| 2014 | ICDM | Examination of Reliability of Missing Value Recovery in Data Mining. | Shigang Liu, Honghua Dai |
| 2012 | ICDM | Reliable Knowledge Discovery with a Minimal Causal Model Inducer. | Honghua Dai, Sarah Keble-Johnston, Min Gan |
| 2011 | MDAI | Fast Mining of Non-derivable Episode Rules in Complex Sequences. | Min Gan, Honghua Dai |
| 2010 | ICDM | A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. | Min Gan, Honghua Dai |
| 2009 | AusDM | Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets. | Min Gan, Honghua Dai |
| 2008 | ICDM | A Case Study on Classification Reliability. | Honghua Dai |
| 2006 | ADMA | Integrating Local One-Class Classifiers for Image Retrieval. | Yiqing Tu, Gang Li, Honghua Dai |
| 2006 | AI | Parameter Estimation of One-Class SVM on Imbalance Text Classification. | Ling Zhuang, Honghua Dai |
| 2006 | ICDM | A Study on Reliability in Graph Discovery. | Honghua Dai |
| 2006 | ICDM | Reducing performance Bias for Unbalanced Text Mining. | Ling Zhuang, Honghua Dai |
| 2006 | PRICAI | Uncontrolled Face Recognition by Individual Stable Neural Network. | Xin Geng, Zhi-Hua Zhou, Honghua Dai |
| 2006 | PRICAI | Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning. | Ling Zhuang, Honghua Dai |
| 2005 | GECCO | Applying both positive and negative selection to supervised learning for anomaly detection. | Xiaoshu Hang, Honghua Dai |
| 2005 | ISADS | Research on train group operation model in RITS. | Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai |
| 2005 | KES | An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification. | Xiaoshu Hang, James N. K. Liu, Yu Ren, Honghua Dai |
| 2005 | KES | Intelligent Financial News Digest System. | James N. K. Liu, Honghua Dai, Lina Zhou |
| 2005 | KES | A Study of Train Group Operation Multi-agent Model Oriented to RITS. | Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia |
| 2004 | GECCO | Constructing Detectors in Schema Complementary Space for Anomaly Detection. | Xiaoshu Hang, Honghua Dai |
| 2004 | PAKDD | Ensembling MML Causal Discovery. | Honghua Dai, Gang Li, Zhi-Hua Zhou |
| 2004 | PAKDD | An Extended Negative Selection Algorithm for Anomaly Detection. | Xiaoshu Hang, Honghua Dai |
| 2004 | PAKDD | Identifying Markov Blankets Using Lasso Estimation. | Gang Li, Honghua Dai, Yiqing Tu |
| 2004 | PAKDD | On the Size of Training Set and the Benefit from Ensemble. | Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai |
| 2004 | PRICAI | Combining Extension Matrix and Integer Programming for Optimal Concept Learning. | Xiaoshu Hang, Honghua Dai |
| 2004 | PRICAI | Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. | Gang Li, Honghua Dai, Yiqing Tu, Tarkan Kurt |
| 2004 | SDM | The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. | Gang Li, Honghua Dai |
| 2003 | DIS | An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. | Xiaoshu Hang, Honghua Dai |
| 2003 | HIS | Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. | Xiaoshu Hang, Honghua Dai, E. Lanham |
| 2003 | IRI | A Web content based data mining for car consumption preference in China. | Xiaoshu Hang, Honghua Dai, Youhua Zhang |
| 2003 | SEKE | Software Warehouse and Its Management Strategies. | Honghua Dai, Wei Dai |
| 2002 | ICDM | Linear Causal Model Discovery Using the MML criterion. | Gang Li, Honghua Dai, Yiqing Tu |
| 2002 | ICDM | Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. | Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa |
| 2002 | PAKDD | An Improved Approach for the Discovery of Causal Models via MML. | Honghua Dai, Gang Li |
| 2001 | ICDM | Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. | Honghua Dai, Xiaoshu Hang, Gang Li |
| 2001 | ICDM | Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. | Gang Li, Fu Tong, Honghua Dai |
| 1999 | PAKDD | A Minimal Causal Model Learner. | Honghua Dai |
| 1998 | PAKDD | Trend Directed Learning: A Case Study. | Honghua Dai |
| 1997 | IJCAI | A Study of Causal Discovery With Weak Links and Small Samples. | Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu |
| 1996 | ICML | Causal Discovery via MML. | Chris S. Wallace, Kevin B. Korb, Honghua Dai |