| 2020 | ECCV | EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. | Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang |
| 2017 | COCOA | Toward Energy-Efficient and Robust Clustering Algorithm on Mobile Ad Hoc Sensor Networks. | Huamei Qi, Tailong Xiao, Anfeng Liu, Jiang Su |
| 2016 | FCCM | Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout. | Jiang Su, David B. Thomas, Peter Y. K. Cheung |
| 2012 | ICPR | Hypergraph matching based on Marginalized Constrained Compatibility. | Jiang Su, Le Dong, Peng Ren, Edwin R. Hancock |
| 2011 | ICML | Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. | Jiang Su, Jelber Sayyad Shirab, Stan Matwin |
| 2009 | AI | Active Learning with Automatic Soft Labeling for Induction of Decision Trees. | Jiang Su, Jelber Sayyad-Shirabad, Stan Matwin, Jin Huang |
| 2008 | ICML | Discriminative parameter learning for Bayesian networks. | Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin |
| 2006 | AAAI | A Fast Decision Tree Learning Algorithm. | Jiang Su, Harry Zhang |
| 2006 | AI | Probabilistic Inference Trees for Classification and Ranking. | Jiang Su, Harry Zhang |
| 2006 | ICML | Full Bayesian network classifiers. | Jiang Su, Harry Zhang |
| 2005 | AAAI | Representing Conditional Independence Using Decision Trees. | Jiang Su, Harry Zhang |
| 2005 | AAAI | Hidden Naive Bayes. | Harry Zhang, Liangxiao Jiang, Jiang Su |
| 2005 | ADMA | One Dependence Augmented Naive Bayes. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
| 2005 | ADMA | Learning | Liangxiao Jiang, Harry Zhang, Jiang Su |
| 2005 | AI | Instance Cloning Local Naive Bayes. | Liangxiao Jiang, Harry Zhang, Jiang Su |
| 2005 | DASFAA | Learning Tree Augmented Naive Bayes for Ranking. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
| 2005 | ICML | Augmenting naive Bayes for ranking. | Harry Zhang, Liangxiao Jiang, Jiang Su |
| 2004 | ICDM | Learning Conditional Independence Tree for Ranking. | Jiang Su, Harry Zhang |