| Automated relational meta-learning H Yao, Z Tao, Y Li, B Ding, R Li, Z Li arXiv preprint arXiv:2001.00745, 2020 | 132 | 2020 |
| Graph chain-of-thought: Augmenting large language models by reasoning on graphs B Jin, C Xie, J Zhang, KK Roy, Y Zhang, Z Li, R Li, X Tang, S Wang, ... arXiv preprint arXiv:2404.07103, 2024 | 127 | 2024 |
| Fast adaptation for cold-start collaborative filtering with meta-learning T Wei, Z Wu, R Li, Z Hu, F Feng, X He, Y Sun, W Wang 2020 IEEE International Conference on Data Mining (ICDM), 661-670, 2020 | 83 | 2020 |
| Amazon-m2: A multilingual multi-locale shopping session dataset for recommendation and text generation W Jin, H Mao, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ... Advances in Neural Information Processing Systems 36, 8006-8026, 2023 | 73 | 2023 |
| Language models as semantic indexers B Jin, H Zeng, G Wang, X Chen, T Wei, R Li, Z Wang, Z Li, Y Li, H Lu, ... arXiv preprint arXiv:2310.07815, 2023 | 52 | 2023 |
| Click feedback-aware query recommendation using adversarial examples R Li, L Li, Y Zhou, W Wang The World Wide Web Conference, 2978-2984, 2019 | 48 | 2019 |
| Towards unified multi-modal personalization: Large vision-language models for generative recommendation and beyond T Wei, B Jin, R Li, H Zeng, Z Wang, J Sun, Q Yin, H Lu, S Wang, J He, ... arXiv preprint arXiv:2403.10667, 2024 | 45 | 2024 |
| Automatic speaker recognition with limited data R Li, JY Jiang, J Liu, CC Hsieh, W Wang Proceedings of the 13th international conference on web search and data …, 2020 | 45 | 2020 |
| Few-shot learning for new user recommendation in location-based social networks R Li, W Wang Proceedings of The Web Conference 2020, 2472-2478, 2020 | 44 | 2020 |
| Adversarial learning to compare: Self-attentive prospective customer recommendation in location based social networks R Li, W Wang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 41 | 2020 |
| Blendfilter: Advancing retrieval-augmented large language models via query generation blending and knowledge filtering H Wang, R Li, H Jiang, J Tian, Z Wang, C Luo, X Tang, MX Cheng, T Zhao, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 37 | 2024 |
| Roselora: Row and column-wise sparse low-rank adaptation of pre-trained language model for knowledge editing and fine-tuning H Wang, T Liu, R Li, MX Cheng, T Zhao, J Gao Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 35 | 2024 |
| REAFUM: Representative approximate frequent subgraph mining R Li, W Wang Proceedings of the 2015 SIAM International Conference on Data Mining, 757-765, 2015 | 33 | 2015 |
| Inductive or deductive? rethinking the fundamental reasoning abilities of llms K Cheng, J Yang, H Jiang, Z Wang, B Huang, R Li, S Li, Z Li, Y Gao, X Li, ... arXiv preprint arXiv:2408.00114, 2024 | 32 | 2024 |
| DQR: A probabilistic approach to diversified query recommendation R Li, B Kao, B Bi, R Cheng, E Lo Proceedings of the 21st ACM international conference on Information and …, 2012 | 27 | 2012 |
| Bridging mixture density networks with meta-learning for automatic speaker identification R Li, JY Jiang, H Mao, CC Hsieh, W Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
| Speaker identification for household scenarios with self-attention and adversarial training R Li, JY Jiang, CC Hsieh, A Stolcke | 17 | 2020 |
| Iteralign: Iterative constitutional alignment of large language models X Chen, H Wen, S Nag, C Luo, Q Yin, R Li, Z Li, W Wang arXiv preprint arXiv:2403.18341, 2024 | 16 | 2024 |
| CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions R Li, JY Jiang, CJT Ju, W Wang Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 16 | 2019 |
| Fleximer: accurate quantification of RNA-Seq via variable-length k-mers CJT Ju, R Li, Z Wu, JY Jiang, Z Yang, W Wang Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 15 | 2017 |
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
