| Scalable graph-based semi-supervised learning through sparse bayesian model B Jiang, H Chen, B Yuan, X Yao IEEE Transactions on Knowledge and Data Engineering 29 (12), 2758-2771, 2017 | 57 | 2017 |
| Accurate Markov boundary discovery for causal feature selection X Wu, B Jiang, K Yu, H Chen IEEE transactions on cybernetics 50 (12), 4983-4996, 2019 | 44 | 2019 |
| Joint Semi-supervised Feature Selection and Classification through Bayesian Approach B Jiang, X Wu, K Yu, H Chen The Thirty-Third AAAI Conference on Artificial Intelligence, 3983-3990, 2019 | 35 | 2019 |
| Probabilistic feature selection and classification vector machine B Jiang, C Li, MD Rijke, X Yao, H Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-27, 2019 | 34 | 2019 |
| Multi-label causal feature selection X Wu, B Jiang, K Yu, H Chen, C Miao Proceedings of the AAAI conference on artificial intelligence 34 (04), 6430-6437, 2020 | 31 | 2020 |
| Multiple Kernel k-Means Clustering by Selecting Representative Kernels Y Yao, Y Li, B Jiang, H Chen IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4983-4996, 2020 | 30 | 2020 |
| Latent Topic Text Representation Learning on Statistical Manifolds B Jiang, Z Li, H Chen, AG Cohn IEEE transactions on neural networks and learning systems 29 (11), 5643-5654, 2018 | 30 | 2018 |
| Multiclass probabilistic classification vector machine S Lyu, X Tian, Y Li, B Jiang, H Chen IEEE Transactions on Neural Networks and Learning Systems 31 (10), 3906-3919, 2019 | 23 | 2019 |
| Semisupervised Negative Correlation Learning H Chen, B Jiang, X Yao IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5366-5379, 2018 | 17 | 2018 |
| Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition X Wu, B Jiang, K Yu, H Chen Information Sciences 571, 262-278, 2021 | 15 | 2021 |
| Tolerant markov boundary discovery for feature selection X Wu, B Jiang, Y Zhong, H Chen Proceedings of the 29th ACM International Conference on Information …, 2020 | 15 | 2020 |
| Symbolic sequence classification in the fractal space Y Li, B Jiang, H Chen, X Yao IEEE Transactions on Emerging Topics in Computational Intelligence 5 (2 …, 2018 | 11 | 2018 |
| Domain knowledge-enhanced variable selection for biomedical data analysis X Wu, Z Tao, B Jiang, T Wu, X Wang, H Chen Information Sciences 606, 469-488, 2022 | 5 | 2022 |
| Robust adaptive-weighting multi-view classification B Jiang, J Xiang, X Wu, W He, L Hong, W Sheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 5 | 2021 |
| Risk factor analysis of bone mineral density based on feature selection in type 2 diabetes W Wang, B Jiang, S Ye, L Qian 2018 IEEE International Conference on Big Knowledge (ICBK), 221-226, 2018 | 5 | 2018 |
| Manifold learning based on sparse Bayesian approach B CHEN, B JIANG, X ZHOU, H CHEN ACTA ELECTONICA SINICA 46 (1), 98, 2018 | 4 | 2018 |
| Robust multi-view learning via adaptive regression B Jiang, J Xiang, X Wu, Y Wang, H Chen, W Cao, W Sheng Information Sciences 610, 916-937, 2022 | 2 | 2022 |
| Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application X Wu, B Jiang, Y Zhong, H Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 2 | 2022 |
| Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning B Jiang, X Wu, X Zhou, Y Liu, AG Cohn, W Sheng, H Chen IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| Multi-label local-to-global feature selection Y Zhong, X Wu, B Jiang, H Chen 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
Xingyu WuUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
