Molecular property prediction: A multilevel quantum interactions modeling perspective C Lu, Q Liu, C Wang, Z Huang, P Lin, L He Proceedings of the AAAI conference on artificial intelligence 33 (01), 1052-1060, 2019 | 182 | 2019 |
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 |
Multiple pairwise ranking with implicit feedback R Yu, Y Zhang, Y Ye, L Wu, C Wang, Q Liu, E Chen Proceedings of the 27th ACM International Conference on Information and …, 2018 | 50 | 2018 |
Confidence-aware matrix factorization for recommender systems C Wang, Q Liu, R Wu, E Chen, C Liu, X Huang, Z Huang Proceedings of the AAAI Conference on artificial intelligence 32 (1), 2018 | 50 | 2018 |
Drug package recommendation via interaction-aware graph induction Z Zheng, C Wang, T Xu, D Shen, P Qin, B Huai, T Liu, E Chen Proceedings of the Web Conference 2021, 1284-1295, 2021 | 48 | 2021 |
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 |
Interaction-aware drug package recommendation via policy gradient Z Zheng, C Wang, T Xu, D Shen, P Qin, X Zhao, B Huai, X Wu, E Chen ACM Transactions on Information Systems 41 (1), 1-32, 2023 | 29 | 2023 |
Topic modeling revisited: A document graph-based neural network perspective D Shen, C Qin, C Wang, Z Dong, H Zhu, H Xiong Advances in neural information processing systems 34, 14681-14693, 2021 | 28 | 2021 |
基于知识图谱的推荐系统研究综述 秦川, 祝恒书, 庄福振, 郭庆宇, 张琦, 张乐, 王超, 陈恩红, 熊辉 中国科学: 信息科学 50 (7), 937-956, 2020 | 24 | 2020 |
Constructing educational concept maps with multiple relationships from multi-source data X Huang, Q Liu, C Wang, H Han, J Ma, E Chen, Y Su, S Wang 2019 IEEE International Conference on Data Mining (ICDM), 1108-1113, 2019 | 24 | 2019 |
Variable interval time sequence modeling for career trajectory prediction: Deep collaborative perspective C Wang, H Zhu, Q Hao, K Xiao, H Xiong Proceedings of the Web Conference 2021, 612-623, 2021 | 21 | 2021 |
Regularizing variational autoencoder with diversity and uncertainty awareness D Shen, C Qin, C Wang, H Zhu, E Chen, H Xiong arXiv preprint arXiv:2110.12381, 2021 | 14 | 2021 |
A trend-aware investment target recommendation system with heterogeneous graph M Chen, C Wang, C Qin, T Xu, J Ma, E Chen, H Xiong 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 12 | 2021 |
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System C Wang, H Zhu, C Zhu, C Qin, E Chen, H Xiong ACM Transactions on Information Systems 42 (2), 1-32, 2023 | 3 | 2023 |
面向大规模认知诊断的 DINA 模型快速计算方法研究 王超, 刘淇, 陈恩红, 黄振亚, 朱天宇, 苏喻, 胡国平 电子学报 46 (5), 1047, 2018 | 2 | 2018 |
Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction S Hao, L Dai, L Zhang, S Zhang, C Wang, C Qin, H Xiong International Conference on Knowledge Science, Engineering and Management …, 2023 | 1 | 2023 |
A survey on knowledge graph-based recommender systems QIN Chuan, ZHU Hengshu, F Zhuang, GUO Qingyu, Q Zhang, L Zhang, ... Scientia sinica informationis 50 (7), 937-956, 2020 | | 2020 |