Cui, Jingyi

8 publications

ICLR 2026 Constrained Diffusion for Protein Design with Hard Structural Constraints Jacob K Christopher, Austin Seamann, Jingyi Cui, Sagar D Khare, Ferdinando Fioretto

ICLR 2026 Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective Yi-Ge Zhang, Jingyi Cui, Qiran Li, Yisen Wang

ICLR 2026 On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy Jingyi Cui, Qi Zhang, Yifei Wang, Yisen Wang

ICML 2025 An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Jingyi Cui, Hongwei Wen, Yisen Wang

ICLR 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang

ICML 2023 Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang

ICML 2021 GBHT: Gradient Boosting Histogram Transform for Density Estimation Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin

ICML 2021 Leveraged Weighted Loss for Partial Label Learning Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin