| Novel linguistic steganography based on character-level text generation L Xiang, S Yang, Y Liu, Q Li, C Zhu Mathematics 8 (9), 1558, 2020 | 82 | 2020 |
| CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering Q Zhang, L Cao, C Zhu, Z Li, J Sun IJCAI, 2018 | 76 | 2018 |
| Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF L Zhao, K Li, M Wang, J Yin, E Zhu, C Wu, S Wang, C Zhu Computers in biology and medicine 71, 46-56, 2016 | 73 | 2016 |
| Detecting abnormality without knowing normality: A two-stage approach for unsupervised video abnormal event detection S Wang, Y Zeng, Q Liu, C Zhu, E Zhu, J Yin Proceedings of the 26th ACM international conference on Multimedia, 636-644, 2018 | 47 | 2018 |
| Heterogeneous metric learning of categorical data with hierarchical couplings C Zhu, L Cao, Q Liu, J Yin, V Kumar IEEE Transactions on Knowledge and Data Engineering 30 (7), 1254-1267, 2018 | 45 | 2018 |
| A stock decision support system based on DBNs QL Chengzhang Zhu, Jianping Yin Journal of Computational Information Systems 10 (2), 883-893, 2014 | 45 | 2014 |
| Random Fourier extreme learning machine with ℓ2, 1-norm regularization S Zhou, X Liu, Q Liu, S Wang, C Zhu, J Yin Neurocomputing 174, 143-153, 2016 | 34 | 2016 |
| Unsupervised heterogeneous coupling learning for categorical representation C Zhu, L Cao, J Yin IEEE transactions on pattern analysis and machine intelligence 44 (1), 533-549, 2020 | 33 | 2020 |
| Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach C Zhu, X Liu, Q Liu, Y Ming, J Yin Mathematical Problems in Engineering, 2015 | 24 | 2015 |
| Spam detection in reviews using LSTM-based multi-entity temporal features L Xiang, G Guo, Q Li, C Zhu, J Chen, H Ma Intelligent Automation and Soft Computing, 2020 | 20 | 2020 |
| Unsupervised user behavior representation for fraud review detection with cold-start problem Q Li, Q Wu, C Zhu, J Zhang, W Zhao Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 20 | 2019 |
| MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine Q Liu, S Zhou, C Zhu, X Liu, J Yin Neurocomputing 173, 1044-1053, 2016 | 20 | 2016 |
| 基于深度信念网络的 PM2. 5 预测 郑毅， 朱成璋 山东大学学报 (工学版) 44 (6), 19-25, 2014 | 14 | 2014 |
| Spectral clustering-based local and global structure preservation for feature selection S Zhou, X Liu, C Zhu, Q Liu, J Yin 2014 International Joint Conference on Neural Networks (IJCNN), 550-557, 2014 | 12 | 2014 |
| An inferable representation learning for fraud review detection with cold-start problem Q Li, Q Wu, C Zhu, J Zhang, W Zhao 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 11 | 2019 |
| Mix2vec: Unsupervised mixed data representation C Zhu, Q Zhang, L Cao, A Abrahamyan 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 10 | 2020 |
| Defense against poisoning attack via evaluating training samples using multiple spectral clustering aggregation method W Zhao, P Li, C Zhu, D Liu, X Liu Computers, Materials and Continua, 2019 | 10 | 2019 |
| A highly efficient human activity classification method using mobile data from wearable sensors L Yuan, Q Liu, M Lu, S Zhou, C Zhu, J Yin International Journal of Sensor Networks 25 (2), 86-92, 2017 | 10 | 2017 |
| LWCS: A large-scale web page classification system based on anchor graph hashing Y Zheng, C Sun, C Zhu, X Lan, X Fu, W Han 2015 6th IEEE International Conference on Software Engineering and Service …, 2015 | 10 | 2015 |
| Network embedding-based anomalous density searching for multi-group collaborative fraudsters detection in socialmedia C Zhu, W Zhao, Q Li, P Li, Q Da Computers, Materials and Continua, 2019 | 9 | 2019 |
Qiang LiuNational University of Defense TechnologyVerified email at nudt.edu.cn
