Area of research
Atmospheric Science · Environmental Engineering
Research interest
Research interests include Precipitation Measurement and Analysis, Meteorological Phenomena and Simulations, Soil Moisture and Remote Sensing, and Climate variability and models.
Global‐Frequency Synergy: A Novel Paradigm for Radar Echo Extrapolation via Attention and Fourier Convolution
An Improved Convolutional Neural Network for Bias Correction of Satellite Precipitation Products: Demonstration in Complex Terrain Regions over Taiwan
Multifactor Spatial Downscaling of Satellite Precipitation Based on Vegetation Index and Elevation
Response of Terrestrial Water Storage to Climate: Global Spatial Patterns and Driving Mechanism
Integrating GAN and Dynamic Identity Convolution for Enhanced Radar Image Reconstruction From Geostationary Satellite Observations
Global Urban‐Rural Differences in Precipitation: Cities See More Light Rain But Milder Extremes
Deep Learning for Downscaling Geostationary Satellite Measurements for Wildfire Detection
TorDet: A Refined Two-Stage Deep Learning Approach for Radar-Based Tornado Detection
Potential Role of Deep Learning in Operational Radar Rainfall Mapping: Rationale and Demonstration Studies
A Visible Light-Responsive, Fast Room-Temperature Self- Healing, Mechanically Robust, Antibacterial Waterborne Polyurethane Based on Triple Dynamic Bonds
Pd-Pt alloy/NiO nanosheets as synergistic catalysts for efficient hydrodeoxygenation of lignin-derived phenolics to cyclic alkanes under near-ambient H2 pressure
Enhancing Weather Radar Reflectivity Emulation From Geostationary Satellite Data Using Dynamic Residual Convolutional Network
Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan
Effect of 4-nitrophenol on the reproductive capacity of female mice
Spatiotemporal Variations and Characteristics of the El Niño–Southern Oscillation (ENSO) Phenomenon from 1950 to 2023
Estimating Tropical Cyclone Intensity via Deep Learning and Storm Morphology Recognition From Satellite Imagery
VegGAN: A Generative Adversarial Network for Downscaling JPSS/VIIRS Vegetation Indices
PrecipSRGAN: A Machine Learning Model for Satellite Precipitation Downscaling
Improving the Completion of Weather Radar Missing Data with Deep Learning
Global Urban-Rural Differences in Precipitation: Cities See More Light Rain but Milder Extremes
Correction of Radar Reflectivity From Gap-Filling X-Band Radar Observations
Isolation and characterization of a triplet nitrene
Joint Classification of Hyperspectral and LiDAR Data Using Height Information Guided Hierarchical Fusion-and-Separation Network
Joint Classification of Hyperspectral and LiDAR Data Using Height Information Guided Hierarchical Fusion-and-Separation Network
An Isolable One‐Coordinate Lead(I) Radical with Strong <i>g</i>‐Factor Anisotropy
Understanding the Influence of Urban Form on the Spatial Pattern of Precipitation
Understanding the Influence of Urban Form on the Spatial Pattern of Precipitation
Improving Explainability of Deep Learning for Polarimetric Radar Rainfall Estimation
Multi‐Task Learning for Tornado Identification Using Doppler Radar Data
A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations