| 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 | 394 | 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 | 324 | 2019 |
| Augmenting data with mixup for sentence classification: An empirical study H Guo, Y Mao, R Zhang arXiv preprint arXiv:1905.08941, 2019 | 227 | 2019 |
| 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 | 121 | 2016 |
| 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 | 97 | 2014 |
| An information gain-based approach for recommending useful product reviews R Zhang, T Tran Knowledge and Information Systems 26, 419-434, 2011 | 93 | 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 | 89 | 2013 |
| 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 | 86 | 2021 |
| 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 | 79 | 2018 |
| 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 | 74 | 2009 |
| 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 |
| Dual contrastive learning: Text classification via label-aware data augmentation Q Chen, R Zhang, Y Zheng, Y Mao arXiv preprint arXiv:2201.08702, 2022 | 62 | 2022 |
| 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 | 58 | 2018 |
| 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 | 52 | 2020 |
| 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 | 52 | 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 | 50 | 2016 |
| Online bursty event detection from microblog J Li, Z Tai, R Zhang, W Yu, L Liu 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014 | 49 | 2014 |
| 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 | 48 | 2022 |
| Replicate, walk, and stop on syntax: an effective neural network model for aspect-level sentiment classification Y Zheng, R Zhang, S Mensah, Y Mao Proceedings of the AAAI conference on artificial intelligence 34 (05), 9685-9692, 2020 | 48 | 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 | 43 | 2022 |
Yongyi MaoProfessor of Electrical Engineering and Computer Science, University of OttawaDirección de correo verificada de eecs.uottawa.ca
