| Learning graph-based poi embedding for location-based recommendation M Xie, H Yin, H Wang, F Xu, W Chen, S Wang Proceedings of the 25th ACM international on conference on information and …, 2016 | 427 | 2016 |
| Spatial-aware hierarchical collaborative deep learning for POI recommendation H Yin, W Wang, H Wang, L Chen, X Zhou IEEE Transactions on Knowledge and Data Engineering 29 (11), 2537-2551, 2017 | 286 | 2017 |
| Adapting to user interest drift for poi recommendation H Yin, X Zhou, B Cui, H Wang, K Zheng, QVH Nguyen IEEE Transactions on Knowledge and Data Engineering 28 (10), 2566-2581, 2016 | 273 | 2016 |
| PME: projected metric embedding on heterogeneous networks for link prediction H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 248 | 2018 |
| Delving into deep imbalanced regression Y Yang, K Zha, Y Chen, H Wang, D Katabi International conference on machine learning, 11842-11851, 2021 | 233 | 2021 |
| A survey on Bayesian deep learning H Wang, DY Yeung ACM computing surveys (csur) 53 (5), 1-37, 2020 | 195 | 2020 |
| Neural memory streaming recommender networks with adversarial training Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 166 | 2018 |
| Discovering Interpretable Geo-Social Communities for User Behavior Prediction Y Hongzhi, H Zhiting, Z Xiaofang, W Hao, Z Kai, S Sadiq The 32nd IEEE International Conference on Data Engineering (ICDE'16), 2016 | 165 | 2016 |
| Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation H Yin, X Zhou, Y Shao, H Wang, S Sadiq The 24th ACM International Conference on Information and Knowledge …, 2015 | 131 | 2015 |
| Enhancing collaborative filtering with generative augmentation Q Wang, H Yin, H Wang, QVH Nguyen, Z Huang, L Cui Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 118 | 2019 |
| A unified framework for community detection and network representation learning C Tu, X Zeng, H Wang, Z Zhang, Z Liu, M Sun, B Zhang, L Lin IEEE Transactions on Knowledge and Data Engineering 31 (6), 1051-1065, 2018 | 118 | 2018 |
| Continuously indexed domain adaptation H Wang, H He, D Katabi arXiv preprint arXiv:2007.01807, 2020 | 107 | 2020 |
| SPTF: a scalable probabilistic tensor factorization model for semantic-aware behavior prediction H Yin, H Chen, X Sun, H Wang, Y Wang, QVH Nguyen 2017 IEEE International Conference on Data Mining (ICDM), 585-594, 2017 | 106 | 2017 |
| Emotion analysis for personality inference from EEG signals G Zhao, Y Ge, B Shen, X Wei, H Wang IEEE transactions on affective computing 9 (3), 362-371, 2018 | 103 | 2018 |
| Towards Persona-Based Empathetic Conversational Models P Zhong, C Zhang, H Wang, C Miao EMNLP 2020, 2020 | 97 | 2020 |
| Next point-of-interest recommendation on resource-constrained mobile devices Q Wang, H Yin, T Chen, Z Huang, H Wang, Y Zhao, NQ Viet Hung Proceedings of the Web conference 2020, 906-916, 2020 | 97 | 2020 |
| A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users H Wang, Y Fu, Q Wang, Yin, Hongzhi, C Du, H Xiong KDD2017, 2017 | 74 | 2017 |
| Tada: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction T Chen, H Yin, H Chen, L Wu, H Wang, X Zhou, X Li 2018 IEEE international conference on data mining (ICDM), 49-58, 2018 | 73 | 2018 |
| Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion G Niu, Y Li, C Tang, R Geng, J Dai, Q Liu, H Wang, J Sun, F Huang, L Si SIGIR 2021, 2021 | 69 | 2021 |
| A hybrid term–term relations analysis approach for topic detection C Zhang, H Wang, L Cao, W Wang, F Xu Knowledge-Based Systems 93, 109-120, 2016 | 69 | 2016 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandDirección de correo verificada de uq.edu.au
