3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Generative AI for Visualization: State of the Art and Future Directions
Yilin Ye, Jianing Hao, Yihan Hou +4
Generative AI (GenAI) has witnessed remarkable progress in recent years and demonstrated impressive performance in various generation tasks in different domains such as computer vi…
cs.HC2024★ 2 cited
IntentTuner: An Interactive Framework for Integrating Human Intents in Fine-tuning Text-to-Image Generative Models
Xingchen Zeng, Ziyao Gao, Yilin Ye +1
Fine-tuning facilitates the adaptation of text-to-image generative models to novel concepts (e.g., styles and portraits), empowering users to forge creatively customized content. R…
cs.HC2023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
Jianing Hao, Qing Shi, Yilin Ye +1
Deep learning (DL) approaches are being increasingly used for time-series forecasting, with many efforts devoted to designing complex DL models. Recent studies have shown that the…