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Bing-Bing Jiang
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Cited by
Year
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
572017
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
442019
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
352019
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
342019
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
312020
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
302020
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
302018
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
232019
Semisupervised Negative Correlation Learning
H Chen, B Jiang, X Yao
IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5366-5379, 2018
172018
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
152021
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
152020
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
112018
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
52022
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
52021
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
52018
Manifold learning based on sparse Bayesian approach
B CHEN, B JIANG, X ZHOU, H CHEN
ACTA ELECTONICA SINICA 46 (1), 98, 2018
42018
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
22022
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
22022
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
22022
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
22021
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