Xin Jin

Orcid: 0000-0001-7394-0210

Affiliations:
  • Huawei Technologies, Central Software Institute, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Xin Jin authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Dual Sampling Based Causal Intervention for Face Anti-Spoofing With Identity Debiasing.
IEEE Trans. Inf. Forensics Secur., 2024

Hierarchical compositional representations for few-shot action recognition.
Comput. Vis. Image Underst., 2024

2023
Accurate Implicit Neural Mapping With More Compact Representation in Large-Scale Scenes Using Ranging Data.
IEEE Robotics Autom. Lett., October, 2023

Stable Attribute Group Editing for Reliable Few-shot Image Generation.
CoRR, 2023

PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry.
IROS, 2023

2022
Attribute Group Editing for Reliable Few-shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2018
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization.
IEEE Trans. Cybern., 2018

2016
Bag of little bootstraps on features for enhancing classification performance.
Intell. Data Anal., 2016

Efficient Bayesian Maximum Margin Multiple Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Clustering in extreme learning machine feature space.
Neurocomputing, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Particle swarm optimization using dimension selection methods.
Appl. Math. Comput., 2013

Shared Structure Learning for Multiple Tasks with Multiple Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013


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