| 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 | 54 | 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 | 34 | 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 | 34 | 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 | 33 | 2020 |
| 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 | 27 | 2021 |
| 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 | 27 | 2016 |
| Editing factual knowledge and explanatory ability of medical large language models D Xu, Z Zhang, Z Zhu, Z Lin, Q Liu, X Wu, T Xu, W Wang, Y Ye, X Zhao, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 12 | 2024 |
| 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 | 11 | 2022 |
| Llm4msr: An llm-enhanced paradigm for multi-scenario recommendation Y Wang, Y Wang, Z Fu, X Li, W Wang, Y Ye, X Zhao, H Guo, R Tang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 9 | 2024 |
| LLM-enhanced Reranking in Recommender Systems J Gao, B Chen, X Zhao, W Liu, X Li, Y Wang, Z Zhang, W Wang, Y Ye, ... arXiv preprint arXiv:2406.12433, 2024 | 7 | 2024 |
| 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 | 7 | 2023 |
| Harnessing multimodal large language models for multimodal sequential recommendation Y Ye, Z Zheng, Y Shen, T Wang, H Zhang, P Zhu, R Yu, K Zhang, H Xiong The 39th Annual AAAI Conference on Artificial Intelligence, 2024 | 5 | 2024 |
| University Evaluation through Graduate Employment Prediction: An Influence based Graph Autoencoder Approach Y Ye, H Zhu, T Cui, R Yu, L Zhang, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2024 | 3 | 2024 |
| Tackling uncertain correspondences for multi-modal entity alignment L Chen, Y Sun, S Zhang, Y Ye, W Wu, H Xiong The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 3 | 2024 |
| Scaling New Frontiers: Insights into Large Recommendation Models W Guo, H Wang, L Zhang, JY Chin, Z Liu, K Cheng, Q Pan, YQ Lee, ... arXiv preprint arXiv:2412.00714, 2024 | 2 | 2024 |
| 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 | 1 | 2019 |
| FuXi-: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Y Ye, W Guo, JY Chin, H Wang, H Zhu, X Lin, Y Ye, Y Liu, R Tang, D Lian, ... arXiv preprint arXiv:2502.03036, 2025 | | 2025 |
| TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation J Zhang, M Yin, H Wang, Y Li, Y Ye, X Lou, J Du, E Chen arXiv preprint arXiv:2502.02854, 2025 | | 2025 |
| PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization Y Ye, LA Tang, H Wang, R Yu, W Yu, E He, H Chen, H Xiong Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Runlong YuUniversity of PittsburghE-mailová adresa ověřena na: pitt.edu