Area of research
Oceanography · Atmospheric Science
Research interest
Research interests include Ocean Waves and Remote Sensing, Oceanographic and Atmospheric Processes, Tropical and Extratropical Cyclones Research, and Marine and coastal ecosystems.
Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery
AI for atmosphere-ocean sciences: advancements, challenges and ways forward.
Thank You to Our Peer Reviewers in 2025
Simulating oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean using a numerical model coupled with machine learning-based ocean vertical mixing parameterization
From Aqua MODIS to PACE OCI: Global-Scale Hyperspectral
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Reconstruction via Spectral-Attention Conditional GAN
From Sparse Satellite Images to Continuous Visual Sequence: A Collaborative Diffusion Framework for Internal Solitary Waves
Enhancing Seasonal Arctic Sea Ice Prediction for Late Summer by Transfer Learning of PIOMAS and CryoSat-2-Observed Sea Ice Thickness Data
AttIW-Net: Attention-Driven Extraction of Ocean Internal Waves From SAR Images With Frequency Enhancement and Morphological Adaptation
DSPE-Net: From satellite imagery to ISW tracking via symbolic physics priors
Deep Reinforcement Learning-Based Observation Station Placement Optimization for Ocean Monitoring
Label-free mangrove mapping from temporally consistent PlanetScope imagery with interpretable deep unfolding network
Post‐Hiatus Enhancement of ENSO Forecast Skill via Salinity‐Mediated Indo‐Pacific Inter‐Basin Coupling
AI in Satellite Remote Sensing of the Ocean
Phase‐Resolved Attribution of Tropical Cyclone Cold Wakes From an Interpretable Data‐Driven Model
L- and C-band SAR Backscattering Characteristics of Green Tide in the Yellow Sea
Physically Consistent Tropical Cyclone Monitoring From Infrared Satellite Imagery via Knowledge‐Guided Deep Learning
FMambaIR: A Hybrid State-Space Model and Frequency Domain for Image Restoration
MCS Filter: A Multichannel Structure-Aware Speckle Filter for SAR Images
Multimodal Issues and Key Technologies in Ocean Observation Data: A Review
PAD: Phase–Amplitude Decoupling Fusion for Multimodal Land Cover Classification
A Machine-Learning-Based Ocean-Current Velocity Inversion Model Using OCN From Sentinel-1 Observations
The role of age-associated B cells in systemic lupus erythematosus
Deep Learning Reveals ENSO's Footprint on the Indian Ocean Dipole: Insights From the Eastern Pacific (American) Coast
Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method
IW Extraction From SAR Images Based on Generative Networks With Small Datasets
Enhancing Retrievals of Air-Sea Heat Fluxes From AMSR2 Microwave Observations Based on Deep Learning
Deep Learning for Enhanced Ocean Color Remote Sensing: A Foundation Model Approach
Dual-Polarimetric Sentinel-1 SAR Backscattering Features From Green Macroalgae Floating in the Coastal Ocean
Advancing forecasting capabilities: A contrastive learning model for forecasting tropical cyclone rapid intensification.
Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc