Yuewei Yang

According to our database, Yuewei Yang authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models.

Dong Wang, Yuewei Yang, Liqun Chen, Zhe Gan, Ricardo Henao, Lawrence Carin

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

An Analysis on Quantizing Diffusion Transformers.

Yuewei Yang, Jialiang Wang, Xiaoliang Dai, Peizhao Zhang, Hongbo Zhang

CoRR, 2024

2023

From Labeled to Unlabeled Data: Understand Deep Visual Representations under Causal Lens.

Yuewei Yang

PhD thesis, 2023

Efficient Quantization Strategies for Latent Diffusion Models.

Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, Hongbo Zhang

CoRR, 2023

Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations.

Yuewei Yang, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

More Generalized and Personalized Unsupervised Representation Learning In A Distributed System.

Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen

CoRR, 2022

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao

CoRR, 2021

AI-Powered IoT System at the Edge.

Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models.

Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin

CoRR, 2020

Object Detection as a Positive-Unlabeled Problem.

Yuewei Yang, Kevin J. Liang, Lawrence Carin

Proceedings of the 31st British Machine Vision Conference 2020, 2020