| 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 |
| Identifying high potential talent: A neural network based dynamic social profiling approach Y Ye, H Zhu, T Xu, F Zhuang, R Yu, H Xiong 2019 IEEE International Conference on Data Mining (ICDM), 718-727, 2019 | 32 | 2019 |
| Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. Q Liu, H Wu, Y Ye, H Zhao, C Liu, D Du IJCAI, 5052-5059, 2018 | 30 | 2018 |
| Collaborative list-and-pairwise filtering from implicit feedback R Yu, Q Liu, Y Ye, M Cheng, E Chen, J Ma IEEE Transactions on Knowledge and Data Engineering 34 (6), 2667-2680, 2020 | 29 | 2020 |
| Mutual reinforcement of academic performance prediction and library book recommendation D Lian, Y Ye, W Zhu, Q Liu, X Xie, H Xiong 2016 IEEE 16th international conference on data mining (ICDM), 1023-1028, 2016 | 26 | 2016 |
| Xcrossnet: Feature structure-oriented learning for click-through rate prediction R Yu, Y Ye, Q Liu, Z Wang, C Yang, Y Hu, E Chen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 436-447, 2021 | 18 | 2021 |
| MANE: Organizational network embedding with multiplex attentive neural networks Y Ye, Z Dong, H Zhu, T Xu, X Song, R Yu, H Xiong IEEE Transactions on Knowledge and Data Engineering 35 (4), 4047-4061, 2022 | 3 | 2022 |
| Long-term Joint Scheduling for Urban Traffic X Liang, L Wu, J Chen, Y Liu, R Yu, M Hou, H Wu, Y Ye, Q Liu, E Chen arXiv preprint arXiv:1910.12283, 2019 | 2 | 2019 |
| Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction R Yu, X Xu, Y Ye, Q Liu, E Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
Runlong YuUniversity of Pittsburgh/USTCZweryfikowany adres z pitt.edu
