Changying Du

发表

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

Zhongzhi Shi, Fuzhen Zhuang, Ping Luo, 2014, IEEE transactions on cybernetics.

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).

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

Yuan Qi, Fuzhen Zhuang, Jia He, 2014 .

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

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

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

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

Clustering in extreme learning machine feature space

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

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

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

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition pdf

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

Bayesian Group Feature Selection for Support Vector Learning Machines

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

Online Bayesian Max-Margin Subspace Multi-View Learning

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

Multi-task Multi-view Learning for Heterogeneous Tasks

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

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.

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

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

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel

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

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

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

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.

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

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

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

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

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

Efficient Bayesian Maximum Margin Multiple Kernel Learning

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

Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI

Changying Du, Shuxian Du, Yaxiu Sun, 2023, ArXiv.

Bayesian Maximum Margin Principal Component Analysis

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

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

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

StockAssIstant

Changying Du, Hongzhi Yin, Hao Wang, 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Conditional Generative Neural Decoding with Structured CNN Feature Prediction

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