Yifei Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 32

Top Topics

Gaussian Convolution

Top Venues

Publications

Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. CoRR (2024)
Yifei Wang, Jizhe Zhang, Yisen Wang
Do Generated Data Always Help Contrastive Learning? CoRR (2024)
Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
Non-negative Contrastive Learning. CoRR (2024)
Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang
A Theoretical Understanding of Self-Correction through In-context Alignment. CoRR (2024)
Yifei Wang, Jizhe Zhang, Yisen Wang
Do Generated Data Always Help Contrastive Learning? ICLR (2024)
Tianqi Du, Yifei Wang, Yisen Wang
On the Role of Discrete Tokenization in Visual Representation Learning. ICLR (2024)
George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang
A Canonization Perspective on Invariant and Equivariant Learning. CoRR (2024)
Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang
How to Craft Backdoors with Unlabeled Data Alone? CoRR (2024)
Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
Non-negative Contrastive Learning. ICLR (2024)
Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
A Message Passing Perspective on Learning Dynamics of Contrastive Learning. ICLR (2023)
Zeming Wei, Yifei Wang, Yisen Wang
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations. CoRR (2023)
Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. ICLR (2023)
Rundong Luo, Yifei Wang, Yisen Wang
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. ICLR (2023)
Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. ICLR (2023)
Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
Rethinking Weak Supervision in Helping Contrastive Learning. CoRR (2023)
Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR (2023)
Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Equilibrium Image Denoising With Implicit Differentiation. IEEE Trans. Image Process. 32 (2023)
Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters. ICML (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Optimization-Induced Graph Implicit Nonlinear Diffusion. CoRR (2022)
Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. ICLR (2022)
Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. CoRR (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS (2022)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. CoRR (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. Big Data (2022)
Qi Zhang, Yifei Wang, Yisen Wang
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. NeurIPS (2022)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. ICLR (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR (2022)
Qi Zhang, Yifei Wang, Yisen Wang
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. CoRR (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Optimization-Induced Graph Implicit Nonlinear Diffusion. ICML (2022)
Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. NeurIPS (2022)
Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Residual Relaxation for Multi-view Representation Learning. NeurIPS (2021)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Dissecting the Diffusion Process in Linear Graph Convolutional Networks. NeurIPS (2021)