| 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 | 426 | 2018 |
| Joint Slot Filling and Intent Detection via Capsule Neural Networks C Zhang, Y Li, N Du, W Fan, PS Yu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2018 | 290 | 2018 |
| 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 | 240 | 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 | 154 | 2017 |
| 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 | 115 | 2019 |
| SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction X Hu, C Zhang, Y Xu, L Wen, PS Yu Proceedings of the 2020 Conference on Empirical Methods in Natural Language, 2020 | 95 | 2020 |
| 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 | 87 | 2020 |
| 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 | 77 | 2020 |
| BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder J Zhang, C Xia, C Zhang, L Cui, Y Fu, PS Yu Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017 | 75 | 2017 |
| Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction X Hu, C Zhang, Y Yang, X Li, L Lin, L Wen, PS Yu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 61 | 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 | 54 | 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 | 47 | 2020 |
| 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 | 42 | 2020 |
| Multi-Task Pharmacovigilance Mining from Social Media Posts S Chowdhury, C Zhang, PS Yu The Web Conference 2018, 2018 | 42 | 2018 |
| 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 | 40 | 2016 |
| HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction S Liu, X Hu, C Zhang, S Li, L Wen, PS Yu The 2022 Conference of the North American Chapter of the Association for …, 2022 | 36 | 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 |
| Broad Learning based Multi-Source Collaborative Recommendation J Zhu, J Zhang, L He, Q Wu, B Zhou, C Zhang, PS Yu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 30 | 2017 |
| Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection H Nguyen, C Zhang, C Xia, PS Yu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 28 | 2020 |
| Augmented LSTM framework to construct medical self-diagnosis android C Liu, H Sun, N Du, S Tan, H Fei, W Fan, T Yang, H Wu, Y Li, C Zhang 2016 IEEE 16th International Conference on Data Mining (ICDM), 251-260, 2016 | 28 | 2016 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
