| 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 | 393 | 2016 |
| 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 | 266 | 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 | 259 | 2017 |
| 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 | 216 | 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 | 158 | 2016 |
| 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 | 143 | 2018 |
| 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 | 134 | 2015 |
| 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 | 104 | 2017 |
| 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 | 78 | 2019 |
| 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 | 77 | 2018 |
| 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 | 70 | 2017 |
| 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 | 66 | 2020 |
| 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 | 65 | 2016 |
| Towards Persona-Based Empathetic Conversational Models P Zhong, C Zhang, H Wang, C Miao EMNLP 2020, 2020 | 63 | 2020 |
| 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 | 62 | 2018 |
| Using argument-based features to predict and analyse review helpfulness H Liu, Y Gao, P Lv, M Li, S Geng, M Li, H Wang EMNLP 2017, 2017 | 55 | 2017 |
| Innovation Support System for Creative Product Design Based on Chance Discovery H Wang, Y Ohsawa, Y Nishihara Expert Systems with Applications 39 (5), 4890–4897, 2012 | 54 | 2012 |
| Discriminative dimensionality reduction for multi-dimensional sequences B Su, X Ding, H Wang, Y Wu IEEE transactions on pattern analysis and machine intelligence 40 (1), 77-91, 2017 | 53 | 2017 |
| Cross-Domain Metric Learning Based on Information Theory H Wang, W Wang, C Zhang, F Xu AAAI, 2014 | 49 | 2014 |
| Idea discovery: A scenario-based systematic approach for decision making in market innovation H Wang, Y Ohsawa Expert Systems with Applications 40 (2), 429–438, 2013 | 44 | 2013 |
Hongzhi YinFuture Fellow and Associate Professor, University of QueenslandVerified email at uq.edu.au
