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Hongyang Gao
Hongyang Gao
Assistant Professor, Department of Computer Science, Iowa State University
iastate.edu의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Graph U-Nets
H Gao, S Ji
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
12112019
Large-Scale Learnable Graph Convolutional Networks
H Gao, Z Wang, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
6312018
Towards deeper graph neural networks
M Liu, H Gao, S Ji
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
5292020
Pixel Transposed Convolutional Networks
H Gao, H Yuan, Z Wang, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
159*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
1342018
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
892020
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
802019
Topology-aware graph pooling networks
H Gao, Y Liu, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4512 …, 2021
792021
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
652019
Learning graph pooling and hybrid convolutional operations for text representations
H Gao, Y Chen, S Ji
The world wide web conference, 2743-2749, 2019
422019
Molecular representation learning via heterogeneous motif graph neural networks
Z Yu, H Gao
International Conference on Machine Learning, 25581-25594, 2022
40*2022
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
162021
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
162018
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
H Gao, S Ji
IEEE International Conference on Data Mining (ICDM), 2017
162017
Kronecker attention networks
H Gao, Z Wang, S Ji
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
132020
Motifexplainer: a motif-based graph neural network explainer
Z Yu, H Gao
arXiv preprint arXiv:2202.00519, 2022
122022
Adaptive Convolutional ReLUs
H Gao, L Cai, S Ji
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 3914-3921, 2020
112020
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
B Steenhoek, H Gao, W Le
Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024
52024
A mathematical view of attention models in deep learning
S Ji, Y Xie, H Gao
Texas A&M University, April, 2019
42019
High-frequency normalizing flow for image rescaling
Y Zhu, C Wang, C Dong, K Zhang, H Gao, C Yuan
IEEE Transactions on Image Processing, 2022
32022
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