Local rough set: a solution to rough data analysis in big data Y Qian, X Liang, Q Wang, J Liangb, B Liud, A Skowrone, Y Yaog, J Mah, ... International Journal of Approximate Reasoning 97, 38-63, 2018 | 160 | 2018 |
Local neighborhood rough set Q Wang, Y Qian, X Liang, Q Guo, J Liang Knowledge-Based Systems, 2018 | 139 | 2018 |
Local multigranulation decision-theoretic rough sets Y Qian, X Liang, G Lin, Q Guo, J Liang International Journal of Approximate Reasoning 82, 119-137, 2017 | 136 | 2017 |
Environmental sound classification with dilated convolutions Y Chen, Q Guo, X Liang, J Wang, Y Qian Applied Acoustics 148, 123-132, 2019 | 108 | 2019 |
Deep embedding clustering based on contractive autoencoder B Diallo, J Hu, T Li, GA Khan, X Liang, Y Zhao Neurocomputing 433, 96-107, 2021 | 93 | 2021 |
AF: An association-based fusion method for multi-modal classification X Liang, Y Qian, Q Guo, H Cheng, J Liang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9236 …, 2021 | 53 | 2021 |
Evolutionary deep fusion method and its application in chemical structure recognition X Liang, Q Guo, Y Qian, W Ding, Q Zhang IEEE Transactions on Evolutionary Computation 25 (5), 883-893, 2021 | 28 | 2021 |
Auto-attention mechanism for multi-view deep embedding clustering B Diallo, J Hu, T Li, GA Khan, X Liang, H Wang Pattern Recognition 143, 109764, 2023 | 25 | 2023 |
DC-NAS: Divide-and-conquer neural architecture search for multi-modal classification X Liang, P Fu, Q Guo, K Zheng, Y Qian Association for the Advancement of Artificial Intelligence (AAAI), 2024 | 9 | 2024 |
GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy Q Guo, Y Qian, X Liang International Journal of Approximate Reasoning 143, 78-101, 2022 | 5 | 2022 |
Mining logic patterns from visual data Q Guo, Y Qian, X Liang 2019 International Conference on Data Mining Workshops (ICDMW), 620-627, 2019 | 5 | 2019 |
Deep incomplete multi-view learning network with insufficient label information Z Jiang, T Luo, X Liang Association for the Advancement of Artificial Intelligence (AAAI), 2024 | 4 | 2024 |
Multi-granulation multi-scale relation network for abstract reasoning Q Guo, Y Qian, X Liang, J Chen, H Cheng International Journal of Machine Learning and Cybernetics, 1-12, 2022 | 4 | 2022 |
ESSR: Evolving Sparse Sharing Representation for Multi-task Learning Y Zhang, Y Qian, G Ma, X Liang, G Liu, Q Zhang, K Tang IEEE Transactions on Evolutionary Computation, 2023 | 3 | 2023 |
Logic could be learned from images Q Guo, Y Qian, X Liang, Y She, D Li, J Liang International Journal of Machine Learning and Cybernetics 12 (12), 3397-3414, 2021 | 3 | 2021 |
Feature Subspace Learning-based Binary Differential Evolution Algorithm for Unsupervised Feature Selection T Li, Y Qian, F Li, X Liang, Z Zhan IEEE Transactions on Big Data, 2024 | 2 | 2024 |
Multi-granulation fusion-driven method for many-view classification Xinyan Liang, Yuhua Qian, Qian Guo, Qin Huang Journal of Computer Research and Development 59 (8), 1653-1667, 2022 | 2 | 2022 |
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference C Zhang, Y Fang, X Liang, X Wu, B Jiang Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 1 | 2024 |
AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech Q Liu, X Zhang, X Liang, Y Qian, S Yao IEEE Signal Processing Letters, 2023 | 1 | 2023 |
Image retrieval method based on new space relationship feature Q GUO, H YANG, X LIANG Journal of Computer Applications 36 (7), 1918, 2016 | 1 | 2016 |