1 citations · 1 across the 1 of their papers we have counts for
4 papers
Semantic-Enhanced Time-Series Forecasting via Large Language Models
Hao Liu, Xiaoxing Zhang, Chun Yang +1
Time series forecasting plays a significant role in finance, energy, meteorology, and IoT applications. Recent studies have leveraged the generalization capabilities of large langu…
Stationarity Exploration for Multivariate Time Series Forecasting
Hao Liu, Chun Yang, Zhang xiaoxing +2
Deep learning-based time series forecasting has found widespread applications. Recently, converting time series data into the frequency domain for forecasting has become popular fo…
Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling
Hongyang Zhou, Xiaobin Zhu, Liuling Chen +4
Unsupervised real-world super-resolution (SR) faces critical challenges due to the complex, unknown degradation distributions in practical scenarios. Existing methods struggle to g…
Similarity Matters: A Novel Depth-guided Network for Image Restoration and A New Dataset
Junyi He, Liuling Chen, Hongyang Zhou +5
Image restoration has seen substantial progress in recent years. However, existing methods often neglect depth information, which hurts similarity matching, results in attention di…