4 citations · 5 across the 6 of their papers we have counts for
6 papers
Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song
Diffusion models have become a widely used framework for probabilistic time series forecasting, modeling the distribution of future values given an observed history. In time series…
Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis
Chen Su, Yuanhe Tian, Yan Song
Multimodal sentiment analysis (MSA) aims to predict human sentiment from textual, acoustic, and visual information in videos. Recent studies improve multimodal fusion by modeling m…
Diffusion Models for Time Series Forecasting: A Survey
Chen Su, Zhengzhou Cai, Yuanhe Tian +3
Diffusion models, initially developed for image synthesis, demonstrate remarkable generative capabilities. Recently, their application has expanded to time series forecasting (TSF)…
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design
Ruyi Gan, Xiaojun Wu, Junyu Lu +8
With the open-sourcing of text-to-image models (T2I) such as stable diffusion (SD) and stable diffusion XL (SD-XL), there is an influx of models fine-tuned in specific domains base…
Improving Image Captioning via Predicting Structured Concepts
Ting Wang, Weidong Chen, Yuanhe Tian +2
Having the difficulty of solving the semantic gap between images and texts for the image captioning task, conventional studies in this area paid some attention to treating semantic…
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu, Yuanhe Tian, Yan Song
Radiology report generation (RRG) aims to automatically generate free-text descriptions from clinical radiographs, e.g., chest X-Ray images. RRG plays an essential role in promotin…