Object Detection as a Positive-Unlabeled Problem. - Yuewei Yang; Kevin J. Liang; Lawrence Carin (BMVC, 2020)

Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. - Dong Wang 037; Yuewei Yang; Chenyang Tao; Fanjie Kong; Ricardo Henao; Lawrence Carin (CoRR, 2020)

AI-Powered IoT System at the Edge. - Yiran Chen 001; Ang Li 005; Huanrui Yang; Tunhou Zhang; Yuewei Yang; Hai Li 001; Suman Banerjee 001; Miroslav Pajic (CogMI, 2021)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Lawrence Carin; Fan Li; Chenyang Tao (CoRR, 2021)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Jing Huang; Lawrence Carin; Fan Li; Chenyang Tao (NeurIPS, 2022)

More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. - Yuewei Yang; Jingwei Sun 002; Ang Li 005; Hai Li 001; Yiran Chen 001 (CoRR, 2022)

Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. - Yuewei Yang; Hai Li 001; Yiran Chen 001 (ICCV, 2023)

Efficient Quantization Strategies for Latent Diffusion Models. - Yuewei Yang; Xiaoliang Dai; Jialiang Wang; Peizhao Zhang; Hongbo Zhang (CoRR, 2023)

From Labeled to Unlabeled Data: Understand Deep Visual Representations under Causal Lens. - Yuewei Yang (2023)

An Analysis on Quantizing Diffusion Transformers. - Yuewei Yang; Jialiang Wang; Xiaoliang Dai; Peizhao Zhang; Hongbo Zhang (CoRR, 2024)