Zhaoning Yu, Hongyang gao MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Thirteenth International Conference on Learning Representations (ICLR), 2025
Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang gao Exploring the Impact of Activation Functions in Training Neural ODEs Thirteenth International Conference on Learning Representations (ICLR), 2025
2024
Shibbir Ahmed, Hongyang Gao, Hridesh Rajan Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment 46th International Conference on Software Engineering (ICSE), 2024
Benjamin Steenhoek, Hongyang Gao, Wei Le Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection 46th International Conference on Software Engineering (ICSE), 2024
2023
Siyuan Sun and Hongyang Gao Meta-AdaM: A Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, and Hongyang Gao Exploring the Gaussian Process Nature of Wide Neural Networks: Insights from Deep Equilibrium Models The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023
Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, and Hongyang Gao HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction International Conference on Bioinformatics and Biomedicine (BIBM), 2023
2022
Zhaoning Yuand Hongyang Gao Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Thirty-ninth International Conference on Machine Learning (ICML), 2022 [paper]
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao A Global Convergence Theory for Deep ReLU Implicit Networks via Over-Parameterization Tenth International Conference on Learning Representations (ICLR), 2022 [paper]
Yiming Zhu, Cairong Wang, Chenyu Dong, Ke Zhang, Hongyang Gao, Chun Yuan High-frequency Normalizing Flow for Image Rescaling Transactions on Image Processing
2021
Hongyang Gao and Shuiwang Ji Graph U-Nets IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [paper][code]
Hongyang Gao, Yi Liu, and Shuiwang Ji Topology-Aware Graph Pooling Networks IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [paper]
2020
Hongyang Gao, Zhengyang Wang, Lei Cai, and Shuiwang Ji ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [paper]
Hongyang Gao and Shuiwang Ji Kronecker Attention Networks The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020 [paper]
Hongyang Gao, Lei Cai, and Shuiwang Ji Adaptive Convolutional ReLUs Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 [paper]
Meng Liu, Hongyang Gao, and Shuiwang Ji Towards Deeper Graph Neural Networks The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020 [paper]
2019
Hongyang Gao, Hao Yuan, Zhengyang Wang, and Shuiwang Ji Pixel Transposed Convolutional Networks IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [paper][code]
Hongyang Gao and Shuiwang Ji Graph U-Nets Thirty-sixth International Conference on Machine Learning (ICML), 2019 [paper][code]
Hongyang Gao and Shuiwang Ji Graph Representation Learning via Hard and Channel-Wise Attention Networks The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019 [paper]
Hongyang Gao, Yongjun Chen, and Shuiwang Ji Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations The Web Conference (WWW), 2019 [paper][code]
Lei Cai, Hongyang Gao and Shuiwang Ji Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation The SIAM International Conference on Data Mining (SDM), 2019 [paper][code]
2018
Hongyang Gao, Zhengyang Wang, and Shuiwang Ji ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions The Thirty-second Annual Conference on Neural Information Processing Systems (NeurIPS), 2018 [paper][code]
Hongyang Gao, Zhengyang Wang, and Shuiwang Ji Large-Scale Learnable Graph Convolutional Networks The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018 [paper][code]
Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, and Shuiwang Ji Voxel Deconvolutional Networks for 3D Brain Image Labeling The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018 [paper][code]
Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, and Shuiwang Ji Deep Adversarial Learning for Multi-Modality Missing Data Completion The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018 [paper][code]
2017
Hongyang Gao and Shuiwang Ji Efficient and Invariant Convolutional Neural Networks for Dense Prediction The IEEE International Conference on Data Mining (ICDM), 2017 [paper][code]
