| 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 | 844 | 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 | 179 | 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 | 144 | 2023 |
| Xiaoice band: A melody and arrangement generation framework for pop music H Zhu, Q Liu, NJ Yuan, C Qin, J Li, K Zhang, G Zhou, F Wei, Y Xu, E Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 97 | 2018 |
| 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 | 95 | 2020 |
| 基于知识图谱的推荐系统研究综述[A survey on knowledge graph-based recommender systems] C Qin, H Zhu, F Zhuang, Q Guo, Q Zhang, L Zhang, C Wang, E Chen, ... SCIENTIA SINICA Informationis 50 (7), 937-956, 2020 | 65* | 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 | 56 | 2019 |
| 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 | 45 | 2020 |
| How images inspire poems: Generating classical Chinese poetry from images with memory networks L Xu, L Jiang, C Qin, Z Wang, D Du Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 45 | 2018 |
| Adam revisited: A weighted past gradients perspective H Zhong, Z Chen, C Qin, Z Huang, VW Zheng, T Xu, E Chen Frontiers of Computer Science 14, 1-16, 2020 | 39 | 2020 |
| Large-scale talent flow embedding for company competitive analysis L Zhang, T Xu, H Zhu, C Qin, Q Meng, H Xiong, E Chen Proceedings of The Web Conference 2020, 2354-2364, 2020 | 37 | 2020 |
| Exploiting topic-based adversarial neural network for cross-domain keyphrase extraction Y Wang, Q Liu, C Qin, T Xu, Y Wang, E Chen, H Xiong 2018 IEEE International Conference on Data Mining (ICDM), 597-606, 2018 | 32 | 2018 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective D Shen, C Qin, C Wang, Z Dong, H Zhu, H Xiong Thirty-Fifth Conference on Neural Information Processing Systems(NeurlPS), 2021 | 28 | 2021 |
| 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 |
| A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics C Qin, Z Le, Y Cheng, R Zha, D Shen, Q Zhang, X Chen, Y Sun, C Zhu, ... arXiv preprint arXiv:2307.03195, 2023 | 21 | 2023 |
| Knowledge Enhanced Person-Job Fit for Talent Recruitment K Yao, J Zhang, C Qin, P Wang, H Zhu, H Xiong IEEE International Conference on Data Engineering 2022, 2022 | 19 | 2022 |
| Towards Automatic Job Description Generation with Capability-Aware Neural Networks C Qin, K Yao, H Zhu, T Xu, D Shen, E Chen, H Xiong IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022 | 19 | 2022 |
| Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network L Dai, Y Yin, C Qin, T Xu, X He, E Chen, H Xiong Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 18 | 2020 |
| RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment C Fang, C Qin, Q Zhang, K Yao, J Zhang, H Zhu, F Zhuang, H Xiong In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge …, 2023 | 16 | 2023 |
| Joint Representation Learning with Relation-enhanced Topic Models for Intelligent Job Interview Assessment D Shen, C Qin, H Zhu, T Xu, E Chen, H Xiong ACM Transactions on Information Systems (ACM TOIS) , 2021 | 15 | 2021 |
Hengshu Zhu 祝恒书Career Science Lab, BOSS Zhipin/Adjunct Professor, HKUST(GZ)/Baidu TIC在 kanzhun.com 的电子邮件经过验证
