| 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 | 68 | 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 | 48 | 2020 |
| Joint semi-supervised feature selection and classification through Bayesian approach B Jiang, X Wu, K Yu, H Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 3983-3990, 2019 | 45 | 2019 |
| Dynamic pricing on e-commerce platform with deep reinforcement learning: A field experiment J Liu, Y Zhang, X Wang, Y Deng, X Wu arXiv preprint arXiv:1912.02572, 2019 | 33 | 2019 |
| 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 | 25 | 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 | 21 | 2020 |
| Auxiliary learning for relation extraction S Lyu, J Cheng, X Wu, L Cui, H Chen, C Miao IEEE Transactions on Emerging Topics in Computational Intelligence 6 (1 …, 2020 | 20 | 2020 |
| 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 | 19 | 2022 |
| Multilabel feature selection: a local causal structure learning approach K Yu, M Cai, X Wu, L Liu, J Li IEEE Transactions on Neural Networks and Learning Systems 34 (6), 3044-3057, 2021 | 19 | 2021 |
| Temporal knowledge graph embedding via sparse transfer matrix X Wang, S Lyu, X Wang, X Wu, H Chen Information Sciences 623, 56-69, 2023 | 15 | 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 | 15 | 2022 |
| 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 | 15 | 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 45 (4), 4964-4980, 2022 | 13 | 2022 |
| Accurate label refinement from multiannotator of remote sensing data X Wang, L Chen, T Ban, D Lyu, Y Guan, X Wu, X Zhou, H Chen IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 12 | 2023 |
| Generalization bounds for estimating causal effects of continuous treatments X Wang, S Lyu, X Wu, T Wu, H Chen Advances in Neural Information Processing Systems 35, 8605-8617, 2022 | 12 | 2022 |
| Quality evaluation of triples in knowledge graph by incorporating internal with external consistency T Ban, X Wang, L Chen, X Wu, Q Chen, H Chen IEEE Transactions on Neural Networks and Learning Systems, 2022 | 12 | 2022 |
| Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap X Wu, S Wu, J Wu, L Feng, KC Tan arXiv preprint arXiv:2401.10034, 2024 | 11 | 2024 |
| 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 | 11 | 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, 2023 | 11 | 2023 |
| 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 | 10 | 2021 |
