| Direction-of-arrival estimation based on deep neural networks with robustness to array imperfections ZM Liu, C Zhang, SY Philip IEEE Transactions on Antennas and Propagation 66 (12), 7315-7327, 2018 | 401 | 2018 |
| Joint slot filling and intent detection via capsule neural networks C Zhang, Y Li, N Du, W Fan, PS Yu arXiv preprint arXiv:1812.09471, 2018 | 275 | 2018 |
| Zero-shot user intent detection via capsule neural networks C Xia, C Zhang, X Yan, Y Chang, PS Yu arXiv preprint arXiv:1809.00385, 2018 | 224 | 2018 |
| Understanding scientific collaboration: Homophily, transitivity, and preferential attachment C Zhang, Y Bu, Y Ding, J Xu Journal of the Association for Information Science and Technology 69 (1), 72-86, 2018 | 150 | 2018 |
| Deepmood: modeling mobile phone typing dynamics for mood detection B Cao, L Zheng, C Zhang, PS Yu, A Piscitello, J Zulueta, O Ajilore, K Ryan, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 147 | 2017 |
| Multi-grained named entity recognition C Xia, C Zhang, T Yang, Y Li, N Du, X Wu, W Fan, F Ma, P Yu arXiv preprint arXiv:1906.08449, 2019 | 106 | 2019 |
| SelfORE: Self-supervised relational feature learning for open relation extraction X Hu, C Zhang, Y Xu, L Wen, PS Yu arXiv preprint arXiv:2004.02438, 2020 | 90 | 2020 |
| Standing on the shoulders of giants T Amjad, Y Ding, J Xu, C Zhang, A Daud, J Tang, M Song Journal of Informetrics 11 (1), 307-323, 2017 | 86 | 2017 |
| Autoknow: Self-driving knowledge collection for products of thousands of types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 83 | 2020 |
| Multimodal sentiment analysis based on fusion methods: A survey L Zhu, Z Zhu, C Zhang, Y Xu, X Kong Information Fusion 95, 306-325, 2023 | 80 | 2023 |
| 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 | 74 | 2017 |
| Semi-supervised relation extraction via incremental meta self-training X Hu, C Zhang, F Ma, C Liu, L Wen, PS Yu arXiv preprint arXiv:2010.16410, 2020 | 71 | 2020 |
| Gradient imitation reinforcement learning for low resource relation extraction X Hu, C Zhang, Y Yang, X Li, L Lin, L Wen, PS Yu arXiv preprint arXiv:2109.06415, 2021 | 56 | 2021 |
| Mining user intentions from medical queries: A neural network based heterogeneous jointly modeling approach C Zhang, W Fan, N Du, PS Yu Proceedings of the 25th International Conference on World wide web, 1373-1384, 2016 | 53 | 2016 |
| 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 | 46 | 2020 |
| Multi-task pharmacovigilance mining from social media posts S Chowdhury, C Zhang, PS Yu Proceedings of the 2018 World Wide Web Conference, 117-126, 2018 | 39 | 2018 |
| Octet: Online catalog taxonomy enrichment with self-supervision Y Mao, T Zhao, A Kan, C Zhang, XL Dong, C Faloutsos, J Han Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 37 | 2020 |
| Extracting medical knowledge from crowdsourced question answering website Y Li, C Liu, N Du, W Fan, Q Li, J Gao, C Zhang, H Wu IEEE Transactions on Big Data 6 (2), 309-321, 2016 | 37 | 2016 |
| Hiure: Hierarchical exemplar contrastive learning for unsupervised relation extraction X Hu, S Liu, C Zhang, S Li, L Wen, PS Yu arXiv preprint arXiv:2205.02225, 2022 | 33 | 2022 |
| A new method to determine basic probability assignment using core samples C Zhang, Y Hu, FTS Chan, R Sadiq, Y Deng Knowledge-based systems 69, 140-149, 2014 | 31 | 2014 |
