Publications (17)
Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification
Filippo Cenacchi, Longbing Cao, Runze Yang
Post-hoc calibration for time-series classification usually remaps output scores, but deployment decisions such as trust, abstention, and review depend on whether a confident predi…
UGotMe: An Embodied System for Affective Human-Robot Interaction
Peizhen Li, Longbing Cao, Xiao-Ming Wu +2
Equipping humanoid robots with the capability to understand emotional states of human interactants and express emotions appropriately according to situations is essential for affec…
Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition
Xu Zhang, Longbing Cao, Runze Yang +1
Speech emotion recognition (SER) is essential for humanoid robot tasks such as social robotic interactions and robotic psychological diagnosis, where interpretable and efficient mo…
Modeling enzyme temperature stability from sequence segment perspective
Ziqi Zhang, Shiheng Chen, Runze Yang +10
Developing enzymes with desired thermal properties is crucial for a wide range of industrial and research applications, and determining temperature stability is an essential step i…
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Runze Yang, Longbing Cao, Xin You +3
The integration of Fourier transform and deep learning opens new avenues for time series forecasting. We reconsider the Fourier transform from a basis functions perspective. Specif…
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
Runze Yang, Longbing Cao, Xiaoming Wu +4
Separating multiple effects in time series is fundamental yet challenging for time-series forecasting (TSF). However, existing TSF models cannot effectively learn interpretable mul…