.

Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.

Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Fast Algorithms for Scientific Data Compression.

Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.

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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.

Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

An underwater dam crack image segmentation method based on multi-level adversarial transfer learning.

Xinnan Fan, Pengfei Cao, Pengfei Shi, Xinyang Chen, Xuan Zhou, Qian Gong

Neurocomputing, 2022

ThunderSecure: deploying real-time intrusion detection for 100G research networks by leveraging stream-based features and one-class classification network.

Qian Gong, Phil DeMar, Mine Altunay

Int. J. Inf. Sec., 2022

Scalable Hybrid Learning Techniques for Scientific Data Compression.

Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

CoRR, 2022

An Intelligent Temperature Control Algorithm of Molecular Beam Epitaxy System Based on the Back-Propagation Neural Network.

Guoqing Wu, Yang Wang, Qian Gong, Li Li, Xiaoyan Wu

IEEE Access, 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.

Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.

Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

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

CoRR, 2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.

Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.

Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 2021

Detecting LED Chip Surface Defects with Modified Faster R-CNN.

Zhiwen Zhang, Qian Gong, Yuan Cao, Cheng Yin, Enyi Yao, Yanhua Liu, Yongqing Pan

Proceedings of the 18th International SoC Design Conference, 2021

2018

GoldenEye: stream-based network packet inspection using GPUs.

Qian Gong, Wenji Wu, Phil DeMar

Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Study on Optimal Parameter Setting of Word Size and Word Spacing in Chinese Text of Desktop-Computer Touch Screen.

Yue Qiu, Qian Gong, Xiaodong Gong

Proceedings of the Design, User Experience, and Usability: Designing Interactions, 2018

2017

High-rate Modeling and Computing for Optical Systems - Gigapixel Image Formation and X-ray Imaging Physics.

Qian Gong

PhD thesis, 2017

Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU.

Qian Gong, Esteban Vera, Dathon R. Golish, Steven D. Feller, David J. Brady, Michael E. Gehm

IEEE Trans. Computational Imaging, 2017

Scale optimization for full-image-CNN vehicle detection.

Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2015

High quality InAs quantum dot lasers on germanium substrates.

Shumin Wang, Qian Gong, Peng Wang, Chunfang Cao, Yaoyao Li

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

Music Sharing Platform Based on Sina App Engine.

Zhe-Yi Zhao, Chang-Dong Wang, Ping-Jun Zheng, Qian Gong, Kai-Wei Huang, Jian-Huang Lai

Proceedings of the Ninth International Conference on Frontier of Computer Science and Technology, 2015

Nasopharyngeal carcinoma segmentation via HMRF-EM with maximum entropy.

Kai-Wei Huang, Zhe-Yi Zhao, Qian Gong, Juan Zha, Liu Chen, Ran Yang

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Novel dilute InPBi for IR emitters.

Shumin Wang, Kai Wang, Yi Gu, Wenwu Pan, Xiaoyan Wu, Liyao Zhang, Yaoyao Li, Qian Gong

Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

2011

GIS-based family tree system integration.

Di Hu, Guonian Lv, Yongning Wen, Jing Jia, Yiru Feng, Qian Gong

Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

2003

Self-organized anisotropic strain engineering: a new concept for quantum dot ordering.

Richard Nötzel, Takaaki Mano, Qian Gong, Joachim H. Wolter

Proc. IEEE, 2003