11 citations · 25 across the 9 of their papers we have counts for
9 papers
MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss
Meenu Ravi, Shailik Sarkar, Yanshen Sun +2
Understanding post-wildfire vegetation loss is critical for developing effective ecological recovery strategies and is often challenging due to the extended time and effort require…
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset and Benchmark
Shengkun Wang, Yanshen Sun, Fanglan Chen +4
Accurate long-horizon house-price forecasting requires benchmarks that capture temporal dynamics together with time-varying local context. However, existing public resources remain…
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…
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li +2
Recently a line of researches has delved the use of graph neural networks (GNNs) for decentralized control in swarm robotics. However, it has been observed that relying solely on t…
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain
Yanshen Sun, Jianfeng He, Shuo Lei +2
The pervasive influence of misinformation has far-reaching and detrimental effects on both individuals and society. The COVID-19 pandemic has witnessed an alarming surge in the dis…
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
The prompt estimation of traffic incident impacts can guide commuters in their trip planning and improve the resilience of transportation agencies' decision-making on resilience. H…