| A survey on text classification: From traditional to deep learning Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu, L He ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-41, 2022 | 410* | 2022 |
| Graph-bert: Only attention is needed for learning graph representations J Zhang, H Zhang, C Xia, L Sun arXiv preprint arXiv:2001.05140, 2020 | 249 | 2020 |
| Zero-shot user intent detection via capsule neural networks C Xia, C Zhang, X Yan, Y Chang, PS Yu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 221 | 2018 |
| User preference-aware fake news detection Y Dou, K Shu, C Xia, PS Yu, L Sun Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 198 | 2021 |
| Mixup-transformer: dynamic data augmentation for nlp tasks L Sun, C Xia, W Yin, T Liang, PS Yu, L He Proceedings of the 28th International Conference on Computational …, 2020 | 130 | 2020 |
| Multi-grained named entity recognition C Xia, C Zhang, T Yang, Y Li, N Du, X Wu, W Fan, F Ma, P Yu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 104 | 2019 |
| BL-MNE: emerging heterogeneous social network embedding through broad learning with aligned autoencoder J Zhang, C Xia, C Zhang, L Cui, Y Fu, SY Philip 2017 IEEE International Conference on Data Mining (ICDM), 605-614, 2017 | 75 | 2017 |
| Few-shot intent detection via contrastive pre-training and fine-tuning J Zhang, T Bui, S Yoon, X Chen, Z Liu, C Xia, QH Tran, W Chang, P Yu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 63 | 2021 |
| Cg-bert: Conditional text generation with bert for generalized few-shot intent detection C Xia, C Zhang, H Nguyen, J Zhang, P Yu arXiv preprint arXiv:2004.01881, 2020 | 45 | 2020 |
| Incremental few-shot text classification with multi-round new classes: Formulation, dataset and system C Xia, W Yin, Y Feng, P Yu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 41 | 2021 |
| Joint embedding of meta-path and meta-graph for heterogeneous information networks L Sun, L He, Z Huang, B Cao, C Xia, X Wei, SY Philip 2018 IEEE international conference on big knowledge (ICBK), 131-138, 2018 | 36 | 2018 |
| Composed variational natural language generation for few-shot intents C Xia, C Xiong, P Yu, R Socher Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 32 | 2020 |
| Cross-lingual covid-19 fake news detection J Du, Y Dou, C Xia, L Cui, J Ma, SY Philip 2021 International Conference on Data Mining Workshops (ICDMW), 859-862, 2021 | 31 | 2021 |
| MZET: Memory augmented zero-shot fine-grained named entity typing T Zhang, C Xia, CT Lu, P Yu Proceedings of the 28th International Conference on Computational …, 2020 | 26 | 2020 |
| Dynamic semantic matching and aggregation network for few-shot intent detection H Nguyen, C Zhang, C Xia, PS Yu Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 25 | 2020 |
| Joint training capsule network for cold start recommendation T Liang, C Xia, Y Yin, PS Yu Proceedings of the 43rd international ACM SIGIR conference on Research and …, 2020 | 25 | 2020 |
| HETFORMER: heterogeneous transformer with sparse attention for long-text extractive summarization Y Liu, JG Zhang, Y Wan, C Xia, L He, PS Yu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 23 | 2021 |
| PDALN: Progressive domain adaptation over a pre-trained model for low-resource cross-domain named entity recognition T Zhang, C Xia, PS Yu, Z Liu, S Zhao Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 22 | 2021 |
| Hierarchical bi-directional self-attention networks for paper review rating recommendation Z Deng, H Peng, C Xia, J Li, L He, PS Yu Proceedings of the 28th International Conference on Computational …, 2020 | 18 | 2020 |
| Pseudo siamese network for few-shot intent generation C Xia, C Xiong, P Yu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 17 | 2021 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
