| 2026 | ACL | Self-Reflection Improves Safety of Large Reasoning Models. | Qiang Huang, Wei Zhai, Feng Huang, Dejing Dou |
| 2026 | ACL | AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation. | Rui Qian, Chuanhang Deng, Qiang Huang, Jian Xiong, Mingxuan Li, Yingbo Zhou, Wei Zhai, Jintao Chen, Dejing Dou |
| 2026 | ACL | AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin. | Jian Xiong, Jingbo Zhou, Jingyong Ye, Qiang Huang, Dejing Dou |
| 2025 | CVPR | Reasoning to Attend: Try to Understand How Token Works. | Rui Qian, Xin Yin, Dejing Dou |
| 2025 | ICML | Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. | Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou |
| 2024 | AAAI | G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). | Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou |
| 2024 | AAAI | FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. | Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2024 | EMNLP | Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. | Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou |
| 2024 | SDM | AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. | Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez |
| 2023 | AAAI | Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. | Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou |
| 2023 | CVPR | Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. | Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou |
| 2023 | EMNLP | Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. | Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou |
| 2023 | ICASSP | Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. | Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou |
| 2023 | ICDE | Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. | Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou |
| 2023 | ICDE | A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. | Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2023 | ICDE | Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. | Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou |
| 2023 | ICDM | ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. | Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong |
| 2023 | ICML | Fast Federated Machine Unlearning with Nonlinear Functional Theory. | Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan |
| 2023 | WWW | ColdNAS: Search to Modulate for User Cold-Start Recommendation. | Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao |
| 2023 | SIGIR | Matching Point of Interests and Travel Blog with Multi-view Information Fusion. | Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou |
| 2022 | AAAI | GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. | Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong |
| 2022 | AAAI | Efficient Device Scheduling with Multi-Job Federated Learning. | Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | EMNLP | Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. | Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong |
| 2022 | EMNLP | ClinicalT5: A Generative Language Model for Clinical Text. | Qiuhao Lu, Dejing Dou, Thien Huu Nguyen |
| 2022 | EMNLP | Simplified Graph Learning for Inductive Short Text Classification. | Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou |
| 2022 | ICASSP | Parameter-Free Style Projection for Arbitrary Image Style Transfer. | Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou |
| 2022 | ICDM | Federated Fingerprint Learning with Heterogeneous Architectures. | Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2022 | ICML | Accelerated Federated Learning with Decoupled Adaptive Optimization. | Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou |
| 2022 | ICPP | FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. | Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou |
| 2022 | IJCAI | FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. | Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | IJCNN | Time-aware Neural Trip Planning Reinforced by Human Mobility. | Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou |
| 2022 | IROS | Learning Moving-Object Tracking with FMCW LiDAR. | Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong |
| 2022 | MICCAI | MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. | Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou |
| 2022 | NAACL | RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. | Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou |
| 2022 | SIGIR | Recognizing Medical Search Query Intent by Few-shot Learning. | Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou |
| 2022 | SIGIR | CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. | Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2021 | AAAI | Temporal Relational Modeling with Self-Supervision for Action Segmentation. | Dong Wang, Di Hu, Xingjian Li, Dejing Dou |
| 2021 | AAAI | Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. | Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou |
| 2021 | AAAI | Community-Aware Multi-Task Transportation Demand Prediction. | Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong |
| 2021 | AAAI | C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. | Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou |
| 2021 | AAAI | Out-of-Town Recommendation with Travel Intention Modeling. | Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong |
| 2021 | CIKM | CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. | Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou |
| 2021 | CVPR | Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. | Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou |
| 2021 | CVPR | ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. | Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo |
| 2021 | EACL | Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks. | Nisansa de Silva, Dejing Dou |
| 2021 | EMNLP | Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models. | Qiuhao Lu, Dejing Dou, Thien Huu Nguyen |
| 2021 | EMNLP | Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. | Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou |
| 2021 | EMNLP | Adversarial Attack against Cross-lingual Knowledge Graph Alignment. | Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan |
| 2021 | EuroPar | Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. | Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou |
| 2021 | ICCV | Semi-Supervised Active Learning with Temporal Output Discrepancy. | Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou |
| 2021 | ICML | Integrated Defense for Resilient Graph Matching. | Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou |
| 2021 | ICML | Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. | Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan |
| 2021 | KDD | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. | Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
| 2021 | KDD | JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. | Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong |
| 2021 | KDD | Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. | Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong |
| 2021 | NAACL | Noise Stability Regularization for Improving BERT Fine-tuning. | Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo |
| 2021 | WWW | Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. | Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong |
| 2021 | SIGIR | Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. | Qiuhao Lu, Thien Huu Nguyen, Dejing Dou |
| 2021 | SDM | AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu |
| 2020 | AAAI | A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. | Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen |
| 2020 | AAAI | Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction. | Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen |
| 2020 | AAAI | Learning Conceptual-Contextual Embeddings for Medical Text. | Xiao Zhang, Dejing Dou, Ji Wu |
| 2020 | ACL | Exploiting the Syntax-Model Consistency for Neural Relation Extraction. | Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen |
| 2020 | BMVC | Neighbours Matter: Image Captioning with Similar Images. | Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou |
| 2020 | COLING | Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. | Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li |
| 2020 | ECCV | Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. | Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou |
| 2020 | EMNLP | Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. | Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen |
| 2020 | EMNLP | Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. | Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen |
| 2020 | ICDM | Robust Meta Network Embedding against Adversarial Attacks. | Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee |
| 2020 | ICDM | Rethinking Local Community Detection: Query Nodes Replacement. | Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang |
| 2020 | ICLR | Pay Attention to Features, Transfer Learn Faster CNNs. | Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu |
| 2020 | ICML | RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. | Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou |
| 2020 | ICML | Scalable Differential Privacy with Certified Robustness in Adversarial Learning. | NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou |
| 2020 | IJCAI | Generating Person Images with Appearance-aware Pose Stylizer. | Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou |
| 2020 | IJCNN | Ontology-based Interpretable Machine Learning for Textual Data. | Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou |
| 2019 | ACL | Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures. | Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou |
| 2019 | ACL | Delta Embedding Learning. | Xiao Zhang, Ji Wu, Dejing Dou |
| 2019 | DEXA | Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model. | Nisansa de Silva, Dejing Dou |
| 2019 | ICDM | Dual Adversarial Learning Based Network Alignment. | Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang |
| 2019 | IJCAI | Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. | NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai |
| 2019 | IJCAI | Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. | Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou |
| 2019 | IRI | An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. | Sabin Kafle, Nisansa de Silva, Dejing Dou |
| 2018 | ACL | HotFlip: White-Box Adversarial Examples for Text Classification. | Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou |
| 2018 | COLING | On Adversarial Examples for Character-Level Neural Machine Translation. | Javid Ebrahimi, Daniel Lowd, Dejing Dou |
| 2018 | ICDM | Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. | Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang |
| 2018 | ICTAI | Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. | Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan |
| 2017 | CIKM | A Temporal Attentional Model for Rumor Stance Classification. | Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2017 | ICDM | Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. | NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou |
| 2017 | ICMLA | Time-Sensitive Behavior Prediction in a Health Social Network. | Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski |
| 2016 | AAAI | A Probabilistic Approach to Knowledge Translation. | Shangpu Jiang, Daniel Lowd, Dejing Dou |
| 2016 | AAAI | Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. | NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou |
| 2016 | CIKM | Personalized Semantic Word Vectors. | Javid Ebrahimi, Dejing Dou |
| 2016 | COLING | A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. | Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2016 | DaWaK | A Heterogeneous Clustering Approach for Human Activity Recognition. | Sabin Kafle, Dejing Dou |
| 2016 | DEXA | Ontology-Based Deep Restricted Boltzmann Machine. | Hao Wang, Dejing Dou, Daniel Lowd |
| 2016 | EMNLP | Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. | Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2016 | ICMLA | Interaction Network Representations for Human Behavior Prediction. | Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski |
| 2015 | DEXA | Ontology Matching with Knowledge Rules. | Shangpu Jiang, Daniel Lowd, Dejing Dou |
| 2015 | DEXA | Mining Strongly Correlated Intervals with Hypergraphs. | Hao Wang, Dejing Dou, Yue Fang, Yongli Zhang |
| 2015 | NAACL | Chain Based RNN for Relation Classification. | Javid Ebrahimi, Dejing Dou |
| 2014 | CIKM | Analysis of Physical Activity Propagation in a Health Social Network. | NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil |
| 2013 | ICMLA | Hybrid Ontology-Based Information Extraction for Automated Text Grading. | Fernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong |
| 2013 | ICMLA | Mining Biomedical Ontologies and Data Using RDF Hypergraphs. | Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah |
| 2012 | CIKM | Providing grades and feedback for student summaries by ontology-based information extraction. | Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths |
| 2012 | ICDM | Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. | Shangpu Jiang, Daniel Lowd, Dejing Dou |
| 2012 | ICDM | Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. | Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil |
| 2011 | DEXA | Semantic Translation for Rule-Based Knowledge in Data Mining. | Dejing Dou, Han Qin, Haishan Liu |
| 2011 | ICDM | Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure. | Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou |
| 2011 | ICDM | A Hypergraph-based Method for Discovering Semantically Associated Itemsets. | Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou |
| 2010 | CIKM | Components for information extraction: ontology-based information extractors and generic platforms. | Daya C. Wimalasuriya, Dejing Dou |
| 2010 | ICDM | Financial Forecasting with Gompertz Multiple Kernel Learning. | Han Qin, Dejing Dou, Yue Fang |
| 2010 | PAKDD | Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data. | Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou |
| 2009 | CIKM | Using multiple ontologies in information extraction. | Daya C. Wimalasuriya, Dejing Dou |
| 2008 | SSDBM | Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data. | Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawei Rong |
| 2007 | AI | Constructing a User Preference Ontology for Anti-spam Mail Systems. | Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak |
| 2007 | AINA | A Semi-Automatic Framework for Mining ERP Patterns. | Jiawei Rong, Dejing Dou, Gwen A. Frishkoff, Robert M. Frank, Allen D. Malony, Don M. Tucker |
| 2007 | ICISS | On Knowledge-Based Classification of Abnormal BGP Events. | Jun Li, Dejing Dou, Shiwoong Kim, Han Qin, Yibo Wang |
| 2007 | KDD | Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies. | Dejing Dou, Gwen A. Frishkoff, Jiawei Rong, Robert M. Frank, Allen D. Malony, Don M. Tucker |
| 2007 | PAKDD | Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels. | Daya C. Wimalasuriya, Sridhar Ramachandran, Dejing Dou |
| 2007 | SDM | Understanding and Utilizing the Hierarchy of Abnormal BGP Events. | Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong |
| 2006 | ICDE | Integrating Databases into the Semantic Web through an Ontology-Based Framework. | Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi |
| 2006 | SAC | Ontology-based integration for relational databases. | Dejing Dou, Paea LePendu |
| 2003 | CoopIS | Ontology Translation on the Semantic Web. | Dejing Dou, Drew V. McDermott, Peishen Qi |