Qian Gong Contact 865.341.2772 | GONGQ@ORNL.GOV All Publications Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control... Lifting MGARD: Construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order... A Framework for Compressing Unstructured Scientific Data via Serialization Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices A General Framework for Error-controlled Unstructured Scientific Data Compression... Optimising the Processing and Storage of Radio Astronomy Data Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications Fast Algorithms for Scientific Data Compression MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case Study on Simulation Data with Extreme Climate Events Analysis RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression ThunderSecure: deploying real-time intrusion detection for 100G research networks by leveraging stream-based features and one-class classification network Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition Key Links Google Scholar Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Workflow Systems Group
