Minimum cost attribute reduction in decision-theoretic rough set models X Jia, W Liao, Z Tang, L Shang Information Sciences 219, 151-167, 2013 | 276 | 2013 |
Generalized attribute reduct in rough set theory X Jia, L Shang, B Zhou, Y Yao Knowledge-Based Systems 91, 204-218, 2016 | 203 | 2016 |
Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning Z Zheng, W Ren, X Cao, X Hu, T Wang, F Song, X Jia CVPR, 16185-16194, 2021 | 172 | 2021 |
On an optimization representation of decision-theoretic rough set model X Jia, Z Tang, W Liao, L Shang International Journal of Approximate Reasoning 55 (1), 156-166, 2014 | 164 | 2014 |
Neighborhood based decision-theoretic rough set models W Li, Z Huang, X Jia, X Cai International Journal of Approximate Reasoning 69, 1-17, 2016 | 116 | 2016 |
Facial emotion distribution learning by exploiting low-rank label correlations locally X Jia, X Zheng, W Li, C Zhang, Z Li CVPR, 9841-9850, 2019 | 94 | 2019 |
Label Distribution Learning by Exploiting Label Correlations X Jia, W Li, J Liu, Y Zhang AAAI Conference on Artificial Intelligence, 3310-3317, 2018 | 79 | 2018 |
Three-way decisions based feature fusion for Chinese irony detection X Jia, Z Deng, F Min, D Liu International Journal of Approximate Reasoning 113, 324-335, 2019 | 74 | 2019 |
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model X Jia, W Li, L Shang Information Sciences 485, 248-262, 2019 | 73 | 2019 |
Three-way decisions solution to filter spam email: an empirical study X Jia, K Zheng, W Li, T Liu, L Shang Rough Sets and Current Trends in Computing: 8th International Conference …, 2012 | 73 | 2012 |
Multi-objective attribute reduction in three-way decision-theoretic rough set model W Li, X Jia, L Wang, B Zhou International Journal of Approximate Reasoning 105, 327-341, 2019 | 72 | 2019 |
Label distribution learning with label-specific features T Ren, X Jia, W Li, L Chen, Z Li IJCAI, 3318-3324, 2019 | 69 | 2019 |
Label distribution learning with label correlations on local samples X Jia, Z Li, X Zheng, W Li, SJ Huang. IEEE Transactions on Knowledge and Data Engineering 33 (4), 1619-1631, 2021 | 66 | 2021 |
Label Distribution Learning by Exploiting Sample Correlations Locally X Zheng, X Jia, W Li AAAI Conference on Artificial Intelligence, 4556-4563, 2018 | 58 | 2018 |
Similarity-based attribute reduction in rough set theory: a clustering perspective X Jia, Y Rao, L Shang, T Li International Journal of Machine Learning and Cybernetics 11, 1047–1060, 2020 | 56 | 2020 |
Label distribution learning with label correlations via low-rank approximation T Ren, X Jia, W Li, S Zhao IJCAI, 3325-3331, 2019 | 56 | 2019 |
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-modal Retrieval H Li, C Zhang, X Jia, Y Gao, C Chen IEEE Transactions on Knowledge and Data Engineering 35 (2), 1185-1199, 2023 | 53 | 2023 |
Effort-aware semi-supervised just-in-time defect prediction W Li, W Zhang, X Jia, Z Huang Information and Software Technology 126, 106364, 2020 | 47 | 2020 |
一种自适应求三枝决策中决策阈值的算法 贾修一, 李伟, 商琳, 陈家骏 电子学报 39 (11), 2520-2525, 2011 | 47* | 2011 |
An optimization viewpoint of decision-theoretic rough set model X Jia, W Li, L Shang, J Chen Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011 …, 2011 | 47 | 2011 |