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20212025
most citedDISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

2 citations · 5 across the 8 of their papers we have counts for

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cs.CV2023

A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing

Longfeng Nie, Yuntian Chen, Mengge Du +2

Cloud types, as a type of meteorological data, are of particular significance for evaluating changes in rainfall, heatwaves, water resources, floods and droughts, food security and…

cs.LG2023★ 1 cited

Physics-constrained robust learning of open-form partial differential equations from limited and noisy data

Mengge Du, Yuntian Chen, Longfeng Nie +2

Unveiling the underlying governing equations of nonlinear dynamic systems remains a significant challenge. Insufficient prior knowledge hinders the determination of an accurate can…