Hengshu Zhu 祝恒书
Hengshu Zhu 祝恒书
Head of Career Science Lab (CSL), BOSS Zhipin/Baidu TIC/USTC
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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