Hongwei Wang

Orcid: 0000-0001-7474-8271

Affiliations:
  • 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.

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Bibliography

2022
Combining Graph Convolutional Neural Networks and Label Propagation.
ACM Trans. Inf. Syst., 2022

2021
Learning Graph Representation With Generative Adversarial Nets.
IEEE Trans. Knowl. Data Eng., 2021

Multi-agent Imitation Learning with Copulas.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Relational Message Passing for Knowledge Graph Completion.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Visual-Texual Emotion Analysis With Deep Coupled Video and Danmu Neural Networks.
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

Entity Context and Relational Paths for Knowledge Graph Completion.
CoRR, 2020

Unifying Graph Convolutional Neural Networks and Label Propagation.
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

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
ACM Trans. Inf. Syst., 2019

Sparsely Self-Supervised Generative Adversarial Nets for Radio Frequency Estimation.
IEEE J. Sel. Areas Commun., 2019

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
CoRR, 2019

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Proceedings of the World Wide Web Conference, 2019

Knowledge Graph Convolutional Networks for Recommender Systems.
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

Lipschitz Generative Adversarial Nets.
Proceedings of the 36th International Conference on Machine Learning, 2019

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods.
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
MeLoDy: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing.
IEEE Trans. Parallel Distributed Syst., 2018

Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CoRR, 2018

DKN: Deep Knowledge-Aware Network for News Recommendation.
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

GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
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
Collaborative Filtering-Based Recommendation of Online Social Voting.
IEEE Trans. Comput. Soc. Syst., 2017

Joint Topic-Semantic-aware Social Recommendation for Online Voting.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Towards Scalable and Reliable In-Memory Storage System: A Case Study with Redis.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016


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