• Haishan Liu, Paea LePendu, Ruoming Jin, and Dejing Dou. A Hypergraphbased Method for Discovering Semantically Associated Itemsets. In Proceedings of the 11th IEEE International Conference on Data Mining (ICDM), 2011.
• Haishan Liu and Dejing Dou 2011. Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing. In Proceedings of the International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2011). LNCS 7045, pp. 698-715, 2011.
• Dejing Dou, Han Qin, and Haishan Liu 2011. Semantic Translation for Rule-based Knowledge in Data Mining. In Proceedings of the 22nd International Conference on Database and Expert Systems Applications (DEXA 2011), part II. LNCS 6861, pp. 74-89, 2011.
• Haishan Liu. Towards Semantic Data Mining. In: Doctoral Consortium of the 9th International Semantic Web Conference (ISWC), November 2010.
• Christopher Townsend, Jingshan Huang, Dejing Dou, Shivraj Dalvi, Patrick J. Hayes, Lei He, Wen-chang Lin, Haishan Liu, Robert Rudnick and Hardik Shah. OMIT: Domain Ontology and Knowledge Acquisition in MicroRNA Target Prediction. On-The-Move Conferences 2010 (OTM): 1160-1167
• Haishan Liu, Gwen Frishkoff, Robert Frank and Dejing Dou 2010. Ontology-based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Descriptions of Patterns in Event Related Potentials (ERP) Data. In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010). LNCS 6119, pp. 43-54, 2010.
• Gwen Frishkoff, Paea LePendu, Robert Frank, Haishan Liu and Dejing Dou 2009. Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials. In Proceedings of the International Conference on Biomedical Ontology (ICBO 2009). pp. 31-34, 2009
  
• Haishan Liu and Dejing Dou 2008. An Exploration of Understanding Heterogeneity through Data Mining. In Proceedings of KDD'08 Workshop on Mining Multiple Information Sources (MMIS 2008). pp. 18-25, 2008.
  
• Jongwan Kim, Dejing Dou, Haishan Liu and Donghwi Kwak 2007. Constructing A User Preference Ontology for Anti-spam Mail Systems. In Proceedings of the 20th Canadian Conference on Artificial Intelligence (Canadian AI'07). LNCS/LNAI 4509, pp. 272-283.

Neural ElectroMagnetic Ontologies (NEMO) addresses the need for formal representation, storage, mining, and dissemination of brain electromagnetic (e.g., EEG) data. NEMO is a collaborative project with Gwen Frishkoff, Allen Malony, Don Tucker and Robert Frank at NIC (NeuroInformatics Center), EGI (Electrical Geodesics, Inc), the Department of Psychology at UO, and researchers from five EEG labs in the world. We are mining and developing several temporal, spatial and functional ontologies which are novel for the EEG neuroscience field. We are also building ontology-based databases and data integration systems for EEG/ERP data. The NEMO project is being funded with a four-year research grant by the NIH/NIBIB (Grant Number: R01EB007684 PI: Dejing Dou Co-I: Gwen Frishkoff, Allen Malony, Don Tucker).