Hongyang Gao
Hongyang Gao
Assistant Professor, Department of Computer Science, Iowa State University
Geverifieerd e-mailadres voor iastate.edu - Homepage
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Graph U-Nets
H Gao, S Ji
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
2772019
Large-Scale Learnable Graph Convolutional Networks
H Gao, Z Wang, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
2252018
Pixel Transposed Convolutional Networks
H Gao, H Yuan, Z Wang, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
54*2019
Towards deeper graph neural networks
M Liu, H Gao, S Ji
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
362020
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
332020
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
332018
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
202019
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
19*2019
Learning graph pooling and hybrid convolutional operations for text representations
H Gao, Y Chen, S Ji
The World Wide Web Conference, 2743-2749, 2019
132019
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
102018
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
H Gao, S Ji
IEEE International Conference on Data Mining (ICDM), 2017
82017
Topology-aware graph pooling networks
H Gao, Y Liu, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
52021
Kronecker Attention Networks
H Gao, Z Wang, S Ji
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
32020
Adaptive Convolutional ReLUs
H Gao, L Cai, S Ji
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 3914-3921, 2020
22020
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
A Mathematical View of Attention Models in Deep Learning
S Ji, Y Xie, H Gao
Texas A&M University, 2019
12019
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
Graph Neural Networks: A Feature and Structure Learning Approach
H Gao
2020
Siamese Attention Networks
H Gao, Y Xie, S Ji
2019
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Artikelen 1–19