| Clustering in extreme learning machine feature space Q He, X Jin, C Du, F Zhuang, Z Shi Neurocomputing 128, 88-95, 2014 | 109 | 2014 |
| Reconstructing perceived images from human brain activities with Bayesian deep multiview learning C Du, C Du, L Huang, H He IEEE transactions on neural networks and learning systems 30 (8), 2310-2323, 2019 | 105 | 2019 |
| A location-sentiment-aware recommender system for both home-town and out-of-town users H Wang, Y Fu, Q Wang, H Yin, C Du, H Xiong Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 90 | 2017 |
| Triplex transfer learning: Exploiting both shared and distinct concepts for text classification F Zhuang, P Luo, C Du, Q He, Z Shi Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 81 | 2013 |
| Sharing deep generative representation for perceived image reconstruction from human brain activity C Du, C Du, H He 2017 international joint conference on neural networks (ijcnn), 1049-1056, 2017 | 74 | 2017 |
| Semi-supervised deep generative modelling of incomplete multi-modality emotional data C Du, C Du, H Wang, J Li, WL Zheng, BL Lu, H He Proceedings of the 26th ACM international conference on Multimedia, 108-116, 2018 | 63 | 2018 |
| A parallel incremental extreme SVM classifier Q He, C Du, Q Wang, F Zhuang, Z Shi Neurocomputing 74 (16), 2532-2540, 2011 | 58 | 2011 |
| Multi-task multi-view learning for heterogeneous tasks X Jin, F Zhuang, H Xiong, C Du, P Luo, Q He Proceedings of the 23rd ACM international conference on conference on …, 2014 | 49 | 2014 |
| Structured neural decoding with multitask transfer learning of deep neural network representations C Du, C Du, L Huang, H Wang, H He IEEE Transactions on Neural Networks and Learning Systems 33 (2), 600-614, 2020 | 31 | 2020 |
| Multi-view adversarially learned inference for cross-domain joint distribution matching C Du, C Du, X Xie, C Zhang, H Wang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 25 | 2018 |
| Multimodal deep generative adversarial models for scalable doubly semi-supervised learning C Du, C Du, H He Information Fusion 68, 118-130, 2021 | 21 | 2021 |
| Stockassistant: a stock ai assistant for reliability modeling of stock comments C Zhang, Y Wang, C Chen, C Du, H Yin, H Wang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 19 | 2018 |
| Heterogeneous multi-task semantic feature learning for classification X Jin, F Zhuang, SJ Pan, C Du, P Luo, Q He Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 18 | 2015 |
| Semi-supervised Bayesian Deep multi-modal emotion recognition C Du, C Du, J Li, W Zheng, B Lu, H He arXiv preprint arXiv:1704.07548, 2017 | 12 | 2017 |
| Conditional Generative Neural Decoding with Structured CNN Feature Prediction C Du, C Du, L Huang, H He AAAI 2020, 2020 | 11 | 2020 |
| Online Bayesian Max-Margin Subspace Multi-View Learning. J He, C Du, F Zhuang, X Yin, Q He, G Long IJCAI, 1555-1561, 2016 | 11 | 2016 |
| Bayesian maximum margin principal component analysis C Du, S Zhe, F Zhuang, Y Qi, Q He, Z Shi Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 11 | 2015 |
| JIT2R: A joint framework for item tagging and tag-based recommendation X Chen, C Du, X He, J Wang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 10 | 2020 |
| Online Bayesian max-margin subspace learning for multi-view classification and regression J He, C Du, F Zhuang, X Yin, Q He, G Long Machine Learning 109, 219-249, 2020 | 9 | 2020 |
| Multi-task semi-supervised semantic feature learning for classification C Du, F Zhuang, Q He, Z Shi 2012 IEEE 12th International Conference on Data Mining, 191-200, 2012 | 8 | 2012 |
Changde DuInstitute of Automation, Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn