| Shikra: Unleashing multimodal llm's referential dialogue magic K Chen, Z Zhang, W Zeng, R Zhang, F Zhu, R Zhao arXiv preprint arXiv:2306.15195, 2023 | 530 | 2023 |
| Aspect-level sentiment analysis via convolution over dependency tree K Sun, R Zhang, S Mensah, Y Mao, X Liu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 479 | 2019 |
| Mixup as locally linear out-of-manifold regularization H Guo, Y Mao, R Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 3714-3722, 2019 | 375 | 2019 |
| Augmenting data with mixup for sentence classification: An empirical study H Guo, Y Mao, R Zhang arXiv preprint arXiv:1905.08941, 2019 | 282 | 2019 |
| Llamafactory: Unified efficient fine-tuning of 100+ language models Y Zheng, R Zhang, J Zhang, Y Ye, Z Luo, Z Feng, Y Ma arXiv preprint arXiv:2403.13372, 2024 | 256 | 2024 |
| On the representation and embedding of knowledge bases beyond binary relations J Wen, J Li, Y Mao, S Chen, R Zhang arXiv preprint arXiv:1604.08642, 2016 | 151 | 2016 |
| Regularizing neural networks via adversarial model perturbation Y Zheng, R Zhang, Y Mao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 107 | 2021 |
| A novel approach for API recommendation in mashup development C Li, R Zhang, J Huai, H Sun 2014 IEEE International Conference on Web Services, 289-296, 2014 | 105 | 2014 |
| Scalable instance reconstruction in knowledge bases via relatedness affiliated embedding R Zhang, J Li, J Mei, Y Mao Proceedings of the 2018 world wide web conference, 1185-1194, 2018 | 103 | 2018 |
| Dual contrastive learning: Text classification via label-aware data augmentation Q Chen, R Zhang, Y Zheng, Y Mao arXiv preprint arXiv:2201.08702, 2022 | 99 | 2022 |
| An information gain-based approach for recommending useful product reviews R Zhang, T Tran Knowledge and Information Systems 26, 419-434, 2011 | 98 | 2011 |
| A probabilistic approach for web service discovery C Li, R Zhang, J Huai, X Guo, H Sun 2013 ieee international conference on services computing, 49-56, 2013 | 92 | 2013 |
| Contrastnet: A contrastive learning framework for few-shot text classification J Chen, R Zhang, Y Mao, J Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10492 …, 2022 | 91 | 2022 |
| Helping e-commerce consumers make good purchase decisions: a user reviews-based approach R Zhang, TT Tran E-Technologies: Innovation in an Open World: 4th International Conference …, 2009 | 78 | 2009 |
| Syntax encoding with application in authorship attribution R Zhang, Z Hu, H Guo, Y Mao Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 70 | 2018 |
| A web service recommendation approach based on QoS prediction using fuzzy clustering M Zhang, X Liu, R Zhang, H Sun 2012 IEEE ninth international conference on services computing, 138-145, 2012 | 68 | 2012 |
| Relation extraction with convolutional network over learnable syntax-transport graph K Sun, R Zhang, Y Mao, S Mensah, X Liu Proceedings of the AAAI conference on artificial intelligence 34 (05), 8928-8935, 2020 | 64 | 2020 |
| Unsupervised sentence representation via contrastive learning with mixing negatives Y Zhang, R Zhang, S Mensah, X Liu, Y Mao Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11730 …, 2022 | 62 | 2022 |
| Ring: Real-time emerging anomaly monitoring system over text streams W Yu, J Li, MZA Bhuiyan, R Zhang, J Huai IEEE Transactions on Big Data 5 (4), 506-519, 2017 | 62 | 2017 |
| iGraph: an incremental data processing system for dynamic graph W Ju, J Li, W Yu, R Zhang Frontiers of Computer Science 10, 462-476, 2016 | 55 | 2016 |
Yongyi MaoProfessor of Electrical Engineering and Computer Science, University of Ottawa在 eecs.uottawa.ca 的电子邮件经过验证