| 2023 | KDD | Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. | Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang |
| 2021 | AAAI | GAN Ensemble for Anomaly Detection. | Xu Han, Xiaohui Chen, Li-Ping Liu |
| 2021 | ICML | Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. | Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu |
| 2017 | ICML | Zero-Inflated Exponential Family Embeddings. | Li-Ping Liu, David M. Blei |
| 2016 | IJCAI | Transductive Optimization of Top k Precision. | Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou |
| 2014 | ICML | Learnability of the Superset Label Learning Problem. | Li-Ping Liu, Thomas G. Dietterich |
| 2014 | ICML | Gaussian Approximation of Collective Graphical Models. | Li-Ping Liu, Daniel Sheldon, Thomas G. Dietterich |
| 2012 | SDM | Constructing Training Sets for Outlier Detection. | Li-Ping Liu, Xiaoli Z. Fern |
| 2011 | AAAI | Incorporating Boosted Regression Trees into Ecological Latent Variable Models. | Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich |
| 2009 | ICDM | Least Square Incremental Linear Discriminant Analysis. | Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou |
| 2008 | ICDM | TEFE: A Time-Efficient Approach to Feature Extraction. | Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou |