Qian Gong - RankMe

58 papers A* 2A 6B 10C 1Misc 2Journal 26Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hippocampus-centered structural covariance network reorganization in Alzheimer's disease: An individualized graph-based biomarker validated by machine learning. Neural Networks Weiye Lu, Qian Gong, Yuna Chen, Shijun Qiu, Jie An
2026	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. IEEE Trans. Parallel Distributed Syst. Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR 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
2025	J	`jnl`	Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR 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
2025	A	`conf`	HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. SC Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025	J	`jnl`	HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. CoRR Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025	A	`conf`	HPDR: High-Performance Portable Scientific Data Reduction Framework. IPDPS Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025	J	`jnl`	HPDR: High-Performance Portable Scientific Data Reduction Framework. CoRR Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025	—	`conf`	Machine Learning Techniques for Data Reduction of Climate Applications. PAKDD (1) Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks. Mach. Learn. Sci. Technol. Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R. Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson
2025	A	`conf`	Stability-preserving Lossy Compression for Large-scale Partial Differential Equations. SC Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2025	J	`jnl`	Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. IEEE Trans. Vis. Comput. Graph. Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen
2025	A*	`conf`	Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis. ICDE Weiming He, Qi Chen, Qian Gong, Jing Li, Qing Liu, Norbert Podhorszki, Scott Klasky, Ki Sung Jung, Cristian Lacey, Jackie Chen, Hongjian Zhu
2024	B	`conf`	A Framework for Compressing Unstructured Scientific Data via Serialization. IEEE Big Data Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024	B	`conf`	A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science 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
2024	J	`jnl`	A framework for compressing unstructured scientific data via serialization. CoRR Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024	A	`conf`	Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. SC Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024	J	`jnl`	Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. CoRR Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024	—	`conf`	FunM UncertaintyVis@VIS Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale
2024	B	`conf`	Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order. CoRR Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky
2024	J	`jnl`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR 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
2024	J	`jnl`	Machine Learning Techniques for Data Reduction of CFD Applications. CoRR Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Machine Learning Techniques for Data Reduction of Climate Applications. CoRR Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Prediction of anxious depression using multimodal neuroimaging and machine learning. NeuroImage 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
2024	J	`jnl`	Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR 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
2024	C	`conf`	To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. SBAC-PAD Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead
2024	B	`conf`	Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control. IEEE Big Data Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky
2024	J	`jnl`	Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. CoRR Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
2023	Misc	`conf`	Fast Algorithms for Scientific Data Compression. HiPC Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
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`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 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
2023	B	`conf`	Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023	A	`conf`	RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023	B	`conf`	Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science 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
2022	Misc	`conf`	An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	An Intelligent Temperature Control Algorithm of Molecular Beam Epitaxy System Based on the Back-Propagation Neural Network. IEEE Access Guoqing Wu, Yang Wang, Qian Gong, Li Li, Xiaoyan Wu
2022	J	`jnl`	An underwater dam crack image segmentation method based on multi-level adversarial transfer learning. Neurocomputing Xinnan Fan, Pengfei Cao, Pengfei Shi, Xinyang Chen, Xuan Zhou, Qian Gong
2022	B	`conf`	Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
2022	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	ThunderSecure: deploying real-time intrusion detection for 100G research networks by leveraging stream-based features and one-class classification network. Int. J. Inf. Sec. Qian Gong, Phil DeMar, Mine Altunay
2021	—	`conf`	Detecting LED Chip Surface Defects with Modified Faster R-CNN. ISOCC Zhiwen Zhang, Qian Gong, Yuan Cao, Cheng Yin, Enyi Yao, Yanhua Liu, Yongqing Pan
2021	A	`conf`	Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2021	B	`conf`	Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 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
2021	J	`jnl`	Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR 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
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
2018	B	`conf`	GoldenEye: stream-based network packet inspection using GPUs. LCN Qian Gong, Wenji Wu, Phil DeMar
2018	J	`jnl`	Scale Optimization for Full-Image-CNN Vehicle Detection. CoRR Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett
2018	—	`conf`	Study on Optimal Parameter Setting of Word Size and Word Spacing in Chinese Text of Desktop-Computer Touch Screen. HCI (19) Yue Qiu, Qian Gong, Xiaodong Gong
2017	—	`—`	High-rate Modeling and Computing for Optical Systems - Gigapixel Image Formation and X-ray Imaging Physics. Qian Gong
2017	J	`jnl`	Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU. IEEE Trans. Computational Imaging Qian Gong, Esteban Vera, Dathon R. Golish, Steven D. Feller, David J. Brady, Michael E. Gehm
2017	B	`conf`	Scale optimization for full-image-CNN vehicle detection. Intelligent Vehicles Symposium Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett
2015	—	`conf`	High quality InAs quantum dot lasers on germanium substrates. ICTON Shumin Wang, Qian Gong, Peng Wang, Chunfang Cao, Yaoyao Li
2015	—	`conf`	Music Sharing Platform Based on Sina App Engine. FCST Zhe-Yi Zhao, Chang-Dong Wang, Ping-Jun Zheng, Qian Gong, Kai-Wei Huang, Jian-Huang Lai
2015	—	`conf`	Nasopharyngeal carcinoma segmentation via HMRF-EM with maximum entropy. EMBC Kai-Wei Huang, Zhe-Yi Zhao, Qian Gong, Juan Zha, Liu Chen, Ran Yang
2014	—	`conf`	Novel dilute InPBi for IR emitters. ICTON Shumin Wang, Kai Wang, Yi Gu, Wenwu Pan, Xiaoyan Wu, Liyao Zhang, Yaoyao Li, Qian Gong
2011	—	`conf`	GIS-based family tree system integration. ICSDM Di Hu, Guonian Lv, Yongning Wen, Jing Jia, Yiru Feng, Qian Gong
2003	J	`jnl`	Self-organized anisotropic strain engineering: a new concept for quantum dot ordering. Proc. IEEE Richard Nötzel, Takaaki Mano, Qian Gong, Joachim H. Wolter