| Fuzziness based semi-supervised learning approach for intrusion detection system RAR Ashfaq, XZ Wang, JZ Huang, H Abbas, YL He Information sciences 378, 484-497, 2017 | 665 | 2017 |
| Particle swarm optimization for determining fuzzy measures from data XZ Wang, YL He, LC Dong, HY Zhao Information Sciences 181 (19), 4230-4252, 2011 | 137 | 2011 |
| OWA operator based link prediction ensemble for social network Y He, JNK Liu, Y Hu, X Wang Expert Systems with Applications 42 (1), 21-50, 2015 | 135 | 2015 |
| Fuzzy nonlinear regression analysis using a random weight network YL He, XZ Wang, JZ Huang Information Sciences 364, 222-240, 2016 | 130 | 2016 |
| Random sample partition: a distributed data model for big data analysis S Salloum, JZ Huang, Y He IEEE Transactions on Industrial Informatics 15 (11), 5846-5854, 2019 | 105 | 2019 |
| Non-naive Bayesian classifiers for classification problems with continuous attributes XZ Wang, YL He, DD Wang IEEE transactions on cybernetics 44 (1), 21-39, 2013 | 103 | 2013 |
| Learning from uncertainty for big data: future analytical challenges and strategies X Wang, Y He IEEE Systems, Man, and Cybernetics Magazine 2 (2), 26-31, 2016 | 102 | 2016 |
| Deep neural network modeling for big data weather forecasting JNK Liu, Y Hu, Y He, PW Chan, L Lai Information granularity, big data, and computational intelligence, 389-408, 2015 | 78 | 2015 |
| Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis YL He, R Wang, S Kwong, XZ Wang Information Sciences 259, 252-268, 2014 | 72 | 2014 |
| Learning ELM-tree from big data based on uncertainty reduction R Wang, YL He, CY Chow, FF Ou, J Zhang Fuzzy Sets and Systems 258, 79-100, 2015 | 67 | 2015 |
| Exact and approximate algorithms for discounted {0-1} knapsack problem YC He, XZ Wang, YL He, SL Zhao, WB Li Information Sciences 369, 634-647, 2016 | 61 | 2016 |
| A new method for knowledge and information management domain ontology graph model JNK Liu, YL He, EHY Lim, XZ Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (1), 115-127, 2012 | 61 | 2012 |
| Determining the optimal temperature parameter for Softmax function in reinforcement learning YL He, XL Zhang, W Ao, JZ Huang Applied Soft Computing 70, 80-85, 2018 | 60 | 2018 |
| Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data YL He, CH Wei, H Long, RAR Ashfaq, JZ Huang Applied soft computing 70, 959-979, 2018 | 41 | 2018 |
| A set covering based approach to find the reduct of variable precision rough set JNK Liu, Y Hu, Y He Information sciences 275, 83-100, 2014 | 37 | 2014 |
| Toward an efficient fuzziness based instance selection methodology for intrusion detection system RAR Ashfaq, Y He, D Chen International Journal of Machine Learning and Cybernetics 8, 1767-1776, 2017 | 30 | 2017 |
| A two-stage data processing algorithm to generate random sample partitions for big data analysis C Wei, S Salloum, TZ Emara, X Zhang, JZ Huang, Y He International Conference on Cloud Computing, 347-364, 2018 | 25 | 2018 |
| Domain ontology graph model and its application in Chinese text classification JNK Liu, Y He, EHY Lim, X Wang Neural Computing and Applications 24, 779-798, 2014 | 25 | 2014 |
| Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression H Liu, J Wang, Y He, RAR Ashfaq Neural Computing and Applications 28 (11), 3465-3476, 2017 | 24 | 2017 |
| A Robust k‐Means Clustering Algorithm Based on Observation Point Mechanism X Zhang, Y He, Y Jin, H Qin, M Azhar, JZ Huang Complexity 2020 (1), 3650926, 2020 | 23 | 2020 |
