Changying Du

Orcid: 0000-0002-4489-0020

According to our database¹, Changying Du authored at least 32 papers between 2011 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2022

Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Multimodal deep generative adversarial models for scalable doubly semi-supervised learning.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Inf. Fusion, 2021

2020

Online Bayesian max-margin subspace learning for multi-view classification and regression.

[BibT_eX]

[DOI]

Mach. Learn., 2020

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Conditional Generative Neural Decoding with Structured CNN Feature Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Redundancy-resistant Generative Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Sharing deep generative representation for perceived image reconstruction from human brain activity.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Online Bayesian Multiple Kernel Bipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.

[BibT_eX]

[DOI]

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

Efficient Bayesian Maximum Margin Multiple Kernel Learning.

[BibT_eX]

[DOI]

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

Bayesian Group Feature Selection for Support Vector Learning Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Online variational Bayesian Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online Bayesian Max-Margin Subspace Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Detect Similar Mobile Applications with Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.

[BibT_eX]

[DOI]

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

Bayesian Maximum Margin Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Clustering in extreme learning machine feature space.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Nonparametric Bayesian Multi-Task Large-margin Classification.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.

[BibT_eX]

[DOI]

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

2013

Triplex transfer learning: exploiting both shared and distinct concepts for text classification.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

2012

Multi-task Semi-supervised Semantic Feature Learning for Classification.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

A parallel incremental extreme SVM classifier.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Changying Du

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