| A novel synchronization invariant audio watermarking scheme based on DWT and DCT XY Wang, H Zhao IEEE Transactions on signal processing 54 (12), 4835-4840, 2006 | 382 | 2006 |
| Multi-label feature selection with missing labels P Zhu, Q Xu, Q Hu, C Zhang, H Zhao Pattern Recognition 74, 488-502, 2018 | 167 | 2018 |
| Fuzzy rough set based feature selection for large-scale hierarchical classification H Zhao, P Wang, Q Hu, P Zhu IEEE Transactions on Fuzzy Systems 27 (10), 1891-1903, 2019 | 96 | 2019 |
| Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence H Zhao, P Wang, Q Hu Information Sciences 366, 134-149, 2016 | 83 | 2016 |
| Self‐regulated learning ability of C hinese distance learners H Zhao, L Chen, S Panda British Journal of Educational Technology 45 (5), 941-958, 2014 | 83 | 2014 |
| A recursive regularization based feature selection framework for hierarchical classification H Zhao, Q Hu, P Zhu, Y Wang, P Wang IEEE Transactions on Knowledge and Data Engineering, 2021 | 70 | 2021 |
| A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism H Zhao, X Li Information Sciences 378, 303-316, 2017 | 65 | 2017 |
| Hierarchical feature selection based on label distribution learning Y Lin, H Liu, H Zhao, Q Hu, X Zhu, X Wu IEEE Transactions on Knowledge and Data Engineering 35 (6), 5964-5976, 2022 | 60 | 2022 |
| Hierarchical feature selection with subtree based graph regularization Q Tuo, H Zhao, Q Hu Knowledge-Based Systems 163, 996-1008, 2019 | 49 | 2019 |
| Cost-sensitive hierarchical classification for imbalance classes W Zheng, H Zhao Applied Intelligence 50 (8), 2328-2338, 2020 | 45 | 2020 |
| Hierarchical Feature Selection with Recursive Regularization. H Zhao, P Zhu, P Wang, Q Hu IJCAI 2017, 3483-3489, 2017 | 44 | 2017 |
| A cost sensitive decision tree algorithm with two adaptive mechanisms X Li, H Zhao, W Zhu Knowledge-Based Systems 88, 24-33, 2015 | 42 | 2015 |
| Small object detection via dual inspection mechanism for UAV visual images G Tian, J Liu, H Zhao, W Yang Applied Intelligence 52 (4), 4244-4257, 2022 | 41 | 2022 |
| Cost‐Sensitive Feature Selection of Numeric Data with Measurement Errors H Zhao, F Min, W Zhu Journal of Applied Mathematics 2013 (1), 754698, 2013 | 39 | 2013 |
| Optimal cost-sensitive granularization based on rough sets for variable costs H Zhao, W Zhu Knowledge-Based Systems 65, 72-82, 2014 | 37 | 2014 |
| Nullity-based matroid of rough sets and its application to attribute reduction A Huang, H Zhao, W Zhu Information Sciences 263, 153-165, 2014 | 35 | 2014 |
| A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance Z Qiu, H Zhao Applied Intelligence 52 (10), 11089-11102, 2022 | 33 | 2022 |
| Factors Influencing Self-Regulation in E-learning 2.0: Confirmatory Factor Model| Facteurs qui influencent la maîtrise de soi en cyberapprentissage 2.0: modèle de facteur … H Zhao Canadian Journal of Learning and Technology 42 (2), 2016 | 33 | 2016 |
| Local bayes risk minimization based stopping strategy for hierarchical classification Y Wang, Q Hu, Y Zhou, H Zhao, Y Qian, J Liang 2017 IEEE International Conference on Data Mining (ICDM), 515-524, 2017 | 31 | 2017 |
| Test-cost-sensitive attribute reduction based on neighborhood rough set H Zhao, F Min, W Zhu 2011 IEEE International Conference on Granular Computing, 802-806, 2011 | 30 | 2011 |
Qinghua HuProfessor of Computer Science, Tianjin UniversityZweryfikowany adres z tju.edu.cn