Hongwei Wang
Orcid: 0000-0001-7474-8271Affiliations:
- Stanford University, Computer Science Department, CA, USA
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
  According to our database1,
  Hongwei Wang
  authored at least 31 papers
  between 2016 and 2022.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2022
    ACM Trans. Inf. Syst., 2022
    
  
  2021
    IEEE Trans. Knowl. Data Eng., 2021
    
  
    Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
    
  
    Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
    
  
  2020
    IEEE Trans. Multim., 2020
    
  
Joint Topic-Semantic-aware Social Matrix Factorization for online voting recommendation.
    
  
    Knowl. Based Syst., 2020
    
  
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning.
    
  
    CoRR, 2020
    
  
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning.
    
  
    Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
    
  
    Proceedings of the 20th IEEE International Conference on Data Mining, 2020
    
  
  2019
    ACM Trans. Inf. Syst., 2019
    
  
    IEEE J. Sel. Areas Commun., 2019
    
  
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
    
  
    CoRR, 2019
    
  
    Proceedings of the World Wide Web Conference, 2019
    
  
    Proceedings of the World Wide Web Conference, 2019
    
  
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
    
  
    Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
    
  
    Proceedings of the 36th International Conference on Machine Learning, 2019
    
  
    Proceedings of the 7th International Conference on Learning Representations, 2019
    
  
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks.
    
  
    Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
    
  
  2018
Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
    
  
    CoRR, 2018
    
  
    Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
    
  
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
    
  
    Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
    
  
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
    
  
    Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
    
  
Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation.
    
  
    Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
    
  
    Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
    
  
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation.
    
  
    Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
    
  
  2017
    IEEE Trans. Comput. Soc. Syst., 2017
    
  
    Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
    
  
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
    
  
  2016
    Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016