Gao, Hongyang

10 publications

ICLR 2025 Global Convergence in Neural ODEs: Impact of Activation Functions Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao

ICLR 2025 MAGE: Model-Level Graph Neural Networks Explanations via Motif-Based Graph Generation Zhaoning Yu, Hongyang Gao

NeurIPS 2023 Meta-Adam: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning Siyuan Sun, Hongyang Gao

NeurIPS 2023 Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao

ICLR 2022 A Global Convergence Theory for Deep ReLU Implicit Networks via Over-Parameterization Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao

ICML 2022 Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu, Hongyang Gao

AAAI 2020 Adaptive Convolutional ReLUs Hongyang Gao, Lei Cai, Shuiwang Ji

ICLR 2020 Kronecker Attention Networks Hongyang Gao, Zhengyang Wang, Shuiwang Ji

ICML 2019 Graph U-Nets Hongyang Gao, Shuiwang Ji

NeurIPS 2018 ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions Hongyang Gao, Zhengyang Wang, Shuiwang Ji