4 papers
Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers
Jinliang Deng, Yiming Niu, Yibo Pan +3
Deep models have substantially advanced 12-lead ECG classification, yet their refinement still relies heavily on human experts to inspect failures and iteratively revise classifier…
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
Yiming Niu, Jinliang Deng, Yongxin Tong
Periodicity is a fundamental characteristic of time series data and has long played a central role in forecasting. Recent deep learning methods strengthen the exploitation of perio…
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu, Jinliang Deng, Lulu Zhang +2
Accurate and efficient multivariate time series (MTS) forecasting is essential for applications such as traffic management and weather prediction, which depend on capturing long-ra…
Precipitation Prediction Using an Ensemble of Lightweight Learners
Xinzhe Li, Sun Rui, Yiming Niu +1
Precipitation prediction plays a crucial role in modern agriculture and industry. However, it poses significant challenges due to the diverse patterns and dynamics in time and spac…