4 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Daojun Liang, Haixia Zhang, Dongfeng Yuan
Traditional regression and prediction tasks often only provide deterministic point estimates. To estimate the distribution or uncertainty of the response variable, traditional meth…
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…