| 2020 | AAAI | Conditional Generative Neural Decoding with Structured CNN Feature Prediction. | Changde Du, Changying Du, Lijie Huang, Huiguang He |
| 2020 | SIGIR | JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. | Xu Chen, Changying Du, Xiuqiang He, Jun Wang |
| 2018 | IJCAI | Redundancy-resistant Generative Hashing for Image Retrieval. | Changying Du, Xingyu Xie, Changde Du, Hao Wang |
| 2018 | KDD | Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. | Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang |
| 2018 | KDD | StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. | Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang |
| 2017 | IJCAI | Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. | Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long |
| 2017 | IJCNN | Sharing deep generative representation for perceived image reconstruction from human brain activity. | Changde Du, Changying Du, Huiguang He |
| 2017 | KDD | A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. | Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong |
| 2016 | IJCAI | Online Bayesian Max-Margin Subspace Multi-View Learning. | Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long |
| 2016 | IJCNN | Online variational Bayesian Support Vector Regression. | Siqi Deng, Kan Gao, Changying Du, Wenjing Ma, Guoping Long, Yucheng Li |
| 2016 | PAKDD | Bayesian Group Feature Selection for Support Vector Learning Machines. | Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long |
| 2016 | UAI | Online Bayesian Multiple Kernel Bipartite Ranking. | Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li |
| 2015 | AAAI | Bayesian Maximum Margin Principal Component Analysis. | Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi |
| 2015 | CIKM | Heterogeneous Multi-task Semantic Feature Learning for Classification. | Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He |
| 2014 | CIKM | Multi-task Multi-view Learning for Heterogeneous Tasks. | Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He |
| 2014 | ECAI | Nonparametric Bayesian Multi-Task Large-margin Classification. | Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He |
| 2013 | WSDM | Triplex transfer learning: exploiting both shared and distinct concepts for text classification. | Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi |
| 2012 | ICDM | Multi-task Semi-supervised Semantic Feature Learning for Classification. | Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi |