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Hongwei Wang
Hongwei Wang
Senior Researcher, Tencent AI Lab Seattle
Verified email at tencent.com - Homepage
Title
Cited by
Cited by
Year
DKN: Deep Knowledge-Aware Network for News Recommendation
H Wang, F Zhang, X Xie, M Guo
The World Wide Web Conference, 1835-1844, 2018
5632018
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
ACM International Conference on Information and Knowledge Management, 417-426, 2018
4972018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo
AAAI Conference on Artificial Intelligence, 2508-2515, 2018
4682018
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
2992019
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu
ACM International Conference on Web Search and Data Mining, 592-600, 2018
2412018
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
2252019
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
ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 968-977, 2019
2132019
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
P Li, Y Wang, H Wang, J Leskovec
Neural Information Processing Systems, 4465-4478, 2020
76*2020
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
742017
Combining Graph Convolutional Neural Networks and Label Propagation
H Wang, J Leskovec
ACM Transactions on Information Systems 40 (4), 1-27, 2021
69*2021
Lipschitz Generative Adversarial Nets
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang
International Conference on Machine Learning, 7584-7593, 2019
69*2019
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 37 (3), 1-26, 2019
642019
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
482017
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
Z Zhou, Q Zhang, G Lu, H Wang, W Zhang, Y Yu
International Conference on Learning Representations, 2018
432018
Relational Message Passing for Knowledge Graph Completion
H Wang, H Ren, J Leskovec
ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 1697-1707, 2021
35*2021
Practical Lessons for Job Recommendations in the Cold-Start Scenario
J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun
Recommender Systems Challenge 2017, 1-6, 2017
262017
Joint Topic-Semantic-Aware Social Recommendation for Online Voting
H Wang, J Wang, M Zhao, J Cao, M Guo
ACM International Conference on Information and Knowledge Management, 347-356, 2017
242017
Towards Scalable and Reliable In-Memory Storage System: A Case Study with Redis
S Chen, X Tang, H Wang, H Zhao, M Guo
IEEE Trustcom/BigDataSE/ISPA, 1660-1667, 2016
232016
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 33 (8), 3090-3103, 2019
142019
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
C Xu, W Huang, H Wang, G Wang, TY Liu
AAAI Conference on Artificial Intelligence, 5525-5532, 2019
122019
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Articles 1–20