Camera identification for very low bit rate time varying quantization noise videos. - Zitong Yu; Lianshi Lin; Bingo Wing-Kuen Ling; Charlotte Yuk-Fan Ho; Chunmei Qing; Hailiang Xu; Weihang Dai; Yuming Liang; Jiameng Chen; Qingyun Dai (CSNDSP, 2014)

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. - Weihang Dai; Xiaomeng Li 001; Wan Hang Keith Chiu; Michael David Kuo; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2022)

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. - Weihang Dai; Xiaomeng Li 001; Kwang-Ting Cheng (AAAI, 2023)

Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. - Weihang Dai; Xiaomeng Li 001; Taihui Yu; Di Zhao; Jun Shen 008; Kwang-Ting Cheng (MICCAI (7), 2023)

Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. - Lehan Wang; Weihang Dai; Mei Jin; Chubin Ou; Xiaomeng Li 001 (MICCAI (7), 2023)

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. - Weihang Dai; Yao Du; Hanru Bai; Kwang-Ting Cheng; Xiaomeng Li 001 (NeurIPS, 2023)

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. - Weihang Dai; Xiaomeng Li 001; Xinpeng Ding; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2023)

Teach CLIP to Develop a Number Sense for Ordinal Regression. - Yao Du; Qiang Zhai; Weihang Dai; Xiaomeng Li 001 (ECCV (85), 2024)

A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design. - Weihang Dai (CoRR, 2025)