Changying Du

发表

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

Changde Du, Huiguang He, Changying Du, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Nonparametric Bayesian Multi-Task Large-margin Classification

Yuan Qi, Fuzhen Zhuang, Qing He, 2014, ECAI.

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

Qing He, Jia He, Fuzhen Zhuang, 2019, Machine Learning.

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

Hao Wang, Changde Du, Huiguang He, 2018, ACM Multimedia.

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

Chen Zhang, Hao Wang, Changde Du, 2018, KDD.

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition pdf

Changde Du, Huiguang He, Bao-Liang Lu, 2017, ArXiv.

Online variational Bayesian Support Vector Regression

Guoping Long, Changying Du, Yucheng Li, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Conditional Generative Neural Decoding with Structured CNN Feature Prediction

Changde Du, Lijie Huang, Huiguang He, 2020, AAAI.

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

Changde Du, Jia He, Fuzhen Zhuang, 2019, ArXiv.

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

Changde Du, Huiguang He, Changying Du, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Bayesian Maximum Margin Principal Component Analysis

Yuan Qi, Fuzhen Zhuang, Qing He, 2015, AAAI.

Bayesian Group Feature Selection for Support Vector Learning Machines

Qing He, Changde Du, Ali Luo, 2016, PAKDD.

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel

Fuzhen Zhuang, Qing He, Changde Du, 2017, IJCAI.

Heterogeneous Multi-task Semantic Feature Learning for Classification

Fuzhen Zhuang, Qing He, Ping Luo, 2015, CIKM.

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling pdf

Fuzhen Zhuang, Qing He, Guoping Long, 2016, ECML/PKDD.

Online Bayesian Max-Margin Subspace Multi-View Learning

Xin Yin, Fuzhen Zhuang, Qing He, 2016, IJCAI.

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

Xu Chen, Changying Du, Xiuqiang He, 2020, SIGIR.

Multi-task Multi-view Learning for Heterogeneous Tasks

Hui Xiong, Fuzhen Zhuang, Qing He, 2014, CIKM.

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

Changde Du, Lijie Huang, Huiguang He, 2020, IEEE transactions on neural networks and learning systems.

Multi-task Semi-supervised Semantic Feature Learning for Classification

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2012, 2012 IEEE 12th International Conference on Data Mining.

Efficient Bayesian Maximum Margin Multiple Kernel Learning

Xin Jin, Changde Du, Guoping Long, 2016, ECML/PKDD.

Lei Yu, Guoping Long, Shuzi Niu, 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

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

Changde Du, Lijie Huang, Huiguang He, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A parallel incremental extreme SVM classifier

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2011, Neurocomputing.

Clustering in extreme learning machine feature space

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, Neurocomputing.

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

Changde Du, Huiguang He, Changying Du, 2021, Inf. Fusion.

Nonparametric Bayesian Multi-Task Large-margin Classification, 21st European Conference on Artificial intelligence

Yuan Qi, Fuzhen Zhuang, Jia He, 2014 .

Redundancy-resistant Generative Hashing for Image Retrieval

Hao Wang, Changde Du, Changying Du, 2018, IJCAI.

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

Chen Zhang, Hao Wang, Yijun Wang, 2018, KDD.

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

Hui Xiong, Hongzhi Yin, Hao Wang, 2017, KDD.

Online Bayesian Multiple Kernel Bipartite Ranking

Qing He, Changde Du, Guoping Long, 2016, UAI.

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

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, IEEE Transactions on Cybernetics.