Modelling and Analytics of Driving-related Energy Performance of Electric Vehicles. - Yuan Rong Dexter Neo; Duong Tran; Yew Ming Yeap; Li Hong Idris Lim (ITSC, 2019)

Morphset: Augmenting Categorical Emotion Datasets With Dimensional Affect Labels Using Face Morphing. - Vassilios Vonikakis; Yuan Rong Dexter Neo; Stefan Winkler 001 (ICIP, 2021)

Zero-Shot Learning in Named-Entity Recognition with External Knowledge. - Nguyen Van Hoang; Soeren Hougaard Mulvad; Yuan Rong Dexter Neo; Yang Yue (CoRR, 2021)

Large-Scale Facial Expression Recognition Using Dual-Domain Affect Fusion for Noisy Labels. - Dexter Neo; Tsuhan Chen; Stefan Winkler 001 (CVPR Workshops, 2023)

DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic. - Dexter Neo; Tsuhan Chen (CoRR, 2023)

FER-C: Benchmarking Out-of-Distribution Soft Calibration for Facial Expression Recognition. - Dexter Neo; Tsuhan Chen (CoRR, 2023)

MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift. - Dexter Neo; Stefan Winkler 001; Tsuhan Chen (AAAI, 2024)

MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract). - Dexter Neo (AAAI, 2024)

VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models. - Dexter Neo; Tsuhan Chen (CoRR, 2024)