| Modeling the sequential dependence among audience multi-step conversions with multi-task learning in targeted display advertising D Xi, Z Chen, P Yan, Y Zhang, Y Zhu, F Zhuang, Y Chen Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 102 | 2021 |
| E-commerce item recommendation based on field-aware factorization machine P Yan, X Zhou, Y Duan Proceedings of the 2015 international ACM recommender systems challenge, 1-4, 2015 | 26 | 2015 |
| Practical counterfactual policy learning for top-k recommendations Y Liu, JN Yen, B Yuan, R Shi, P Yan, CJ Lin Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 15 | 2022 |
| Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach X Chen, S Bai, Y Wei, Y Zhao, P Yan, H Jiang Transportation Research Part E: Logistics and Transportation Review 171, 103018, 2023 | 7 | 2023 |
| Gbdt and bert: a hybrid solution for recognizing citation intent Z Wang, R Shi, S Li, P Yan Studies 55, 12c2a39230188, 2020 | 7 | 2020 |
| Session-based item recommendation with pairwise features Z Wang, Y Gao, H Chen, P Yan Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019 | 6 | 2019 |
| Calibrating the Confidence of Large Language Models by Eliciting Fidelity M Zhang, M Huang, R Shi, L Guo, C Peng, P Yan, Y Zhou, X Qiu arXiv preprint arXiv:2404.02655, 2024 | 4 | 2024 |
| Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction T Xue, Z Lin, Z Zhang, L Guo, H Chen, M Bao, P Yan Proceedings of the Recommender Systems Challenge 2024, 53-57, 2024 | 1 | 2024 |
| Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework D Xi, Z Chen, Y Wang, H Cui, C Peng, F Zhuang, P Yan arXiv preprint arXiv:2404.08361, 2024 | 1 | 2024 |
| Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs X Zhang, X Wang, Y Lu, Z Ye, J Wang, M Bao, P Yan, X Su arXiv preprint arXiv:2410.15135, 2024 | | 2024 |
| Personalized Image Generation with Large Multimodal Models Y Xu, W Wang, Y Zhang, T Biao, P Yan, F Feng, X He arXiv preprint arXiv:2410.14170, 2024 | | 2024 |
| Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization J Wang, Y Zhou, X Zhang, M Bao, P Yan arXiv preprint arXiv:2409.11212, 2024 | | 2024 |
| Enhancing Name Disambiguation via Iterative Self-Refining with LLMs X Zhang, Y Zhou, H Chen, M Bao, P Yan KDD 2024 OAG-Challenge Cup, 2024 | | 2024 |
| LLM-Based Iterative Hard Example Mining with Boosting for Academic Question Answering Y Zhou, H Chen, X Zhang, M Bao, P Yan KDD 2024 OAG-Challenge Cup, 2024 | | 2024 |
| Grafting Learning Is All You Need H Chen, X Zhang, Y Zhou, M Bao, P Yan KDD 2024 OAG-Challenge Cup, 2024 | | 2024 |