1 citations · 2 across the 10 of their papers we have counts for
11 papers
Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
Filippo Cenacchi, Longbing Cao, Runze Yang
High test accuracy and good aggregate calibration do not show whether an individual prediction is structurally supported by its evidence. In tabular decision systems, failures ofte…
Towards Voxel Spacing Consistency for Medical Image Segmentation
Xin You, Runze Yang, Minghui Zhang +6
Volumetric medical image segmentation is essential for both preoperative diagnosis and intraoperative guidance. While recent years have witnessed rapid progress in segmentation arc…
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…
FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration
Filippo Cenacchi, Longbing Cao, Runze Yang
Calibration is usually evaluated in aggregate, but the most dangerous failures are often local: predictions that remain highly confident despite being wrong. We study this failure…
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…
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…
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…
FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
Xin You, Runze Yang, Chuyan Zhang +3
The temporal interpolation task for 4D medical imaging, plays a crucial role in clinical practice of respiratory motion modeling. Following the simplified linear-motion hypothesis,…
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation
Kun Fang, Qinghua Tao, Mingzhen He +6
Out-of-Distribution (OoD) detection is vital for the reliability of deep neural networks, the key of which lies in effectively characterizing the disparities between OoD and In-Dis…
X2C: A Large-Scale Benchmark for Nuanced Humanoid Facial Expression Imitation
Peizhen Li, Longbing Cao, Xiao-Ming Wu +2
Fine-grained facial expression transfer from humans to humanoid agents presents a unique pattern recognition challenge due to the significant domain gap between biological facial d…
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…