3 papers
cs.CV2024
Multi-Head Encoding for Extreme Label Classification
Daojun Liang, Haixia Zhang, Dongfeng Yuan +1
The number of categories of instances in the real world is normally huge, and each instance may contain multiple labels. To distinguish these massive labels utilizing machine learn…
cs.LG2024
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
Daojun Liang, Haixia Zhang, Jing Wang +2
In this paper, we find that existing online forecasting methods have the following issues: 1) They do not consider the update frequency of streaming data and directly use labels (f…
cs.LG2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
Daojun Liang, Haixia Zhang, Dongfeng Yuan +2
In this paper, we find that ubiquitous time series (TS) forecasting models are prone to severe overfitting. To cope with this problem, we embrace a de-redundancy approach to progre…