A parallel incremental extreme SVM classifier. - Qing He 003; Changying Du; Qun Wang; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2011)

Multi-task Semi-supervised Semantic Feature Learning for Classification. - Changying Du; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ICDM, 2012)

Triplex transfer learning: exploiting both shared and distinct concepts for text classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi (WSDM, 2013)

Multi-task Multi-view Learning for Heterogeneous Tasks. - Xin Jin 004; Fuzhen Zhuang; Hui Xiong 001; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2014)

Nonparametric Bayesian Multi-Task Large-margin Classification. - Changying Du; Jia He 001; Fuzhen Zhuang; Yuan Qi 001; Qing He 003 (ECAI, 2014)

Clustering in extreme learning machine feature space. - Qing He 003; Xin Jin 004; Changying Du; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2014)

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Cybern., 2014)

Bayesian Maximum Margin Principal Component Analysis. - Changying Du; Shandian Zhe; Fuzhen Zhuang; Yuan Qi 001; Qing He 003; Zhongzhi Shi (AAAI, 2015)

Heterogeneous Multi-task Semantic Feature Learning for Classification. - Xin Jin 004; Fuzhen Zhuang; Sinno Jialin Pan; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2015)

Detect Similar Mobile Applications with Transfer Learning. - Ning Bu; Lei Yu 012; Wenjing Ma; Changying Du; Shuzi Niu; Guoping Long (SmartCity, 2015)

Online Bayesian Max-Margin Subspace Multi-View Learning. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (IJCAI, 2016)

Online variational Bayesian Support Vector Regression. - Siqi Deng; Kan Gao; Changying Du; Wenjing Ma; Guoping Long; Yucheng Li 002 (IJCNN, 2016)

Bayesian Group Feature Selection for Support Vector Learning Machines. - Changde Du; Changying Du; Shandian Zhe; Ali Luo; Qing He 003; Guoping Long (PAKDD (1), 2016)

Efficient Bayesian Maximum Margin Multiple Kernel Learning. - Changying Du; Changde Du; Guoping Long; Xin Jin 004; Yucheng Li 002 (ECML/PKDD (1), 2016)

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Changying Du; Fuzhen Zhuang; Jia He 001; Qing He 003; Guoping Long (ECML/PKDD (1), 2016)

Online Bayesian Multiple Kernel Bipartite Ranking. - Changying Du; Changde Du; Guoping Long; Qing He 003; Yucheng Li 002 (UAI, 2016)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

Sharing deep generative representation for perceived image reconstruction from human brain activity. - Changde Du; Changying Du; Huiguang He (IJCNN, 2017)

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. - Hao Wang 005; Yanmei Fu; Qinyong Wang; Hongzhi Yin; Changying Du; Hui Xiong 001 (KDD, 2017)

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. - Changde Du; Changying Du; Jinpeng Li 002; Wei-Long Zheng; Bao-Liang Lu; Huiguang He (CoRR, 2017)

Redundancy-resistant Generative Hashing for Image Retrieval. - Changying Du; Xingyu Xie; Changde Du; Hao Wang 005 (IJCAI, 2018)

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. - Changying Du; Changde Du; Xingyu Xie; Chen Zhang 003; Hao Wang 005 (KDD, 2018)

StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. - Chen Zhang 003; Yijun Wang; Can Chen; Changying Du; Hongzhi Yin; Hao Wang 005 (KDD, 2018)

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. - Changde Du; Changying Du; Hao Wang 005; Jinpeng Li 002; Wei-Long Zheng; Bao-Liang Lu; Huiguang He (ACM Multimedia, 2018)

Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval. - Changde Du; Changying Du; Huiguang He (ICME, 2019)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning. - Changde Du; Changying Du; Lijie Huang; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2019)

Conditional Generative Neural Decoding with Structured CNN Feature Prediction. - Changde Du; Changying Du; Lijie Huang; Huiguang He (AAAI, 2020)

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. - Xu Chen 017; Changying Du; Xiuqiang He 001; Jun Wang 012 (SIGIR, 2020)

Online Bayesian max-margin subspace learning for multi-view classification and regression. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (Mach. Learn., 2020)

Multimodal deep generative adversarial models for scalable doubly semi-supervised learning. - Changde Du; Changying Du; Huiguang He (Inf. Fusion, 2021)

Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. - Changde Du; Changying Du; Lijie Huang; Haibao Wang; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2022)