Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation R Jiang, LJ Durlofsky Journal of Computational Physics 379, 192-213, 2019 | 35 | 2019 |
Scenario discovery workflow for robust petroleum reservoir development under uncertainty R Jiang, D Stern, TC Halsey, T Manzocchi International Journal for Uncertainty Quantification 6 (6), 2016 | 20 | 2016 |
Fluid-flow effects of compartmentalized distribution of compaction bands in an aeolian sandstone in three dimensions R Jiang, S Deng, M Karimi-Fard, A Aydin Petroleum Geoscience 22 (4), 2016 | 9 | 2016 |
Pressure preconditioning using proper orthogonal decomposition R Jiang Stanford University, 2014 | 8 | 2014 |
Accelerating Oil-Water Subsurface Flow Simulation Through Reduced-Order Modeling and Advances in Nonlinear Analysis R Jiang Stanford University, 2018 | 4 | 2018 |
Let Blind People See: Real-Time Visual Recognition with Results Converted to 3D Audio SQ Rui Jiang, Qian Lin http://web.stanford.edu/~forestj/218_Report.pdf, 2016 | | 2016 |
CS 229 Project: Exploring Commodity and Stock Volatility using Topic Modeling on Historical News Articles -- Application to Crude Oil Prices R Jiang, O Ogunbanwo, MA Ibrahim http://cs229.stanford.edu/proj2015/189_report.pdf, 2015 | | 2015 |