Joey Tianyi Zhou

According to our database1, Joey Tianyi Zhou authored at least 29 papers between 2012 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Learning With Annotation of Various Degrees.
IEEE Trans. Neural Netw. Learning Syst., 2019

AnomalyNet: An Anomaly Detection Network for Video Surveillance.
IEEE Trans. Information Forensics and Security, 2019

Multiple Marginal Fisher Analysis.
IEEE Trans. Industrial Electronics, 2019

N-ary decomposition for multi-class classification.
Machine Learning, 2019

Multi-class Heterogeneous Domain Adaptation.
J. Mach. Learn. Res., 2019

Action recognition for depth video using multi-view dynamic images.
Inf. Sci., 2019

A deep learning framework for Hybrid Heterogeneous Transfer Learning.
Artif. Intell., 2019

Multi-view Spectral Clustering Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

COMIC: Multi-view Clustering Without Parameter Selection.
Proceedings of the 36th International Conference on Machine Learning, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transfer Hashing: From Shallow to Deep.
IEEE Trans. Neural Netw. Learning Syst., 2018

Structured AutoEncoders for Subspace Clustering.
IEEE Trans. Image Processing, 2018

'Who Likes What and, Why?' Insights into Modeling Users' Personality Based on Image 'Likes'.
IEEE Trans. Affective Computing, 2018

Guide them through: An automatic crowd control framework using multi-objective genetic programming.
Appl. Soft Comput., 2018

A Learning-based Approach for Error Compensation of Industrial Manipulator with Hybrid Model.
Proceedings of the 15th International Conference on Control, 2018

SC2Net: Sparse LSTMs for Sparse Coding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Understanding Deep Representations Learned in Modeling Users Likes.
IEEE Trans. Image Processing, 2016

Transfer Hashing with Privileged Information.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations.
Proceedings of the Computer Vision - ECCV 2016, 2016

Exploit Bounding Box Annotations for Multi-Label Object Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014
Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis.
Proceedings of the Computer Vision - ECCV 2014, 2014

Heterogeneous Domain Adaptation for Multiple Classes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Deep Representations to Model User 'Likes'.
Proceedings of the Computer Vision - ACCV 2014, 2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012
Multi-view Positive and Unlabeled Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012


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