| Clustering in extreme learning machine feature space Q He, X Jin, C Du, F Zhuang, Z Shi Neurocomputing 128, 88-95, 2014 | 110 | 2014 |
| Particle swarm optimization using dimension selection methods X Jin, Y Liang, D Tian, F Zhuang Applied Mathematics and Computation 219 (10), 5185-5197, 2013 | 86 | 2013 |
| Shared Structure Learning for Multiple Tasks with Multiple Views X Jin, F Zhuang, S Wang, Q He, Z Shi (ECML-PKDD 2013)-European Conference on Machine Learning and Principles and …, 2013 | 60 | 2013 |
| Multi-task Multi-view Learning for Heterogeneous Tasks X Jin, F Zhuang, H Xiong, C Du, P Luo, Q He (CIKM 2014) Proceedings of the 23rd ACM International Conference on …, 2014 | 50 | 2014 |
| Representation learning via semi-supervised autoencoder for multi-task learning F Zhuang, D Luo, X Jin, H Xiong, P Luo, Q He 2015 IEEE International Conference on Data Mining, 1141-1146, 2015 | 46 | 2015 |
| Attribute Group Editing for Reliable Few-shot Image Generation G Ding, X Han, S Wang, S Wu, X Jin, D Tu, Q Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Collaborating between local and global learning for distributed online multiple tasks X Jin, P Luo, F Zhuang, J He, Q He Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 24 | 2015 |
| Heterogeneous multi-task semantic feature learning for classification X Jin, F Zhuang, SJ Pan, C Du, P Luo, Q He Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 22 | 2015 |
| Semantic feature learning for heterogeneous multitask classification via non-negative matrix factorization F Zhuang, X Li, X Jin, D Zhang, L Qiu, Q He IEEE transactions on cybernetics 48 (8), 2284-2293, 2017 | 16 | 2017 |
| Hierarchical compositional representations for few-shot action recognition C Li, J Zhang, S Wu, X Jin, S Shan Computer Vision and Image Understanding 240, 103911, 2024 | 15 | 2024 |
| Unsupervised coherent video cartoonization with perceptual motion consistency Z Liu, L Li, H Jiang, X Jin, D Tu, S Wang, ZJ Zha Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1846-1853, 2022 | 7 | 2022 |
| Accurate Implicit Neural Mapping with More Compact Representation in Large-scale Scenes Using Ranging Data C Shi, F Tang, Y Wu, X Jin, G Ma IEEE Robotics and Automation Letters, 2023 | 6 | 2023 |
| Efficient bayesian maximum margin multiple kernel learning C Du, C Du, G Long, X Jin, Y Li Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 6 | 2016 |
| Dual Sampling Based Causal Intervention for Face Anti-Spoofing with Identity Debiasing X Long, J Zhang, S Wu, X Jin, S Shan IEEE Transactions on Information Forensics and Security, 2023 | 4 | 2023 |
| Stable Attribute Group Editing for Reliable Few-shot Image Generation G Ding, X Han, S Wang, X Jin, D Tu, Q Huang arXiv preprint arXiv:2302.00179, 2023 | 4 | 2023 |
| Plpl-vio: a novel probabilistic line measurement model for point-line-based visual-inertial odometry Z Xu, H Wei, F Tang, Y Zhang, Y Wu, G Ma, S Wu, X Jin 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 3 | 2023 |
| Object detection model training method and apparatus, and device C Zhang, X Jin, D Tu US Patent 11,605,211, 2023 | 3 | 2023 |
| Object detection model training method, apparatus, and device C Zhang, X Jin, D Tu US Patent 11,423,634, 2022 | 2 | 2022 |
| Bag of little bootstraps on features for enhancing classification performance H Wang, F Zhuang, X Jin, X Ao, Q He Intelligent Data Analysis 20 (5), 1085-1099, 2016 | 2 | 2016 |
| Protocol ontology and its application in extending JADE X Jin, S Ji, Y Liang, B Zou 2010 International Conference on Computer Application and System Modeling …, 2010 | 2 | 2010 |
Fuzhen Zhuang (庄福振)Professor at Institute of Artificial Intelligence, Beihang Universitybuaa.edu.cn의 이메일 확인됨