| Multiple kernel clustering based on centered kernel alignment Y Lu, L Wang, J Lu, J Yang, C Shen Pattern Recognition 47 (11), 3656-3664, 2014 | 103 | 2014 |
| Active learning via query synthesis and nearest neighbour search L Wang, X Hu, B Yuan, J Lu Neurocomputing 147, 426–434, 2015 | 67 | 2015 |
| Feature and region selection for visual learning J Zhao, L Wang, R Cabral, F De la Torre IEEE Transactions on Image Processing 25 (3), 1084-1094, 2016 | 24 | 2016 |
| Instance annotation via optimal bow for weakly supervised object localization L Wang, D Meng, X Hu, J Lu, J Zhao IEEE transactions on cybernetics 47 (5), 1313-1324, 2017 | 15 | 2017 |
| Querying representative points from a pool based on synthesized queries X Hu, L Wang, B Yuan The 2012 international joint conference on neural networks (IJCNN), 1-6, 2012 | 11 | 2012 |
| Weakly supervised object localization via maximal entropy random walk L Wang, J Zhao, X Hu, J Lu Image Processing (ICIP), 2014 IEEE International Conference on, 1614-1617, 2014 | 9 | 2014 |
| Action recognition by latent duration model T Wang, C Liu, L Wang Neurocomputing 273, 111-119, 2018 | 8 | 2018 |
| Logistic regression region weighting for weakly supervised object localization L Wang, T Wang, X Hu IEEE Access 7, 118411-118421, 2019 | 6 | 2019 |
| ST-CSNN: a novel method for vehicle counting K Yin, L Wang, J Zhang Machine Vision and Applications 32 (5), 108, 2021 | 4 | 2021 |
| Evolution modeling with multi-scale smoothing for action recognition T Wang, C Liu, L Wang, B Ma, X Gu Journal of Visual Communication and Image Representation 55, 778-788, 2018 | 4 | 2018 |
| Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph L Wang, J Lu, X Li, Z Huan, J Liang, S Chen Pattern Recognition Letters 87, 171-176, 2017 | 4 | 2017 |
| Multiple-instance discriminant analysis for weakly supervised segment annotation L Wang, Q Li, Y Zhou IEEE Transactions on Image Processing 28 (11), 5716-5728, 2019 | 3 | 2019 |
| Non‐concept density estimation via kernel regression for concept ranking in weakly labelled data L Wang, Q Li, J Lu, Q Wang IET Computer Vision 12 (1), 104-109, 2018 | 2 | 2018 |
| Instance-dimension dual contrastive learning of visual representations Q Liu, L Wang, Q Wang, J Zhang Machine Vision and Applications 34 (5), 89, 2023 | | 2023 |
| Automatic Lane Recognition for Surveillance at Road Intersections F Min, G Wang, L Wang, J Liu Emerging Trends in Intelligent and Interactive Systems and Applications …, 2021 | | 2021 |
| Weakly supervised segment annotation via expectation kernel density estimation L Wang, Q Li, J Lu IET Computer Vision 13 (4), 435-441, 2019 | | 2019 |
| Feature Voting for Object Localization via Density Ratio Estimation L Wang, D Deng, C Chen KSII Transactions on Internet and Information Systems (TIIS) 13 (12), 6009-6027, 2019 | | 2019 |
| A Least Squares Approach to Region Selection L Wang, Y Liu, J Lu Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | | 2018 |
| Constructing Class Hierarchy via Adaptive Kernel Learning Y Lu, J Lu, L Wang, J Yang Pattern Recognition: Chinese Conference, CCPR 2012, Beijing, China …, 2012 | | 2012 |
