| Convolutional neural network architectures for matching natural language sentences B Hu, Z Lu, H Li, Q Chen Advances in neural information processing systems 27, 2014 | 1691 | 2014 |
| LCSTS: A Large Scale Chinese Short Text Summarization Dataset B Hu, Q Chen, F Zhu Conference on Empirical Methods in Natural Language Processing 2015 (EMNLP2015), 2015 | 401 | 2015 |
| Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection B Liu, D Zhang, R Xu, J Xu, X Wang, Q Chen, Q Dong, KC Chou Bioinformatics 30 (4), 472-479, 2014 | 299 | 2014 |
| Drug-Drug Interaction Extraction via Convolutional Neural Networks S Liu, B Tang, Q Chen, X Wang Computational and mathematical methods in medicine 2016, 2016 | 290 | 2016 |
| LCQMC: A Large-scale Chinese Question Matching Corpus X Liu, Q Chen, C Deng, H Zeng, J Chen, D Li, B Tang Proceedings of the 27th International Conference on Computational
, 2018 | 248 | 2018 |
| Multilinear sparse principal component analysis Z Lai, Y Xu, Q Chen, J Yang, D Zhang IEEE transactions on neural networks and learning systems 25 (10), 1942-1950, 2014 | 232 | 2014 |
| Entity recognition from clinical texts via recurrent neural network Z Liu, M Yang, X Wang, Q Chen, B Tang, Z Wang, H Xu BMC medical informatics and decision making 17 (2), 67, 2017 | 230 | 2017 |
| Active deep learning method for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Neurocomputing 120, 536-546, 2013 | 215 | 2013 |
| De-identification of clinical notes via recurrent neural network and conditional random field Z Liu, B Tang, X Wang, Q Chen Journal of biomedical informatics 75, S34-S42, 2017 | 210 | 2017 |
| Fuzzy deep belief networks for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Neurocomputing 131, 312-322, 2014 | 205 | 2014 |
| Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification. S Zhou, Q Chen, X Wang, X Li COLING, 1341-1349, 2014 | 205* | 2014 |
| Cblue: A chinese biomedical language understanding evaluation benchmark N Zhang, M Chen, Z Bi, X Liang, L Li, X Shang, K Yin, C Tan, J Xu, ... arXiv preprint arXiv:2106.08087, 2021 | 192 | 2021 |
| Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks B Tang, H Cao, X Wang, Q Chen, H Xu BioMed Research International 2014, 2014 | 171 | 2014 |
| CNN-based ranking for biomedical entity normalization H Li, Q Chen, B Tang, X Wang, H Xu, B Wang, D Huang BMC bioinformatics 18 (11), 385, 2017 | 143 | 2017 |
| The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification J Chen, Q Chen, X Liu, H Yang, D Lu, B Tang Proceedings of the 2018 Conference on Empirical Methods in Natural Language
, 2018 | 141 | 2018 |
| Active deep networks for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Coling 2010: Posters, 1515-1523, 2010 | 139 | 2010 |
| Discriminative deep belief networks for visual data classification Y Liu, S Zhou, Q Chen Pattern Recognition 44 (10-11), 2287-2296, 2011 | 131 | 2011 |
| Using amino acid physicochemical distance transformation for fast protein remote homology detection B Liu, X Wang, Q Chen, Q Dong, X Lan Public Library of Science 7 (9), e46633, 2012 | 126 | 2012 |
| Protein Remote Homology Detection by Combining Chous Pseudo Amino Acid Composition and Profile‐Based Protein Representation B Liu, X Wang, Q Zou, Q Dong, Q Chen Molecular Informatics 32 (9‐10), 775-782, 2013 | 124 | 2013 |
| Using distances between Top-n-gram and residue pairs for protein remote homology detection B Liu, J Xu, Q Zou, R Xu, X Wang, Q Chen BMC bioinformatics 15 (2), 1-10, 2014 | 106 | 2014 |
Buzhou Tang（汤步洲）Jilin University, Harbin Insititute of Technology, Vanderbilt University, University of TexasPatvirtintas el. paštas hit.edu.cn
