Yi, Xinping

8 publications

TMLR 2025 Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang

ECML-PKDD 2024 Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin

CVPR 2023 Randomized Adversarial Training via Taylor Expansion Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang

ECCV 2022 Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation Ganlin Liu, Xiaowei Huang, Xinping Yi

CVPR 2022 Enhancing Adversarial Training with Second-Order Statistics of Weights Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang

TMLR 2022 Weight Expansion: A New Perspective on Dropout and Generalization Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang

ICML 2021 Towards Better Robust Generalization with Shift Consistency Regularization Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

NeurIPS 2020 How Does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang