| Deep feature weighting for naive Bayes and its application to text classification L Jiang, C Li, S Wang, L Zhang Engineering Applications of Artificial Intelligence 52, 26-39, 2016 | 365 | 2016 |
| A correlation-based feature weighting filter for naive Bayes L Jiang, L Zhang, C Li, J Wu IEEE transactions on knowledge and data engineering 31 (2), 201-213, 2018 | 247 | 2018 |
| QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments Z Li, P Mu, C Li, H Zhang, Z Li, Y Gao, X Wang Theoretical and Applied Genetics 110, 1244-1252, 2005 | 219 | 2005 |
| Two feature weighting approaches for naive Bayes text classifiers L Zhang, L Jiang, C Li, G Kong Knowledge-Based Systems 100, 137-144, 2016 | 135 | 2016 |
| Adapting naive Bayes tree for text classification S Wang, L Jiang, C Li Knowledge and Information Systems, 1-13, 2014 | 132 | 2014 |
| CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection H Zhang, L Jiang, C Li Expert Systems with Applications 185, 115673, 2021 | 125 | 2021 |
| Structure extended multinomial naive Bayes L Jiang, S Wang, C Li, L Zhang Information Sciences 329, 346-356, 2016 | 117 | 2016 |
| Error-specific medial cortical and subcortical activity during the stop signal task: a functional magnetic resonance imaging study CSR Li, P Yan, HHA Chao, R Sinha, P Paliwal, RT Constable, S Zhang, ... Neuroscience 155 (4), 1142-1151, 2008 | 98 | 2008 |
| Cost-sensitive Bayesian network classifiers L Jiang, C Li, S Wang Pattern Recognition Letters 45, 211-216, 2014 | 75 | 2014 |
| Noise filtering to improve data and model quality for crowdsourcing C Li, VS Sheng, L Jiang, H Li Knowledge-Based Systems 107, 96-103, 2016 | 68 | 2016 |
| Wrapper framework for test-cost-sensitive feature selection L Jiang, G Kong, C Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (3), 1747-1756, 2019 | 65 | 2019 |
| Learning from crowds with multiple noisy label distribution propagation L Jiang, H Zhang, F Tao, C Li IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6558-6568, 2021 | 62 | 2021 |
| Label similarity-based weighted soft majority voting and pairing for crowdsourcing F Tao, L Jiang, C Li Knowledge and Information Systems 62, 2521-2538, 2020 | 47 | 2020 |
| Class-specific deep feature weighting for Naïve Bayes text classifiers S Ruan, H Li, C Li, K Song IEEE Access 8, 20151-20159, 2020 | 47 | 2020 |
| Label augmented and weighted majority voting for crowdsourcing Z Chen, L Jiang, C Li Information Sciences 606, 397-409, 2022 | 46 | 2022 |
| A novel minority cloning technique for cost-sensitive learning L Jiang, C Qiu, C Li International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015 | 46 | 2015 |
| A new feature selection approach to naive Bayes text classifiers L Zhang, L Jiang, C Li International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 44 | 2016 |
| Learning decision tree for ranking L Jiang, C Li, Z Cai Knowledge and Information Systems 20, 123-135, 2009 | 44 | 2009 |
| Improving data and model quality in crowdsourcing using co-training-based noise correction Y Dong, L Jiang, C Li Information Sciences 583, 174-188, 2022 | 43 | 2022 |
| Improving data and model quality in crowdsourcing using cross-entropy-based noise correction W Xu, L Jiang, C Li Information Sciences 546, 803-814, 2021 | 43 | 2021 |
Liangxiao JiangChina University of GeosciencesVerified email at cug.edu.cn
