| 2025 | ICLR | Global Convergence in Neural ODEs: Impact of Activation Functions. | Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao |
| 2025 | ICLR | MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation. | Zhaoning Yu, Hongyang Gao |
| 2024 | ICSE | Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. | Shibbir Ahmed, Hongyang Gao, Hridesh Rajan |
| 2024 | ICSE | Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. | Benjamin Steenhoek, Hongyang Gao, Wei Le |
| 2022 | ICLR | A global convergence theory for deep ReLU implicit networks via over-parameterization. | Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao |
| 2022 | ICML | Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks. | Zhaoning Yu, Hongyang Gao |
| 2020 | AAAI | Adaptive Convolutional ReLUs. | Hongyang Gao, Lei Cai, Shuiwang Ji |
| 2020 | KDD | Kronecker Attention Networks. | Hongyang Gao, Zhengyang Wang, Shuiwang Ji |
| 2020 | KDD | Towards Deeper Graph Neural Networks. | Meng Liu, Hongyang Gao, Shuiwang Ji |
| 2019 | ICML | Graph U-Nets. | Hongyang Gao, Shuiwang Ji |
| 2019 | KDD | Graph Representation Learning via Hard and Channel-Wise Attention Networks. | Hongyang Gao, Shuiwang Ji |
| 2019 | WWW | Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. | Hongyang Gao, Yongjun Chen, Shuiwang Ji |
| 2019 | SDM | Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation. | Lei Cai, Hongyang Gao, Shuiwang Ji |
| 2018 | KDD | Deep Adversarial Learning for Multi-Modality Missing Data Completion. | Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji |
| 2018 | KDD | Voxel Deconvolutional Networks for 3D Brain Image Labeling. | Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji |
| 2018 | KDD | Large-Scale Learnable Graph Convolutional Networks. | Hongyang Gao, Zhengyang Wang, Shuiwang Ji |
| 2017 | ICDM | Efficient and Invariant Convolutional Neural Networks for Dense Prediction. | Hongyang Gao, Shuiwang Ji |