Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. - Yifei Wang 001; Qi Zhang 067; Yisen Wang 001; Jiansheng Yang; Zhouchen Lin (ICLR, 2022)

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. - Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (NeurIPS, 2022)

A Message Passing Perspective on Learning Dynamics of Contrastive Learning. - Yifei Wang 001; Qi Zhang 067; Tianqi Du; Jiansheng Yang; Zhouchen Lin; Yisen Wang 001 (ICLR, 2023)

On the Generalization of Multi-modal Contrastive Learning. - Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (ICML, 2023)

Identifiable Contrastive Learning with Automatic Feature Importance Discovery. - Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (NeurIPS, 2023)

Non-negative Contrastive Learning. - Yifei Wang 001; Qi Zhang 067; Yaoyu Guo; Yisen Wang 001 (ICLR, 2024)

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. - Qi Zhang 067; Tianqi Du; Haotian Huang; Yifei Wang 001; Yisen Wang 001 (ICML, 2024)

Projection Head is Secretly an Information Bottleneck. - Zhuo Ouyang; Kaiwen Hu; Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (ICLR, 2025)

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. - Qi Zhang 067; Yifei Wang 001; Jingyi Cui; Xiang Pan 001; Qi Lei; Stefanie Jegelka; Yisen Wang 001 (ICLR, 2025)

On the Theoretical Understanding of Identifiable Sparse Autoencoders and Beyond. - Jingyi Cui; Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (CoRR, 2025)