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2020 – today
- 2025
[j8]Tushar M. Athawale
, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen:
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. IEEE Trans. Vis. Comput. Graph. 31(1): 108-118 (2025)- [c29]Weiming He, Qi Chen, Qian Gong, Jing Li, Qing Liu, Norbert Podhorszki, Scott Klasky, Ki Sung Jung, Cristian Lacey, Jackie Chen, Hongjian Zhu:
Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis. ICDE 2025: 1869-1881 - [c28]Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky:
HPDR: High-Performance Portable Scientific Data Reduction Framework. IPDPS 2025: 1104-1116 - [c27]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. PAKDD (1) 2025: 437-448 - [i15]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:
A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR abs/2501.06910 (2025) - [i14]Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky:
HPDR: High-Performance Portable Scientific Data Reduction Framework. CoRR abs/2503.06322 (2025) - [i13]Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen:
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. CoRR abs/2505.00227 (2025) - [i12]Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash:
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR abs/2506.19863 (2025) - 2024
- [j7]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: 120499 (2024) - [c26]Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki:
A Framework for Compressing Unstructured Scientific Data via Serialization. IEEE Big Data 2024: 4188-4193 - [c25]Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky:
Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control. IEEE Big Data 2024: 4257-4264 - [c24]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC 2024: 567 - [c23]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:
A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science 2024: 1-10 - [c22]Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead:
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. SBAC-PAD 2024: 105-115 - [c21]Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky:
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. SC 2024: 86 - [c20]Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale:
FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. UncertaintyVis@VIS 2024: 43-47 - [i11]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 abs/2401.03317 (2024) - [i10]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 abs/2401.05994 (2024) - [i9]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 abs/2404.18063 (2024) - [i8]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. CoRR abs/2405.00879 (2024) - [i7]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 abs/2407.18015 (2024) - [i6]Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky:
Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order. CoRR abs/2408.07212 (2024) - [i5]Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki:
A framework for compressing unstructured scientific data via serialization. CoRR abs/2410.08059 (2024) - [i4]Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky:
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. CoRR abs/2411.05333 (2024) - 2023
- [j6]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: 101590 (2023) - [c19]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: 1-10 - [c18]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: 1-10 - [c17]Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Fast Algorithms for Scientific Data Compression. HiPC 2023: 143-152 - [c16]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: 87-100 - [c15]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
- [j5]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: 9848-9855 (2022) - [j4]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): 799-812 (2022) - [j3]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: 19-29 (2022) - [c14]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: 226-235 - [c13]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: 5:1-5:12 - [i3]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 abs/2212.10733 (2022) - 2021
- [c12]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: 268-269 - [c11]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 - [c10]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: 88 - [c9]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: 22-39 - [i2]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 abs/2105.12764 (2021)
2010 – 2019
- 2018
- [c8]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: 297-312 - [c7]Qian Gong, Wenji Wu, Phil DeMar:
GoldenEye: stream-based network packet inspection using GPUs. LCN 2018: 632-639 - [i1]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 abs/1802.06926 (2018) - 2017
- [b1]Qian Gong:
High-rate Modeling and Computing for Optical Systems - Gigapixel Image Formation and X-ray Imaging Physics. Duke University, Durham, NC, USA, 2017 - [j2]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): 493-502 (2017) - [c6]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: 785-791 - 2015
- [c5]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: 2968-2972 - [c4]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: 298-303 - [c3]Shumin Wang, Qian Gong, Peng Wang, Chunfang Cao, Yaoyao Li:
High quality InAs quantum dot lasers on germanium substrates. ICTON 2015: 1-3 - 2014
- [c2]Shumin Wang, Kai Wang, Yi Gu, Wenwu Pan, Xiaoyan Wu, Liyao Zhang, Yaoyao Li, Qian Gong:
Novel dilute InPBi for IR emitters. ICTON 2014: 1-4 - 2011
- [c1]Di Hu, Guonian Lv, Yongning Wen, Jing Jia, Yiru Feng, Qian Gong:
GIS-based family tree system integration. ICSDM 2011: 480-485
2000 – 2009
- 2003
- [j1]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): 1898-1906 (2003)
Coauthor Index
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