Li, Yicheng

14 publications

ICML 2025 Discrepancies Are Virtue: Weak-to-Strong Generalization Through Lens of Intrinsic Dimension Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei

NeurIPS 2025 Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification Qingyi Pan, Yicheng Li

JMLR 2025 Optimal Rates of Kernel Ridge Regression Under Source Condition in Large Dimensions Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

NeurIPS 2025 RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Yan Gong, Yiren Song, Yicheng Li, Chenglin Li, Yin Zhang

NeurIPS 2024 Improving Adaptivity via Over-Parameterization in Sequence Models Yicheng Li, Qian Lin

JMLR 2024 On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin

NeurIPS 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory Guhan Chen, Yicheng Li, Qian Lin

JMLR 2024 On the Optimality of Misspecified Spectral Algorithms Haobo Zhang, Yicheng Li, Qian Lin

NeurIPS 2024 On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin

NeurIPS 2023 On the Asymptotic Learning Curves of Kernel Ridge Regression Under Power-Law Decay Yicheng Li, Haobo Zhang, Qian Lin

ICML 2023 On the Optimality of Misspecified Kernel Ridge Regression Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

ICLR 2023 On the Saturation Effect of Kernel Ridge Regression Yicheng Li, Haobo Zhang, Qian Lin

AAAI 2020 An Integrated Enhancement Solution for 24-Hour Colorful Imaging Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu

ECCV 2018 Instance-Level Human Parsing via Part Grouping Network Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin