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Publications

Publications

I have published 12 papers as the first author (4 TPAMI, 1 NeurIPS, 1 ICML, 3 KDD, 1 WWW, 1 AAAI, and 1 ICDM) and co-authored another 4 papers (3 KDD and 1 SDM).

2021

  • 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]

2020

  • 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]

2019

  • 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]

2018

  • 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]

2017

  • 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]