Hongwei Wang
Hongwei Wang
Computer Science Department, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Graphgan: Graph representation learning with generative adversarial nets
H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo
arXiv preprint arXiv:1711.08267, 2017
1942017
DKN: Deep knowledge-aware network for news recommendation
H Wang, F Zhang, X Xie, M Guo
Proceedings of the 2018 world wide web conference, 1835-1844, 2018
1612018
Ripplenet: Propagating user preferences on the knowledge graph for recommender systems
H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo
Proceedings of the 27th ACM International Conference on Information and …, 2018
1052018
Shine: Signed heterogeneous information network embedding for sentiment link prediction
H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
1012018
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
H Wang, F Zhang, M Zhao, W Li, X Xie, M Guo
The World Wide Web Conference, 2000-2010, 2019
462019
Knowledge graph convolutional networks for recommender systems
H Wang, M Zhao, X Xie, W Li, M Guo
The world wide web conference, 3307-3313, 2019
392019
MeLoDy: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing
H Wang, S Guo, J Cao, M Guo
IEEE Transactions on Parallel and Distributed Systems 29 (4), 901-914, 2017
352017
Collaborative filtering-based recommendation of online social voting
X Yang, C Liang, M Zhao, H Wang, H Ding, Y Liu, Y Li, J Zhang
IEEE Transactions on Computational Social Systems 4 (1), 1-13, 2017
302017
Knowledge-aware graph neural networks with label smoothness regularization for recommender systems
H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
282019
Lipschitz Generative Adversarial Nets
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang
Proceedings of the 36th International Conference on Machine Learning, 2019
23*2019
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
Z Zhou, Q Zhang, G Lu, H Wang, W Zhang, Y Yu
Proceedings of the 7th International Conference on Learning Representations, 2018
172018
Exploring high-order user preference on the knowledge graph for recommender systems
H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo
ACM Transactions on Information Systems (TOIS) 37 (3), 1-26, 2019
152019
Joint topic-semantic-aware social recommendation for online voting
H Wang, J Wang, M Zhao, J Cao, M Guo
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
152017
Practical lessons for job recommendations in the cold-start scenario
J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun
Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017
132017
Towards scalable and reliable in-memory storage system: A case study with Redis
S Chen, X Tang, H Wang, H Zhao, M Guo
2016 IEEE Trustcom/BigDataSE/ISPA, 1660-1667, 2016
112016
Unifying graph convolutional neural networks and label propagation
H Wang, J Leskovec
arXiv preprint arXiv:2002.06755, 2020
42020
Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
C Li, J Wang, H Wang, M Zhao, W Li, X Deng
IEEE Transactions on Multimedia 22 (6), 1634-1646, 2019
22019
Entity Context and Relational Paths for Knowledge Graph Completion
H Wang, H Ren, J Leskovec
arXiv preprint arXiv:2002.06757, 2020
12020
Learning graph representation with generative adversarial nets
H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, W Li, X Xie, M Guo
IEEE Transactions on Knowledge and Data Engineering, 2019
12019
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation
Z Li, H Wang, M Zhao, W Li, M Guo
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
12018
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Articles 1–20