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Hongyang Gao
Hongyang Gao
Assistant Professor, Department of Computer Science, Iowa State University
Verified email at iastate.edu - Homepage
Title
Cited by
Cited by
Year
Graph U-Nets
H Gao, S Ji
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
5712019
Large-Scale Learnable Graph Convolutional Networks
H Gao, Z Wang, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
3892018
Towards deeper graph neural networks
M Liu, H Gao, S Ji
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1722020
Pixel Transposed Convolutional Networks
H Gao, H Yuan, Z Wang, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
94*2019
Deep adversarial learning for multi-modality missing data completion
L Cai, Z Wang, H Gao, D Shen, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
612018
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
H Gao, Z Wang, L Cai, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
552020
Graph Representation Learning via Hard and Channel-Wise Attention Networks
H Gao, S Ji
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
392019
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
L Cai, H Gao, S Ji
The SIAM International Conference on Data Mining (SDM), 2019
312019
Topology-aware graph pooling networks
H Gao, Y Liu, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4512 …, 2021
192021
Learning graph pooling and hybrid convolutional operations for text representations
H Gao, Y Chen, S Ji
The world wide web conference, 2743-2749, 2019
192019
Voxel Deconvolutional Networks for 3D Brain Image Labeling
Y Chen, H Gao, L Cai, M Shi, D Shen, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
132018
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
H Gao, S Ji
IEEE International Conference on Data Mining (ICDM), 2017
102017
Kronecker attention networks
H Gao, Z Wang, S Ji
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
82020
Adaptive Convolutional ReLUs
H Gao, L Cai, S Ji
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 3914-3921, 2020
62020
A global convergence theory for deep ReLU implicit networks via over-parameterization
T Gao, H Liu, J Liu, H Rajan, H Gao
arXiv preprint arXiv:2110.05645, 2021
42021
A mathematical view of attention models in deep learning
S Ji, Y Xie, H Gao
Texas A&M University, April, 2019
22019
Lightweight identity-based broadcast encryption over wireless ad hoc Networks
C Yuan, H Gao, W Zhou
2011 7th International Conference on Wireless Communications, Networking and …, 2011
22011
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths
T Gao, H Gao
arXiv preprint arXiv:2205.07463, 2022
2022
Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction
Z Yu, H Gao
arXiv preprint arXiv:2202.00529, 2022
2022
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
H Gao, Y Liu, X Zhang, S Ji
arXiv preprint arXiv:2103.08387, 2021
2021
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