| Automated relational meta-learning H Yao, X Wu, Z Tao, Y Li, B Ding, R Li, Z Li arXiv preprint arXiv:2001.00745, 2020 | 110 | 2020 |
| 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 | 65 | 2020 |
| Click feedback-aware query recommendation using adversarial examples R Li, L Li, Y Zhou, W Wang The World Wide Web Conference, 2978-2984, 2019 | 42 | 2019 |
| 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 | 38 | 2020 |
| 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 | 37 | 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 | 32 | 2020 |
| REAFUM: representative approximate frequent subgraph mining R Li, W Wang Proceedings of the 2015 SIAM International Conference on Data Mining, 757-765, 2015 | 28 | 2015 |
| 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, 2024 | 27 | 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 | 24 | 2012 |
| 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 |
| 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 | 15 | 2020 |
| 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 | 13 | 2017 |
| 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 | 12 | 2023 |
| Speaker identification for household scenarios with self-attention and adversarial training R Li, JY Jiang, CC Hsieh, A Stolcke | 11 | 2020 |
| Scaling effect of self-supervised speech models J Pu, Y Yang, R Li, O Elibol, J Droppo | 10 | 2021 |
| Contrastive-mixup learning for improved speaker verification X Zhang, M Jin, R Cheng, R Li, E Han, A Stolcke ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| 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 | 5 | 2024 |
| Self-supervised speaker recognition training using human-machine dialogues M Cekic, R Li, Z Chen, Y Yang, A Stolcke, U Madhow ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| TahcoRoll: An Efficient Approach for Signature Profiling in Genomic Data through Variable-Length k-mers CJT Ju, JY Jiang, R Li, Z Li, W Wang bioRxiv, 229708, 2017 | 4 | 2017 |
| LightToken: A task and model-agnostic lightweight token embedding framework for pre-trained language models H Wang, R Li, H Jiang, Z Wang, X Tang, B Bi, M Cheng, B Yin, Y Wang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
