| 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 | 282 | 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 | 213 | 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 | 190 | 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 | 127 | 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 | 79 | 2019 |
| 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 | 70 | 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 | 65 | 2020 |
| 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 | 56 | 2020 |
| 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 | 50 | 2016 |
| 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 | 39 | 2020 |
| 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 | 33 | 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 | 33 | 2016 |
| Multi-Task Pharmacovigilance Mining from Social Media Posts S Chowdhury, C Zhang, PS Yu The Web Conference 2018, 2018 | 30 | 2018 |
| 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 | 30 | 2014 |
| 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 | 29 | 2021 |
| 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 | 27 | 2020 |
| 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 | 25 | 2017 |
| 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 | 24 | 2016 |
| CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks J Zhu, J Zhang, C Zhang, Q Wu, Y Jia, B Zhou, SY Philip IEEE Access 5, 15283-15299, 2017 | 22 | 2017 |
| On the generative discovery of structured medical knowledge C Zhang, Y Li, N Du, W Fan, PS Yu Proceedings of the 24th ACM SIGKDD international conference on Knowledge …, 2018 | 20 | 2018 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoE-mailová adresa ověřena na: cs.uic.edu
