| 2019 | ICDM | Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies. | Junqiang Liu, Xiangcai Yang, Yanjun Hu, Bo Jiang, Yong Zhang, Zhousheng Ye |
| 2015 | DaWaK | Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption. | Junqiang Liu, Jiuyong Li, Shijian Xu, Benjamin C. M. Fung |
| 2015 | DEXA | Parallel Eclat for Opportunistic Mining of Frequent Itemsets. | Junqiang Liu, Yongsheng Wu, Qingfeng Zhou, Benjamin C. M. Fung, Fanghui Chen, Binxiao Yu |
| 2012 | ICDM | Direct Discovery of High Utility Itemsets without Candidate Generation. | Junqiang Liu, Ke Wang, Benjamin C. M. Fung |
| 2010 | ICDE | On optimal anonymization for l | Junqiang Liu, Ke Wang |
| 2010 | ICDM | Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering. | Junqiang Liu, Ke Wang |
| 2010 | PAKDD | Anonymizing Transaction Data by Integrating Suppression and Generalization. | Junqiang Liu, Ke Wang |
| 2005 | AAIM | A New Method for Retrieval Based on Relative Entropy with Smoothing. | Hua Huo, Junqiang Liu, Boqin Feng |
| 2002 | KDD | Mining frequent item sets by opportunistic projection. | Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han |
| 2002 | PAKDD | Top Down FP-Growth for Association Rule Mining. | Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu |