| Research and development on deep learning LIU Jian-wei, LIU Yuan, Xiong-lin LUO Application Research in Computers 31 (7), 1921-1931, 2014 | 121* | 2014 |
| Research progress in attention mechanism in deep learning LIU Jian-wei, LIU Jun-wen, LUO Xiong-lin 工程科学学报 43 (11), 1499-1511, 2021 | 116 | 2021 |
| Research and development on deep learning JW Liu, Y Liu, XL Luo Application research of computers 31 (7), 1921-1930, 2014 | 82 | 2014 |
| Survey on Semi-Supervised Learning Methods LIU Jian-wei, LIU Yuan, LUO Xiong-lin CHINESE JOURNAL OF COMPUTERS 38 (8), 1592-1617, 2015 | 80* | 2015 |
| Survey of Deep Reinforcement Learning Based on Value Function and Policy Gradient LIU Jian-Wei, GAO Feng, LUO Xiong-Lin Chinese Journal of Computers, 2019 | 65* | 2019 |
| Survey of deep reinforcement learning based on value function and policy gradient J Liu, F Gao, X Luo Chinese Journal of Computers 42 (6), 1406-1438, 2019 | 61 | 2019 |
| 半监督学习方法 刘建伟， 刘媛， 罗雄麟 计算机学报 38 (8), 1592-1617, 2015 | 61 | 2015 |
| Research progress on batch normalization of deep learning and its related algorithms L Jian-Wei, Z Hui-Dan, L Xiong-Lin, X Jun Acta Automatica Sinica 46 (6), 1090-1120, 2020 | 57 | 2020 |
| Class-overlap Undersampling based on Schur Decomposition for Class-imbalance Problems Q Dai, J Liu, Y Shi Expert Systems with Applications, 2023 | 53 | 2023 |
| Approximate controllability and optimal controls of fractional dynamical systems of order 1< q< 2 $1< q< 2$ in Banach spaces H Qin, X Zuo, J Liu, L Liu Advances in Difference Equations 2015 (1), 1-17, 2015 | 53 | 2015 |
| Multi-granularity relabeled under-sampling algorithm for imbalanced data Q Dai, J Liu, Y Liu Applied Soft Computing, 109083, 2022 | 48 | 2022 |
| Research and Development on Boltzmann Machine J Liu, Y Liu, L Xionglin Journal of Computer Research and Development 51 (1), 1-16, 2014 | 48* | 2014 |
| Adaptive online incremental learning for evolving data streams S Zhang, J Liu, X Zuo Applied Soft Computing 105, 107255, 2021 | 41 | 2021 |
| A MPAA-based iterative clustering algorithm augmented by nearest neighbors search for time-series data streams J Lin, M Vlachos, E Keogh, D Gunopulos, J Liu, S Yu, J Le PAKDD 2005, 333-342, 2005 | 40 | 2005 |
| Applications of AR*-GRNN model for financial time series forecasting W Li, Y Luo, Q Zhu, J Liu, J Le Neural Computing and Applications 17 (5), 441-448, 2008 | 38 | 2008 |
| Attentive Multi-View Deep Subspace Clustering Net Run-kun Lu,Jian-wei Liu, Xin Zuo Neurocomputing, 2021 | 37 | 2021 |
| Survey on the Regularized Sparse Models Liu Jianwei , Cui Lipeng ,LIU ZeYu, Luo Xionglin CHINESE JOURNAL OF COMPUTERS 38 (7), 1307-1325, 2015 | 33* | 2015 |
| Survey on the regularized sparse models JW Liu, LP Cui, ZY Liu, XL Luo Chinese Journal of Computers 38 (7), 1307-1325, 2015 | 32 | 2015 |
| Classification algorithm of support vector machine via p-norm regularization J Liu, S Li, X Luo Acta Automatica Sinica 38 (1), 76-87, 2012 | 27* | 2012 |
| Comparison research of single kernel and multi-kernel relevance vector machine L Yang, L Zhang, SX Zhang, JW Liu Computer Engineering 36 (12), 195-197, 2010 | 27* | 2010 |
Xiong-Lin Luo （罗雄麟）Professor, China University of Petroleum BeijingVerified email at cup.edu.cn