Hongze Leng

Orcid: 0000-0003-3338-7566

According to our database1, Hongze Leng authored at least 24 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PGMNO: A physics-Guided mamba neural operator framework for partial differential equations.
Neural Networks, 2026

A Novel Conditional Diffusion-Based Framework for Advanced Reconstruction of Cloud Vertical Structure.
IEEE Geosci. Remote. Sens. Lett., 2026

A Physics-Guided Hierarchical Transformer Framework for Sea Surface Temperature Forecasting and Marine Heatwave Detection.
IEEE Geosci. Remote. Sens. Lett., 2026

Review on deep learning quantitative precipitation nowcasting: Advances and challenges.
Expert Syst. Appl., 2026

2025
DRL-EnVar: an adaptive hybrid ensemble-variational data assimilation method based on deep reinforcement learning.
Frontiers Inf. Technol. Electron. Eng., December, 2025

Precipitation Nowcasting Diffusion Model Based on Fluid Dynamics and Multisource Data.
IEEE Trans. Geosci. Remote. Sens., 2025

Data-Driven Super-Resolution Reconstruction of Quasi-Geostrophic Turbulence Via Enhanced Diffusion Model and Fourier Neural Operator.
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
Exploration of Deep-Learning-Based Error-Correction Methods for Meteorological Remote-Sensing Data: A Case Study of Atmospheric Motion Vectors.
Remote. Sens., September, 2024

A Deep-Learning-Based Error-Correction Method for Atmospheric Motion Vectors.
Remote. Sens., May, 2024

Analysis of Atmospheric Elements in Near Space Based on Meteorological-Rocket Soundings over the East China Sea.
Remote. Sens., January, 2024

2023
LPT-QPN: A Lightweight Physics-Informed Transformer for Quantitative Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Comparison of Machine Learning Approaches for Reconstructing Sea Subsurface Salinity Using Synthetic Data.
Remote. Sens., 2022

A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series.
Entropy, 2022

A Framework for Four-Dimensional Variational Data Assimilation Based on Machine Learning.
Entropy, 2022

A System For Hybrid 4DVar-EnKF Data Assimilation Based On Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Exploring Assimilation Order to Improve Assimilation with Serial Ensemble Kalman Filter.
J. Circuits Syst. Comput., 2021

A Data-Driven Method for Hybrid Data Assimilation with Multilayer Perceptron.
Big Data Res., 2021

Reconstructed Interpolating Differential Operator Method with Arbitrary Order of Accuracy for the Hyperbolic Equation.
Axioms, 2021

2020
A Hybrid 3DVar-EnKF Data Assimilation Approach Based on Multilayer Perceptron.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2017
Assimilation of Sentinel-1 Derived Sea Surface Winds for Typhoon Forecasting.
Remote. Sens., 2017

2013
Notes and correspondence on ensemble-based three-dimensional variational filters.
J. Zhejiang Univ. Sci. C, 2013

2012
A Coupled Method of Laplace Transform and Legendre Wavelets for Lane-Emden-Type Differential Equations.
J. Appl. Math., 2012

2009
Finding Arc and Vertex-Disjoint Paths in Networks.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009

Routing on Shortest Pair of Disjoint Paths with Bandwidth Guaranteed.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009


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