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 | 177 | 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 | 130 | 2023 |
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 |
Recommendations Based on Collaborative Filtering by Exploiting Sequential Behaviors SUN Guang-Fu, WU Le, LIU Qi, ZHU Chen, C En-Hong Journal of Software 24 (11), 2721-2733, 2013 | 89* | 2013 |
Measuring the popularity of job skills in recruitment market: A multi-criteria approach T Xu, H Zhu, C Zhu, P Li, H Xiong Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 78 | 2018 |
Recruitment market trend analysis with sequential latent variable models C Zhu, H Zhu, H Xiong, P Ding, F Xie Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 63 | 2016 |
Real estate ranking via mixed land-use latent models Y Fu, G Liu, S Papadimitriou, H Xiong, Y Ge, H Zhu, C Zhu Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 62 | 2015 |
Personalized employee training course recommendation with career development awareness C Wang, H Zhu, C Zhu, X Zhang, E Chen, H Xiong Proceedings of the Web Conference 2020, 1648-1659, 2020 | 61 | 2020 |
DuerQuiz: A personalized question recommender system for intelligent job interview C Qin, H Zhu, C Zhu, T Xu, F Zhuang, C Ma, J Zhang, H Xiong Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 55 | 2019 |
A joint learning approach to intelligent job interview assessment. D Shen, H Zhu, C Zhu, T Xu, C Ma, H Xiong IJCAI 18, 3542-3548, 2018 | 47 | 2018 |
Collaborative company profiling: Insights from an employee's perspective H Lin, H Zhu, Y Zuo, C Zhu, J Wu, H Xiong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 46 | 2017 |
Setrank: A setwise bayesian approach for collaborative ranking from implicit feedback C Wang, H Zhu, C Zhu, C Qin, H Xiong Proceedings of the aaai conference on artificial intelligence 34 (04), 6127-6136, 2020 | 42 | 2020 |
Personalized and explainable employee training course recommendations: A bayesian variational approach C Wang, H Zhu, P Wang, C Zhu, X Zhang, E Chen, H Xiong ACM Transactions on Information Systems (TOIS) 40 (4), 1-32, 2021 | 34 | 2021 |
Exploiting the contagious effect for employee turnover prediction M Teng, H Zhu, C Liu, C Zhu, H Xiong Proceedings of the AAAI conference on artificial intelligence 33 (01), 1166-1173, 2019 | 30 | 2019 |
Tracking the evolution of social emotions: A time-aware topic modeling perspective C Zhu, H Zhu, Y Ge, E Chen, Q Liu 2014 IEEE International Conference on Data Mining, 697-706, 2014 | 29 | 2014 |
Large-scale talent flow forecast with dynamic latent factor model? L Zhang, H Zhu, T Xu, C Zhu, C Qin, H Xiong, E Chen The world wide web conference, 2312-2322, 2019 | 26 | 2019 |
Tracking the evolution of social emotions with topic models C Zhu, H Zhu, Y Ge, E Chen, Q Liu, T Xu, H Xiong Knowledge and Information Systems 47, 517-544, 2016 | 22 | 2016 |
A comprehensive survey of artificial intelligence techniques for talent analytics C Qin, L Zhang, R Zha, D Shen, Q Zhang, Y Sun, C Zhu, H Zhu, H Xiong arXiv preprint arXiv:2307.03195, 2023 | 18 | 2023 |
Enhancing employer brand evaluation with collaborative topic regression models H Lin, H Zhu, J Wu, Y Zuo, C Zhu, H Xiong ACM Transactions on Information Systems (TOIS) 38 (4), 1-33, 2020 | 17 | 2020 |