| Minimum cost attribute reduction in decision-theoretic rough set models X Jia, W Liao, Z Tang, L Shang Information Sciences 219, 151-167, 2013 | 277 | 2013 |
| 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 | 229 | 2021 |
| Generalized attribute reduct in rough set theory X Jia, L Shang, B Zhou, Y Yao Knowledge-Based Systems 91, 204-218, 2016 | 211 | 2016 |
| 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 | 166 | 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 | 123 | 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 | 107 | 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 | 87 | 2021 |
| Label Distribution Learning by Exploiting Label Correlations X Jia, W Li, J Liu, Y Zhang AAAI Conference on Artificial Intelligence, 3310-3317, 2018 | 85 | 2018 |
| 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 | 83 | 2019 |
| 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 | 82 | 2019 |
| Label distribution learning with label-specific features T Ren, X Jia, W Li, L Chen, Z Li IJCAI, 3318-3324, 2019 | 82 | 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 | 76 | 2012 |
| 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 | 75 | 2023 |
| 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 | 75 | 2019 |
| Label Distribution Learning by Exploiting Sample Correlations Locally X Zheng, X Jia, W Li AAAI Conference on Artificial Intelligence, 4556-4563, 2018 | 61 | 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 | 60 | 2020 |
| Label distribution learning with label correlations via low-rank approximation T Ren, X Jia, W Li, S Zhao IJCAI, 3325-3331, 2019 | 58 | 2019 |
| Effort-aware semi-supervised just-in-time defect prediction W Li, W Zhang, X Jia, Z Huang Information and Software Technology 126, 106364, 2020 | 57 | 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 |
Zechao Li (李泽超)Professor, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证