1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…