17 citations · 20 across the 10 of their papers we have counts for
10 papers
PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast
Yuze Sun, Shiyi Wang, Jiancheng Pan +7
Medium-range precipitation forecasts are impaired by persistent systematic biases, lead-time-dependent error accumulation, and coarse spatial resolution, restricting their reliabil…
The Complete Anatomy of the Madden-Julian Oscillation Revealed by Artificial Intelligence
Xiao Zhou, Yuze Sun, Jie Wu +1
Accurately defining the life cycle of the Madden-Julian Oscillation (MJO), the dominant mode of intraseasonal climate variability, remains a foundational challenge due to its propa…
A Physics-Guided AI Cascaded Corrector Model Significantly Extends Madden-Julian Oscillation Prediction Skill
Xiao Zhou, Yuze Sun, Jie Wu +1
The Madden-Julian Oscillation (MJO) is an important driver of global weather and climate extremes, but its prediction in operational dynamical models remains challenging, with skil…
Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis
Yuze Sun, Wentao Luo, Yanfei Xiang +4
With the growing role of artificial intelligence in climate and weather research, efficient model training and inference are in high demand. Current models like FourCastNet and AI-…
Semantic-Aware Ship Detection with Vision-Language Integration
Jiahao Li, Jiancheng Pan, Yuze Sun +1
Ship detection in remote sensing imagery is a critical task with wide-ranging applications, such as maritime activity monitoring, shipping logistics, and environmental studies. How…
EarthSynth: Generating Informative Earth Observation with Diffusion Models
Jiancheng Pan, Shiye Lei, Yuqian Fu +7
Remote sensing image (RSI) interpretation typically faces challenges due to the scarcity of labeled data, which limits the performance of RSI interpretation tasks. To tackle this c…
How to systematically develop an effective AI-based bias correction model?
Xiao Zhou, Yuze Sun, Jie Wu +1
This study introduces ReSA-ConvLSTM, an artificial intelligence (AI) framework for systematic bias correction in numerical weather prediction (NWP). We propose three innovations by…
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Yuqian Fu, Xingyu Qiu, Bin Ren +59
Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
Jiancheng Pan, Yanxing Liu, Xiao He +4
Foundation models pretrained on extensive datasets, such as GroundingDINO and LAE-DINO, have performed remarkably in the cross-domain few-shot object detection (CD-FSOD) task. Thro…
AI-GOMS: Large AI-Driven Global Ocean Modeling System
Wei Xiong, Yanfei Xiang, Hao Wu +4
Ocean modeling is a powerful tool for simulating the physical, chemical, and biological processes of the ocean, which is the foundation for marine science research and operational…