Xin Jin

According to our database, Xin Jin authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual Sampling Based Causal Intervention for Face Anti-Spoofing With Identity Debiasing.

Xingming Long, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan

IEEE Trans. Inf. Forensics Secur., 2024

DARTS: Diffusion Approximated Residual Time Sampling for Low Variance Time-of-flight Rendering in Homogeneous Scattering Medium.

Qianyue He, Xin Jin, Haitian Jiang, Dongyu Du

CoRR, 2024

2023

Accurate Implicit Neural Mapping With More Compact Representation in Large-Scale Scenes Using Ranging Data.

Chenhui Shi, Fulin Tang, Yihong Wu, Xin Jin, Gang Ma

IEEE Robotics Autom. Lett., October, 2023

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

Guanqi Ding, Xinzhe Han, Shuhui Wang, Xin Jin, Dandan Tu, Qingming Huang

CoRR, 2023

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

Zewen Xu, Hao Wei, Fulin Tang, Yidi Zhang, Yihong Wu, Gang Ma, Shuzhe Wu, Xin Jin

IROS, 2023

2022

Hierarchical Compositional Representations for Few-shot Action Recognition.

Changzhen Li, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan

CoRR, 2022

Attribute Group Editing for Reliable Few-shot Image Generation.

Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency.

Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2018

Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization.

Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He

IEEE Trans. Cybern., 2018

2016

Bag of little bootstraps on features for enhancing classification performance.

Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He

Intell. Data Anal., 2016

Efficient Bayesian Maximum Margin Multiple Kernel Learning.

Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.

Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.

Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.

Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Clustering in extreme learning machine feature space.

Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi

Neurocomputing, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.

Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Particle swarm optimization using dimension selection methods.

Xin Jin, Yongquan Liang, Dongping Tian, Fuzhen Zhuang

Appl. Math. Comput., 2013

Shared Structure Learning for Multiple Tasks with Multiple Views.

Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013