| How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems, 2023 | 196* | 2023 |
| Towards open-world recommendation with knowledge augmentation from large language models Y Xi, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 12-22, 2024 | 151 | 2024 |
| Understanding the planning of LLM agents: A survey X Huang, W Liu, X Chen, X Wang, H Wang, D Lian, Y Wang, R Tang, ... arXiv preprint arXiv:2402.02716, 2024 | 101 | 2024 |
| Face liveness detection using a flash against 2D spoofing attack PPK Chan, W Liu, D Chen, DS Yeung, F Zhang, X Wang, CC Hsu IEEE Transactions on Information Forensics and Security 13 (2), 521-534, 2017 | 99 | 2017 |
| Personalized fairness-aware re-ranking for microlending W Liu, J Guo, N Sonboli, R Burke, S Zhang Proceedings of the 13th ACM Conference on Recommender Systems, 467-471, 2019 | 91 | 2019 |
| Alchemy: A quantum chemistry dataset for benchmarking ai models G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ... arXiv preprint arXiv:1906.09427, 2019 | 91 | 2019 |
| Personalizing fairness-aware re-ranking W Liu, R Burke arXiv preprint arXiv:1809.02921, 2018 | 79 | 2018 |
| A Dirichlet process biterm-based mixture model for short text stream clustering J Chen, Z Gong, W Liu Applied Intelligence 50, 1609-1619, 2020 | 66 | 2020 |
| Item relationship graph neural networks for e-commerce W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ... IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021 | 61 | 2021 |
| A nonparametric model for online topic discovery with word embeddings J Chen, Z Gong, W Liu Information Sciences 504, 32-47, 2019 | 60 | 2019 |
| Opportunistic Multi-aspect Fairness through Personalized Re-ranking N Sonboli, F Eskandanian, R Burke, W Liu, B Mobasher Proceedings of the 28th ACM Conference on User Modeling, Adaptation, and …, 2020 | 55 | 2020 |
| Consistency-aware recommendation for user-generated item list continuation Y He, Y Zhang, W Liu, J Caverlee Proceedings of the 13th international conference on web search and data …, 2020 | 51 | 2020 |
| Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning W Liu, F Liu, R Tang, B Liao, G Chen, PA Heng PAKDD 2020, 2021 | 50* | 2021 |
| Neural re-ranking in multi-stage recommender systems: A review W Liu, Y Xi, J Qin, F Sun, B Chen, W Zhang, R Zhang, R Tang IJCAI Survey Track, 2022 | 48 | 2022 |
| A graph-enhanced click model for web search J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 42 | 2021 |
| Causalint: Causal inspired intervention for multi-scenario recommendation Y Wang, H Guo, B Chen, W Liu, Z Liu, Q Zhang, Z He, H Zheng, W Yao, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 40 | 2022 |
| Personalized re-ranking with item relationships for e-commerce W Liu, Q Liu, R Tang, J Chen, X He, PA Heng Proceedings of the 29th ACM International Conference on Information …, 2020 | 39 | 2020 |
| Rankflow: Joint optimization of multi-stage cascade ranking systems as flows J Qin, J Zhu, B Chen, Z Liu, W Liu, R Tang, R Zhang, Y Yu, W Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 38 | 2022 |
| Retrieval & Interaction Machine for Tabular Data Prediction J Qin, W Zhang, R Su, Z Liu, W Liu, R Tang, X He, Y Yu Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 38 | 2021 |
| An adversarial imitation click model for information retrieval X Dai, J Lin, W Zhang, S Li, W Liu, R Tang, X He, J Hao, J Wang, Y Yu Proceedings of the Web Conference 2021, 1809-1820, 2021 | 35 | 2021 |
Ruiming TangHuaweiGeverifieerd e-mailadres voor huawei.com