Conference Publication

 

  • Relational deep learning: A deep latent variable model for link prediction.
    Hao Wang, Xingjian Shi, Dit-Yan Yeung.
    Thirty-First AAAI Conference on Artificial Intelligence (AAAI),
    2017.
    [pdf] [supplementary] [code] [data]

  • Collaborative recurrent autoencoder: recommend while learning to fill in the blanks.
    Hao Wang, Xingjian Shi, Dit-Yan Yeung.
    Thirtieth Annual Conference on Neural Information Processing Systems (NIPS),
    2016.
    [pdf] [supplementary] [spotlight video] [code and data]

  • Natural parameter networks: a class of probabilistic neural networks.
    Hao Wang, Xingjian Shi, Dit-Yan Yeung.
    Thirtieth Annual Conference on Neural Information Processing Systems (NIPS),
    2016.
    [pdf] [supplementary] [spotlight video] [code and data]

  • Convolutional LSTM network: A machine learning approach for precipitation nowcasting.
    Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo.
    Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS),
    2015.
    [pdf] [code and data]

  • Collaborative deep learning for recommender systems.
    Hao Wang, Naiyan Wang, Dit-Yan Yeung.
    Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD),
    2015.
    [pdf] [code] [data] [MXNet code] [ipynb]

  • Relational stacked denoising autoencoder for tag recommendation.
    Hao Wang, Xingjian Shi, Dit-Yan Yeung.
    Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI),
    2015.
    [pdf] [supplementary] [code] [data]

  • Online Egocentric models for citation networks.
    Hao Wang, Wu-Jun Li.
    Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI),
    2013.
    [pdf]

  • Collaborative topic regression with social regularization for tag recommendation.
    Hao Wang, Binyi Chen, Wu-Jun Li.
    Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI),
    2013.
    [pdf] [data]

Journal Publication

 

  • Towards Bayesian deep learning: a framework and some existing methods.
    Hao Wang, Dit-Yan Yeung.
    To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE),
    2016.
    [pdf]

  • Relational collaborative topic regression for recommender systems.
    Hao Wang, Wu-Jun Li.
    IEEE Transactions on Knowledge and Data Engineering (TKDE),
    27(5): 1343-1355, 2015.
    [pdf] [data]

 
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