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Hongyang Gao, Ph.D. Candidate |
I am currently a Ph.D. Candidate in Department of Computer Science & Engineering, Texas A&M University. My advisor is Dr. Shuiwang Ji.
Ph.D. in Computer Science, Texas A&M University, Aug 2020 (Expected)
M.S. in Computer Science, Tsinghua Univeristy, Jul 2012
B.S. in Biomedical English, Peking University, Jul 2009
Hongyang Gao, Lei Cai, and Shuiwang Ji
Adaptive Convolutional ReLUs
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
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]
[poster]
[slides]
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
[poster]
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]
Machine learning
Deep learning
Computational biology
Computational neuroscience