| 2025 | IJCNN | Enhance Object Detection via Instance Transformation Between Categories Using Diffusion Models. | Haoyuan Ma, Jiangtao Ren |
| 2020 | CCGRID | Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning. | Mengqiang Chen, Zijie Yan, Jiangtao Ren, Weigang Wu |
| 2020 | COLING | Label Correction Model for Aspect-based Sentiment Analysis. | Qianlong Wang, Jiangtao Ren |
| 2020 | ECAI | Sequence Prediction Model for Aspect-Level Sentiment Classification. | Qianlong Wang, Jiangtao Ren |
| 2020 | IJCNN | Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. | Liao Cheng, Ziheng Chen, Jiangtao Ren |
| 2020 | IJCNN | Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching. | Qianlong Wang, Jiangtao Ren |
| 2019 | DSAA | Short Text Embedding for Clustering Based on Word and Topic Semantic Information. | Ziheng Chen, Jiangtao Ren |
| 2019 | IJCNN | Abstractive Summarization with Keyword and Generated Word Attention. | Qianlong Wang, Jiangtao Ren |
| 2019 | IJCNN | Paraphrase Generation with Collaboration between the Forward and the Backward Decoder. | Qianlong Wang, Jiangtao Ren |
| 2019 | ICTAI | Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features. | Huiwen Jiang, Weigang Wu, Jiangtao Ren |
| 2019 | ICTAI | GLSE: Global-Local Selective Encoding for Response Generation in Neural Conversation Model. | Hongli Wang, Jiangtao Ren |
| 2018 | ACML | A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. | Hongli Wang, Jiangtao Ren |
| 2018 | NLDB | T2S: An Encoder-Decoder Model for Topic-Based Natural Language Generation. | Wenjie Ou, Chaotao Chen, Jiangtao Ren |
| 2017 | MDM | Efficient OD Trip Matrix Prediction Based on Tensor Decomposition. | Jiangtao Ren, Qiwei Xie |
| 2017 | NLDB | An Improved PLDA Model for Short Text. | Chaotao Chen, Jiangtao Ren |
| 2014 | PAKDD | Domain Transfer via Multiple Sources Regularization. | Shaofeng Hu, Jiangtao Ren, Changshui Zhang, Chaogui Zhang |
| 2012 | PAKDD | Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning. | Ming Zeng, Jiangtao Ren |
| 2011 | ICML | Eigenvalue Sensitive Feature Selection. | Yi Jiang, Jiangtao Ren |
| 2010 | ADMA | Multiple Kernel Learning Improved by MMD. | Jiangtao Ren, Zhou Liang, Shaofeng Hu |
| 2010 | SDM | Generalized and Heuristic-Free Feature Construction for Improved Accuracy. | Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang |
| 2009 | ICDM | Naive Bayes Classification of Uncertain Data. | Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, David Wai-Lok Cheung |
| 2009 | KDD | Cross domain distribution adaptation via kernel mapping. | Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure |
| 2009 | WWW | Latent space domain transfer between high dimensional overlapping distributions. | Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren |
| 2008 | ICDM | Graph-Based Iterative Hybrid Feature Selection. | ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang |
| 2008 | PAKDD | Forward Semi-supervised Feature Selection. | Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu |
| 2008 | SDM | Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. | Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu |