Jailbreak and guard aligned language models with only few in-context demonstrations Z Wei, Y Wang, A Li, Y Mo, Y Wang
arXiv preprint arXiv:2310.06387; 📰 featured & scaled up by Anthropic at …, 2023
183 2023 Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Y Wang*, Q Zhang*, Y Wang, J Yang, Z Lin
ICLR 2022, 2022
140 2022 Dissecting the diffusion process in linear graph convolutional networks Y Wang, Y Wang, J Yang, Z Lin
NeurIPS 2021, 2021
84 2021 How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders Q Zhang*, Y Wang*, Y Wang
NeurIPS 2022 Spotlight 🔦, 2022
72 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Y Mo, D Wu, Y Wang, Y Guo, Y Wang
NeurIPS 2022 Spotlight 🔦, 2022
66 2022 CFA: Class-wise Calibrated Fair Adversarial Training Z Wei, Y Wang, Y Guo, Y Wang
CVPR 2023, 2023
65 2023 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond X Guo*, Y Wang*, T Du*, Y Wang
ICLR 2023, 2023
39 2023 Residual relaxation for multi-view representation learning Y Wang, Z Geng, F Jiang, C Li, Y Wang, J Yang, Z Lin
NeurIPS 2021, 2021
39 2021 Optimization-induced graph implicit nonlinear diffusion Q Chen, Y Wang, Y Wang, J Yang, Z Lin
ICML 2022, 2022
38 2022 Do Generated Data Always Help Contrastive Learning? Y Wang*, J Zhang*, Y Wang
ICLR 2024, 2024
23 2024 G M Li, X Guo, Y Wang, Y Wang, Z Lin
ICML 2022, 2022
23 2022 On the Generalization of Multi-modal Contrastive Learning Q Zhang*, Y Wang*, Y Wang
ICML 2023, 2023
22 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning Y Wang*, Q Zhang*, T Du, J Yang, Z Lin, Y Wang
ICLR 2023, 2023
22 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning R Luo*, Y Wang*, Y Wang
ICLR 2023, 2023
22 2023 Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism Z Zhuo*, Y Wang*, J Ma, Y Wang
ICLR 2023, 2023
21 2023 Adversarial examples are not real features A Li*, Y Wang*, Y Guo, Y Wang
NeurIPS 2023, 2023
16 2023 Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding J Ma*, Y Wang*, Y Wang
NeurIPS 2023, 2023
16 2023 Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Y Wang*, L Li*, J Yang, Z Lin, Y Wang
NeurIPS 2023, 2023
15 2023 Architecture matters: Uncovering implicit mechanisms in graph contrastive learning X Guo*, Y Wang*, Z Wei, Y Wang
NeurIPS 2023, 2023
14 2023 Rethinking Weak Supervision in Helping Contrastive Learning J Cui*, W Huang*, Y Wang*, Y Wang
ICML 2023, 2023
12 2023 
Yisen WangAssistant Professor, Peking UniversityZweryfikowany adres z pku.edu.cn