| 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 | 78 | 2019 |
| ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting Y Fang, B Luo, T Zhao, D He, B Jiang, Q Liu CAAI Transactions on Intelligence Technology 7 (4), 744-757, 2022 | 77 | 2022 |
| 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 | 71 | 2020 |
| 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 | 65 | 2017 |
| 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 | 51 | 2020 |
| 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 | 48 | 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 | 46 | 2019 |
| 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 | 41 | 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 | 31 | 2019 |
| 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 35 (3), 3615--3629, 2024 | 30 | 2024 |
| 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 | 27 | 2021 |
| Adaptive collaborative fusion for multi-view semi-supervised classification B Jiang, C Zhang, Y Zhong, Y Liu, Y Zhang, X Wu, W Sheng Information Fusion 96, 37-50, 2023 | 23 | 2023 |
| 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 | 23 | 2022 |
| 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 | 23 | 2020 |
| Semisupervised Negative Correlation Learning H Chen, B Jiang, X Yao IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5366-5379, 2018 | 23 | 2018 |
| 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 45 (4), 4964-4980, 2023 | 18 | 2023 |
| Feature selection in the data stream based on incremental markov boundary learning X Wu, B Jiang, X Wang, T Ban, H Chen IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6740-6754, 2023 | 18 | 2023 |
| 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 | 16 | 2022 |
| 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 | 16 | 2018 |
| Efficient multi-view semi-supervised feature selection C Zhang, B Jiang, Z Wang, J Yang, Y Lu, X Wu, W Sheng Information Sciences 649, 119675, 2023 | 13 | 2023 |
Huanhuan ChenUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
