Articles with public access mandates - Xin Jin (金鑫)Learn more
Not available anywhere: 4
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
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
Available somewhere: 6
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program