11 citations · 25 across the 9 of their papers we have counts for
4 papers · 1 filter
Downscaling Precipitation with Bias-informed Conditional Diffusion Model
Ran Lyu, Linhan Wang, Yanshen Sun +2
Climate change is intensifying rainfall extremes, making high-resolution precipitation projections crucial for society to better prepare for impacts such as flooding. However, curr…
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation
Feiyan Feng, Tianyu Liu, Hong Wang +3
Early detection through imaging and accurate diagnosis is crucial in mitigating the high mortality rate associated with breast cancer. However, locating tumors from low-resolution…
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
Shengkun Wang, Taoran Ji, Linhan Wang +4
The stock price prediction task holds a significant role in the financial domain and has been studied for a long time. Recently, large language models (LLMs) have brought new ways…
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges
Yanshen Sun, Jianfeng He, Limeng Cui +2
Recent advancements in Large Language Models (LLMs) have enabled the creation of fake news, particularly in complex fields like healthcare. Studies highlight the gap in the decepti…