Changying Du

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 26

Top Topics

Transfer Learning

Bayesian Nonparametric

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Changde Du, Changying Du, Lijie Huang, Haibao Wang, Huiguang He
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Changde Du, Changying Du, Huiguang He
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning. Inf. Fusion 68 (2021)
Xu Chen, Changying Du, Xiuqiang He, Jun Wang
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR (2020)
Changde Du, Changying Du, Lijie Huang, Huiguang He
Conditional Generative Neural Decoding with Structured CNN Feature Prediction. AAAI (2020)
Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109 (2) (2020)
Changde Du, Changying Du, Huiguang He
Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval. ICME (2019)
Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR (2019)
Changde Du, Changying Du, Lijie Huang, Huiguang He
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR (2019)
Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia (2018)
Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. KDD (2018)
Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR (2018)
Changying Du, Xingyu Xie, Changde Du, Hao Wang
Redundancy-resistant Generative Hashing for Image Retrieval. IJCAI (2018)
Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. KDD (2018)
Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI (2017)
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD (2017)
Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR (2017)
Changde Du, Changying Du, Huiguang He
Sharing deep generative representation for perceived image reconstruction from human brain activity. IJCNN (2017)
Changde Du, Changying Du, Huiguang He
Sharing deep generative representation for perceived image reconstruction from human brain activity. CoRR (2017)
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. CoRR (2017)
Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) (2016)
Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI (2016)
Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long
Bayesian Group Feature Selection for Support Vector Learning Machines. PAKDD (1) (2016)
Siqi Deng, Kan Gao, Changying Du, Wenjing Ma, Guoping Long, Yucheng Li
Online variational Bayesian Support Vector Regression. IJCNN (2016)
Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li
Online Bayesian Multiple Kernel Bipartite Ranking. UAI (2016)
Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li
Efficient Bayesian Maximum Margin Multiple Kernel Learning. ECML/PKDD (1) (2016)
Ning Bu, Lei Yu, Wenjing Ma, Changying Du, Shuzi Niu, Guoping Long
Detect Similar Mobile Applications with Transfer Learning. SmartCity (2015)
Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM (2015)
Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
Bayesian Maximum Margin Principal Component Analysis. AAAI (2015)
Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. 44 (7) (2014)
Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM (2014)
Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI (2014)
Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi
Clustering in extreme learning machine feature space. Neurocomputing 128 (2014)
Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi
Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM (2013)
Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi
Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM (2012)
Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
A parallel incremental extreme SVM classifier. Neurocomputing 74 (16) (2011)