| A comprehensive survey on transfer learning F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He Proceedings of the IEEE, 2020 | 5065 | 2020 |
| A survey on knowledge graph-based recommender systems Q Guo, F Zhuang, C Qin, H Zhu, X Xie, H Xiong, Q He IEEE Transactions on Knowledge and Data Engineering 34 (8), 3549-3568, 2020 | 839 | 2020 |
| Point-of-interest recommendations: Learning potential check-ins from friends H Li, Y Ge, R Hong, H Zhu Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 318 | 2016 |
| Methods and apparatus for associating interest tags with media items based on social diffusions among users T Xu, H Zhu, CAO Huanhuan, D Liu, J Tian US Patent App. 14/400,943, 2015 | 238 | 2015 |
| A cost-effective recommender system for taxi drivers M Qu, H Zhu, J Liu, G Liu, H Xiong Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 234 | 2014 |
| Mobile app recommendations with security and privacy awareness H Zhu, H Xiong, Y Ge, E Chen Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 222 | 2014 |
| Mining mobile user preferences for personalized context-aware recommendation H Zhu, E Chen, H Xiong, K Yu, H Cao, J Tian ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 58, 2015 | 208 | 2015 |
| Relational graph neural network with hierarchical attention for knowledge graph completion Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He Proceedings of the AAAI conference on artificial intelligence 34 (05), 9612-9619, 2020 | 194 | 2020 |
| Enhancing person-job fit for talent recruitment: An ability-aware neural network approach C Qin, H Zhu, T Xu, C Zhu, L Jiang, E Chen, H Xiong The 41st international ACM SIGIR conference on research & development in …, 2018 | 178 | 2018 |
| Person-job fit: Adapting the right talent for the right job with joint representation learning C Zhu, H Zhu, H Xiong, C Ma, F Xie, P Ding, P Li ACM Transactions on Management Information Systems (TMIS) 9 (3), 1-17, 2018 | 151 | 2018 |
| A survey on large language models for recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... arXiv preprint arXiv:2305.19860, 2023 | 138 | 2023 |
| Discovery of ranking fraud for mobile apps H Zhu, H Xiong, Y Ge, E Chen IEEE Transactions on knowledge and data engineering 27 (1), 74-87, 2014 | 123 | 2014 |
| Interactive attention transfer network for cross-domain sentiment classification K Zhang, H Zhang, Q Liu, H Zhao, H Zhu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5773-5780, 2019 | 103 | 2019 |
| Mobile app classification with enriched contextual information H Zhu, E Chen, H Xiong, H Cao, J Tian IEEE Transactions on mobile computing 13 (7), 1550-1563, 2013 | 102 | 2013 |
| An enhanced neural network approach to person-job fit in talent recruitment C Qin, H Zhu, T Xu, C Zhu, C Ma, E Chen, H Xiong ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 | 94 | 2020 |
| Mining personal context-aware preferences for mobile users H Zhu, E Chen, K Yu, H Cao, H Xiong, J Tian 2012 IEEE 12th International Conference on Data Mining, 1212-1217, 2012 | 89 | 2012 |
| Ranking user authority with relevant knowledge categories for expert finding H Zhu, E Chen, H Xiong, H Cao, J Tian World Wide Web 17 (5), 1081-1107, 2014 | 87 | 2014 |
| Prospecting the career development of talents: A survival analysis perspective H Li, Y Ge, H Zhu, H Xiong, H Zhao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 86 | 2017 |
| Exploiting enriched contextual information for mobile app classification H Zhu, H Cao, E Chen, H Xiong, J Tian Proceedings of the 21st ACM international conference on Information and …, 2012 | 83 | 2012 |
| Measuring the popularity of job skills in recruitment market: A multi-criteria approach T Xu, H Zhu, C Zhu, P Li, H Xiong Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 79 | 2018 |
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUST在 ust.hk 的电子邮件经过验证
