Weihang Dai

17 papers A* 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive Learning for Semi-Supervised Deep Regression With Generalized Ordinal Rankings From Spectral Seriation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ce Wang, Weihang Dai, Hanru Bai, Xiaomeng Li
2025 J jnl
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design.
CoRR
Weihang Dai
2025 J jnl
Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation.
CoRR
Ce Wang, Weihang Dai, Hanru Bai, Xiaomeng Li
2024 — conf
Teach CLIP to Develop a Number Sense for Ordinal Regression.
ECCV (85)
Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li
2024 J jnl
Teach CLIP to Develop a Number Sense for Ordinal Regression.
CoRR
Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li
2023 J jnl
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos.
IEEE Trans. Medical Imaging
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
2023 — conf
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images.
MICCAI (7)
Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li
2023 J jnl
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images.
CoRR
Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li
2023 — conf
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes.
MICCAI (7)
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
2023 J jnl
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes.
CoRR
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
2023 A* conf
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation.
NeurIPS
Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li
2023 A* conf
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
AAAI
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
2023 J jnl
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
CoRR
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
2022 J jnl
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.
IEEE Trans. Medical Imaging
Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng
2022 J jnl
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos.
CoRR
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
2021 J jnl
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.
CoRR
Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng
2014 — conf
Camera identification for very low bit rate time varying quantization noise videos.
CSNDSP
Zitong Yu, Lianshi Lin, Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho, Chunmei Qing, Hailiang Xu, Weihang Dai, Yuming Liang, Jiameng Chen, Qingyun Dai