Publications

Publications (at UO):

(A complete list of my publications can be referred to Google Scholar)

2021

Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li 2021. An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Computer Science 2(1): 32 (2021).

2020

Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li 2020. Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020). pp. 545-555, December, 2020.
Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, and Dejing Dou 2020. Adversarial Attacks on Deep Graph Matching. In Proceedings of 34th Conference on Neural Information Processing Systems (NeurIPS 2020), December, 2020.
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen 2020. Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) (long paper), pp. 8947-8956, November, 2020.
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen 2020. Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (Findings) (EMNLP (Findings) 2020). pp. 4543-4548, November, 2020.
NhatHai Phan, My Thai, Han Hu, Ruoming Jin, Tong Sun, and Dejing Dou 2020. Scalable Differential Privacy with Certified Robustness in Adversarial Learning. In Proceedings of 37th International Conference on Machine Learning (ICML 2020). pp. 7683-7694, July, 2020.
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, and Dejing Dou 2020. Ontology-based Interpretable Machine Learning for Textual Data. In Proceedings of International Joint Conference on Neural Networks (IJCNN 2020). pp. 1-10, July, 2020.
Sabin Kafle, Nisansa de Silva, and Dejing Dou 2020. An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. Information Systems Frontiers, Volume 22, Issue 5, pp. 1095-1111, 2020.
Amir Veyseh, Franck Dernoncourt, Dejing Dou, and Thien Nguyen 2020. Exploiting the Syntax-Model Consistency for Neural Relation Extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) (long paper). pp. 8021-8032, July, 2020.
Amir Veyseh, Franck Dernoncourt, My Thai, Dejing Dou, Thien Huu Nguyen 2020. Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). (Oral Presentation). pp. 9106-9113, February, 2020.
Xiao Zhang, Dejing Dou, and Ji Wu 2020. Learning Conceptual-Contextual Embeddings for Medical Text. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). pp. 9579-9586, February, 2020.
Amir Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen 2020. A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). pp. 9098-9105, February, 2020.

2019

Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, and Pengwei Wang 2019. Dual Adversarial Learning Based Network Alignment. In Proceedings of the 19th IEEE International Conference on Data Mining (ICDM 2019). pp. 1288-1293, November, 2019.
Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, and Yunyao Li 2019. Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. In Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2019), pp. 338-346, September, 2019.
Nisansa de Silva and Dejing Dou 2019. Semantic Oppositeness Embedding Using an Autoencoder-based Learning Model. In Proceedings of the 30th International Conference on Databases and Expert Systems Applications (DEXA 2019). pp. 159-174, August, 2019.
Amir Veyseh, Thien Huu Nguyen, and Dejing Dou 2019c. Rumor Detection in Social Networks via Deep Contextual Modeling. In Proceedings of the 2019 IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019). pp. 113-120, August, 2019.
NhatHai Phan, Minh Vu, Yang Liu, Ruoming Jin, Xintao Wu, Dejing Dou, and My T. Thai 2019. Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 4753-4759, August, 2019.
Amir Veyseh, Thien Huu Nguyen, and Dejing Dou 2019a. Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 5153-5159, August, 2019.
Xiao Zhang, Ji Wu, and Dejing Dou 2019. Delta Embedding Learning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (short paper), pp. 3329-3334, July/August, 2019.
Amir Veyseh, Thien Huu Nguyen, and Dejing Dou 2019b. Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (short paper), pp. 4393-4399, July/August, 2019.

2018

Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, and Pengwei Wang 2018. Density-adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. In Proceedings of the 18th IEEE International Conference on Data Mining (ICDM 2018) (short paper). pp. 1464-1469, November, 2018.
Javid Ebrahimi, Daniel Lowd, and Dejing Dou 2018. On Adversarial Examples for Character-Level Neural Machine Translation. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018). (Area Chair Favorites) pp. 653-663, August, 2018.
Javid Ebrahimi, Anyi Raoyi, Daniel Lowd, and Dejing Dou 2018. HotFlip: White-Box Adversarial Examples for Text Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018) (short paper), pp. 31-36, July, 2018.
Pengwei Wang, Lei Ji, Jun Yan, Dejing Dou, Nisansa De Silva, Yong Zhang, Lianwen Jin 2018. Concept and Attention Based CNN for Question Retrieval in Multi-View Learning. ACM Transactions on Intelligent Systems and Technology, Volume 9, Issue 4, Article 41, 2018.

2017

Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, and Brigitte Piniewski 2017. Time-Sensitive Behavior Prediction in a Health Social Network. In Proceedings of the 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017) (short paper), pp. 1083-1088, December 2017.
NhatHai Phan, Xintao Wu, Han Hu, and Dejing Dou 2017. Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. In Proceedings of the 17th IEEE International Conference on Data Mining (ICDM 2017), pp. 385-394, November, 2017. updated arXiv version
Amir Veyseh, Javid Ebrahimi, Dejing Dou, and Daniel Lowd 2017. A Temporal Attentional Model for Rumor Stance Classification. In Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM 2017) (short paper), pp. 2335-2338, November, 2017.
NhatHai Phan, Xintao Wu, and Dejing Dou 2017. Preserving Differential Privacy in Convolutional Deep Belief Networks. Machine Learning Journal, Volume 106, Number 9-10, pp. 1681-1704, 2017. updated arXiv version
Nisansa de Silva, Dejing Dou, and Jingshan Huang 2017. Discovering inconsistencies in PubMed abstracts through Ontology-based Information Extraction. In Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2017), pp. 362-371, August, 2017.
Fernando Gutierrez, Dejing Dou, Nisansa de Silva, Steven Fickas 2017. Online Reasoning for Semantic Error Detection in Text. Journal on Data Semantics, Volume 6, Number 3, pp.139-153, 2017.
NhatHai Phan, Dejing Dou*, Hao Wang, David Kil, and Brigitte Piniewski 2017. Ontology-based deep learning for human behavior prediction with explanations in health social networks. Information Sciences - Elsevier, Volume 384, pp. 298-313, 2017. (*Corresponding author)

2016

Javid Ebrahimi, Dejing Dou, Daniel Lowd 2016. A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 2656-2665, December 2016.
Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, and Brigitte Piniewski 2016. Interaction Network Representations for Human Behavior Prediction. In Proceedings of the 15th IEEE International Conference on Machine Learning and Applications (ICMLA 2016), pp. 87-93, December 2016.
Javid Ebrahimi, Dejing Dou, and Daniel Lowd 2016. Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016) (short paper), pp. 1012-1017, November, 2016.
Javid Ebrahimi and Dejing Dou 2016. Personalized Semantic Word Vectors. In Proceedings of the 25th ACM Conference on Information and Knowledge Management (CIKM 2016) (short paper), pp. 1925-1928, October, 2016.
Shangpu Jiang, Daniel Lowd, Sabin Kafle, and Dejing Dou 2016 Ontology Matching with Knowledge Rules. LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems, Volume 28, pp. 75-95, 2016.
Hao Wang, Dejing Dou, and Daniel Lowd 2016. Ontology-based Deep Restricted Boltzmann Machine. In Proceedings of the 27th International Conference on Database and Expert Systems Applications (DEXA 2016). pp. 431-445, September, 2016. [bib]
Sabin Kafle and Dejing Dou 2016. A Heterogeneous Clustering Approach for Human Activity Recognition. In Proceedings of the 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2016). pp. 68-81, September, 2016. [bib]
Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, and David Kil 2016. Characterizing Physical Activity in a Health Social Network. In Proceedings of the 6th ACM International Conference on Digital Health (DH 2016). pp. 123-129, April, 2016. [bib]
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, and Dejing Dou* 2016. Topic-aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Transactions on Intelligent Systems and Technology, Volume 8, Number 1, Article 2, 2016. (*Corresponding author)
Shangpu Jiang, Daniel Lowd, and Dejing Dou 2016. A Probabilistic Approach to Knowledge Translation . In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16). (Oral Presentation). pp. 1716-1722, February, 2016. [bib]
NhatHai Phan, Yue Wang, Xintao Wu, and Dejing Dou 2016. Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16). (Oral Presentation). pp. 1309-1316, February, 2016. [bib]

2015

Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, and Dejing Dou* 2015. Dynamic Socialized Gaussian Process Models for Human Behavior Prediction in a Health Social Network. Knowledge and Information Systems, Volume 49, Number 2, pp. 455-479, 2016. (*Corresponding author)
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, and Dejing Dou* 2015. Topic-aware Physical Activity Propagation in a Health Social Network. IEEE Intelligent Systems, special issue on Online Behavioral Analysis. Volume 31, Issue 1, pp. 5-14, 2016. (*Corresponding author) [bib]
Fernando Gutierrez, Dejing Dou, Stephen Fickas, Daya Wimalasuriya, and Hui Zong 2015. A Hybrid Ontology-based Information Extraction System. Journal of Information Science, Volume 42, Number 6, pp. 798-820, 2016.
NhatHai Phan, Dejing Dou, Hao Wang, David Kil, and Brigitte Piniewski 2015. Ontology-based Deep Learning for Human Behavior Prediction in Health Social Networks. In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. (ACM BCB 2015). pp. 433-442, 2015. [bib]
NhatHai Phan, Dejing Dou, Brigitte Piniewski, and David Kil 2015. Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015). pp. 424-431, 2015. [bib]
Shangpu Jiang, Daniel Lowd, and Dejing Dou 2015. Ontology Matching with Knowledge Rules. In Proceedings of the 26th International Conference on Database and Expert Systems Applications (DEXA 2015). (Best Paper Award). pp. 94-108, 2015. [bib]
Hao Wang, Dejing Dou, Yue Fang, and Yongli Zhang 2015. Mining Strongly Correlated Intervals with Hypergraphs. In Proceedings of the 26th International Conference on Database and Expert Systems Applications (DEXA 2015). (short paper). pp. 339-348, 2015. [bib]
Javid Ebrahimi and Dejing Dou 2015. Chain Based RNN for Relation Classification. In Proceedings of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2015). (short paper), pp. 1244-1249, 2015. [bib]
Dejing Dou, Hao Wang, and Haishan Liu 2015. Semantic Data Mining: A Survey of Ontology-based Approaches. In Proceedings of the 9th IEEE Conference on Semantic Computing (ICSC 2015). (Invited Paper), pp. 244-251, 2015. [bib]

2014

Hao Wang, Tania Tudorache, Dejing Dou, Natalya F. Noy, and Mark A. Musen 2014. Analysis and Prediction of User Editing Patterns in Ontology Development Projects. Journal on Data Semantics. Volume 4, Number 2, pp. 117-132, 2015. [bib]
NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, and David Kil 2014. Analysis of Physical Activity Propagation in a Health Social Network. In Proceedings of the 23rd ACM Conference on Information and Knowledge Management (CIKM 2014). pp. 1329-1338, 2014. [bib]
Fernando Gutierrez, Dejing Dou, Steven Fickas, and Gina Griffiths 2014. Online Reasoning for Ontology-based Error Detection in Text. In Proceedings of the 13th International Conference on Ontologies, Databases and Application of Semantics (ODBASE 2014). pp. 562-579, 2014. [bib]

2013

Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, and Nigam Shah 2013. Mining Biomedical Ontologies and Data Using Hypergraphs. In Proceedings of the 12th IEEE International Conference on Machine Learning and Applications (ICMLA 2013). pp. 141-146, 2013. [bib]
Fernando Gutierrez, Dejing Dou, Adam Martini, Steven Fickas, and Hui Zong 2013. Hybrid Ontology-based Information Extraction for Automated Text Grading. In Proceedings of the 12th IEEE International Conference on Machine Learning and Applications (ICMLA 2013) (short paper). pp. 359-364, 2013. [bib]
Hao Wang, Tania Tudorache, Dejing Dou, Natalya F. Noy, and Mark A. Musen 2013. Analysis of User Editing Patterns in Ontology Development Projects. In Proceedings of the 12th International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2013). LNCS 8185, pp. 470-487, 2013. [bib]

2012

Shangpu Jiang, Daniel Lowd, and Dejing Dou 2012. Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM 2012) (short paper). pp. 912-917, 2012. [bib]
Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, and David Kil 2012. Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM 2012) (short paper). pp. 1110-1115, 2012. [bib]
Fernando Gutierrez, Dejing Dou, Steven Fickas, and Gina Griffiths 2012. Providing Grades and Feedback for Student Summaries by Ontology-based Information Extraction. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012) (short paper). pp. 1722-1726, 2012. [bib]
Shangpu Jiang, Daniel Lowd, and Dejing Dou 2012. Using Markov Logic to Refine an Automatically Extracted Knowledge Base. In Proceedings of 2nd Statistical Relational AI Workshop at UAI '12 (StaRAI-12) (workshop version of the ICDM paper). 2012. [bib]
Nafisa Afrin Chowdhury and Dejing Dou 2012. Evaluating Ontology Matchers Using Arbitrary Ontologies and Human Generated Heterogeneities. In Proceedings of the International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2012). LNCS 7566, pp. 664-681, 2012. [bib]
Haishan Liu, Dejing Dou, and Hao Wang 2012. Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Metaheuristics. Journal on Data Semantics, Volume 1, Number 2, Pages 133-145, 2012. [bib]
Haishan Liu, Gwen Frishkoff, Robert Frank, and Dejing Dou 2012. Sharing and Integration of Cognitive Neuroscience Data: Metric and Pattern Matching across Heterogeneous ERP Datasets. Neurocomputing, Volume 92, September 2012, Pages 156-169, 2012. [bib]

2011

Haishan Liu, Paea LePendu, Ruoming Jin, and Dejing Dou 2011. A Hypergraph-based Method for Discovering Semantically Associated Itemsets. In Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011). pp. 398-406, 2011. [bib]
Chang-Hwan Lee, Fernando Gutierrez, and Dejing Dou 2011. Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure. In Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011) (short paper). pp. 1146-1151, 2011. [bib]
Paea LePendu and Dejing Dou 2011. Using Ontology Databases for Scalable Query Answering, Inconsistency Detection, and Data Integration. Journal of Intelligent Information Systems (JIIS). Volume 37, No. 2, pp. 217-244, 2011. [bib]
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. [bib]
Nafisa Afrin Chowdhury and Dejing Dou 2011. Improving the Accuracy of Ontology Alignment through Ensemble Fuzzy Clustering. In Proceedings of the International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2011) (short paper). LNCS 7045, pp. 826-833, 2011. [bib]
Fernando Gutierrez, Daya C. Wimalasuriya, and Dejing Dou 2011. Using Information Extractors with the Neural ElectroMagnetic Ontologies. In Proceedings of the International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2011) (poster paper). LNCS 7046, pp. 31-32, 2011. [bib]
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. [bib]

2010

Han Qin, Dejing Dou and Yue Fang 2010. Financial Forecasting with Gompertz Multiple Kernel Learning. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010) (short paper). pp. 983-988, 2010. [bib]
Daya Wimalasuriya and Dejing Dou 2010. Components for Information Extraction: Ontology-Based Information Extractors and Generic Platforms. In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM 2010). pp. 9-18, 2010. [bib]
Dejing Dou, Han Qin and Paea LePendu 2010. OntoGrate: Towards Automatic Integration for Relational Databases and the Semantic Web through an Ontology-based Framework. International Journal of Semantic Computing (IJSC) . Volume 4, No. 1, pp. 123-151, 2010. [bib]
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. [bib]
Daya C. Wimalasuriya and Dejing Dou 2010. Ontology-Based Information Extraction: An Introduction and a Survey of Current Approaches. Journal of Information Science (JIS). Volume 36, Number 3, pp. 306-323, 2010. [bib]

2009

Paea LePendu, Dejing Dou and Doug Howe 2009. Detecting Inconsistencies in the Gene Ontology using Ontology Databases with Not-gadgets. In Proceedings of the International Conference on Ontologies, Databases and Application of SEmantics (ODBASE 2009). LNCS 5871, pp. 948-965, 2009. [bib]
Daya Wimalasuriya and Dejing Dou 2009. Using Multiple Ontologies in Information Extraction. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009). pp. 235-244, 2009. [bib]
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. [bib]

2008

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. [bib]
Paea LePendu, Dejing Dou, Gwen Frishkoff and Jiawei Rong 2008. Ontology Database: a New Method for Semantic Modeling and an Application to Brainwave Data. In Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008). LNCS 5069, pp. 313-330, 2008. [bib]

2007

Gwen A. Frishkoff, Robert M. Frank, Jiawei Rong, Dejing Dou, Joseph Dien and Laura K. Halderman 2007. A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns. Computational Intelligence and Neuroscience, Special Issue, EEG/MEG Analysis and Signal Processing. Volume 7, Number 3, pp. 1-13, 2007. [bib]
Han Qin, Dejing Dou and Paea LePendu 2007. Discovering Executable Semantic Mappings Between Ontologies. In Proceedings of International Conference on Ontologies, Databases and Applications of SEmantics (ODBASE 2007). LNCS 4803, pp. 832-849, 2007. [bib]
Dejing Dou, Gwen Frishkoff, Jiawei Rong, Robert Frank, Allen Malony and Don Tucker 2007. Development of NeuroElectroMagnetic Ontologies (NEMO): A Framework for Mining Brainwave Ontologies. In Proceedings of 13th ACM International Conference on Knowledge Discovery and Data Mining (KDD'07). pp. 270-279, 2007 (A Candidate for Best Research Paper Award). [bib]
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, 2007. [bib]
Jiawei Rong, Dejing Dou, Gwen Frishkoff, Robert Frank, Allen Malony and Don Tucker 2007. A Semi-automatic Framework for Mining ERP Patterns. In Proceedings of the 2007 IEEE International Symposium on Data Mining and Information Retrieval (IEEE DMIR-07), pp. 329-334, 2007. [bib]
Dejing Dou, Jun Li, Han Qin, Shiwoong Kim and Sheng Zhong 2007. Understanding and Utilizing the Hierarchy of Abnormal BGP Events. In Proceedings of SIAM International Conference on Data Mining 2007 (SDM 2007) (short paper). pp. 467-472, 2007. [bib]
Daya Wimalasuriya, Sridhar Ramachandran and Dejing Dou 2007. Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels. In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining 2007 (PAKDD 2007) (short paper). LNCS 4426, pp. 912-920, 2007. [bib]

2006

Dejing Dou and Drew McDermott 2006b. Towards Theory Translation. In Post-Proceedings of the 4th International Workshop on Declarative Agent Languages and Technologies (DALT 2006) (invited paper) LNCS/LNAI 4327, pp. 16-28, 2006. [bib]
Dejing Dou, Jeff Z. Pan, Han Qin and Paea LePendu 2006. Towards Populating and Querying the Semantic Web. In Proceedings of the 2nd International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS 2006). pp. 129-142, co-located with ISWC 2006. [bib]
Dejing Dou and Drew McDermott 2006a. Deriving Axioms Across Ontologies. In Proceedings of International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS'06) (short paper). pp. 952-954, 2006. (We are invited to submit an extended version of this paper to the post-proceedings of DALT 2006.) [bib]
Dejing Dou, Paea LePendu, Shiwoong Kim and Peishen Qi 2006. Integrating Databases into the Semantic Web through an Ontology-based Framework. In Proceedings of 3rd International workshop on Semantic Web and Databases (SWDB'06). pp. 54, co-located with ICDE 2006. [bib]
Dejing Dou and Paea LePendu 2006. Ontology-based Integration for Relational Databases. In Proceedings of ACM Symposium on Applied computing (SAC'06). pp. 461-466, [bib] (A preliminary short version appeared in ODBASE 2005 as a poster paper, LNCS 3762, pp. 35-36, 2005.)

2005

Jun Li, Dejing Dou, Zhen Wu, Shiwoong Kim and Vikash Agarwal 2005. An Internet Routing Forensics Framework for Discovering Rules of Abnormal BGP Events. ACM Computer Communication Review . Volume 35, Number 5, pp. 58-66, 2005. [bib]
Dejing Dou, Drew McDermott, and Peishen Qi 2005. Ontology translation by ontology merging and automated reasoning. In Ontologies for Agents: Theory and Experiences, Springer, pp. 73-94, 2005. [bib]

2004

Dejing Dou, Drew McDermott and Peishen Qi 2004. Ontology Translation on the Semantic Web. Journal on Data Semantics, Volume II, LNCS 3360, pp. 35-57, 2005. (invited submission) [bib]

2003

Dejing Dou, Drew McDermott, and Peishen Qi 2003. Ontology Translation on the Semantic Web. In Proceedings of International Conference on Ontologies, Databases and Applications of SEmantics (ODBASE 2003). LNCS 2888, pp. 952-969, 2003. [bib] (We are invited to submit an extended version of this paper to Journal on Data Semantics.)

2002

Dejing Dou, Drew McDermott, and Peishen Qi 2002. Ontology translation by ontology merging and automated reasoning. In Proceedings of EKAW2002 Workshop on Ontologies for Multi-Agent Systems (OMAS 2002). pp. 3-18, 2002. [bib] (Extended version is in a volume of best papers from the proceedings of OAS2002, OMAS2002 and OAS2003)
Drew McDermott and Dejing Dou 2002. Representing disjunction and quantifiers in RDF. In Proceedings of International Semantic Web Conference (ISWC 2002). LNCS 2342, pp. 250-263, 2002. [bib]