4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.GR2025
ENTIRE: Learning-based Volume Rendering Time Prediction
Zikai Yin, Hamid Gadirov, Jiri Kosinka +1
We introduce ENTIRE, a novel deep learning-based approach for fast and accurate volume rendering time prediction. Predicting rendering time is inherently challenging due to its dep…
cs.IR2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Ziwei Zhao, Fake Lin, Xi Zhu +6
Last year has witnessed the considerable interest of Large Language Models (LLMs) for their potential applications in recommender systems, which may mitigate the persistent issue o…
eess.SP2019★ 4 cited
A Machine Learning-enhanced Robust P-Phase Picker for Real-time Seismic Monitoring
Dazhong Shen, Qi Zhang, Tong Xu +7
Identifying the arrival times of seismic P-phases plays a significant role in real-time seismic monitoring, which provides critical guidance for emergency response activities. Whil…