4 papers
Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration
Gaoxiang Zhao, Ruinan Qiu, Xiaoting Wang +4
Real-Time Auction (RTA) interception decides which incoming advertising requests reach downstream systems, and therefore controls the quality of the data those systems learn from.…
AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging
Gaoxiang Zhao, Chunmao Huang, Li Zhou +1
Multivariate long-term time series forecasting aims to predict future sequences by utilizing historical observations, with a core focus on modeling intra-sequence and cross-channel…
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
GaoXiang Zhao, Li Zhou, XiaoQiang Wang
Long time series forecasting aims to utilize historical information to forecast future states over extended horizons. Traditional RNN-based series forecasting methods struggle to e…
A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation
Gaoxiang Zhao, Lu Wang, Xiaoqiang Wang
The effectiveness of anomaly signal detection can be significantly undermined by the inherent uncertainty of relying on one specified model. Under the framework of model average me…