Publications

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
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

Zhaoning Yu and 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

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]

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]

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]

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]

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]