| 2026 | AAAI | Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models. | Mehran Tamjidi, Hamidreza Dastmalchi, Mohammadreza Alimoradijazi, Ali Cheraghian, Aijun An, Morteza Saberi |
| 2025 | COLING | Neural Document Segmentation Using Weighted Sliding Windows with Transformer Encoders. | Saeed Abbasi, Aijun An, Heidar Davoudi, Ronald Di Carlantonio, Gary Farmaner |
| 2025 | EMNLP | Generating Spatial Knowledge Graphs from Automotive Diagrams for Question Answering. | Steve Bakos, Chen Xing, Heidar Davoudi, Aijun An, Ron DiCarlantonio |
| 2025 | EMNLP | GEAR: A Scalable and Interpretable Evaluation Framework for RAG-Based Car Assistant Systems. | Niloufar Beyranvand, Hamidreza Dastmalchi, Aijun An, Heidar Davoudi, Winston Chan, Ron DiCarlantonio |
| 2025 | KDD | Canada AI Day. | Filippo Maria Sposini, Aijun An |
| 2025 | WACV | Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. | Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe |
| 2024 | AI | GPU Job Scheduler with Deep Reinforcement Learning. | Junjie Deng, Aijun An, Hajer Ayadi, Yiming Shao, Hossein Pourmodheji, Hao Zhou, Michael Feiman |
| 2024 | CIKM | DAMOCRO: A Data Migration Framework Using Online Classification and Reordering. | Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu, Dariusz Jania |
| 2024 | EMNLP | Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models. | James Fletcher, Nicholas Dehnen, Seyed Nima Tayarani Bathaie, Aijun An, Heidar Davoudi, Ron DiCarlantonio, Gary Farmaner |
| 2023 | EACL | Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels. | Alireza Naeiji, Aijun An, Heidar Davoudi, Marjan Delpisheh, Muath Alzghool |
| 2023 | WWW | Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree. | Wei Yuan, Martin Dimkovski, Aijun An |
| 2021 | DSAA | Centrality-based Interpretability Measures for Graph Embeddings. | Shima Khoshraftar, Sedigheh Mahdavi, Aijun An |
| 2021 | DSAA | ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2020 | ACL | A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. | Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis |
| 2020 | AI | Question-Worthy Sentence Selection for Question Generation. | Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh, Emad Gohari |
| 2020 | COLING | Affective and Contextual Embedding for Sarcasm Detection. | Nastaran Babanejad, Heidar Davoudi, Aijun An, Manos Papagelis |
| 2020 | ICAART | Learning to Determine the Quality of News Headlines. | Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall |
| 2020 | ISNCC | Decentralized and Privacy-Preserving Key Management Model. | Reza Soltani, Uyen Trang Nguyen, Aijun An |
| 2020 | SIGIR | Leveraging Transitions of Emotions for Sarcasm Detection. | Ameeta Agrawal, Aijun An, Manos Papagelis |
| 2019 | DASC | Practical Key Recovery Model for Self-Sovereign Identity Based Digital Wallets. | Reza Soltani, Uyen Trang Nguyen, Aijun An |
| 2019 | DSAA | Dynamic Graph Embedding via LSTM History Tracking. | Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu |
| 2019 | ICDCS | Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. | Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen |
| 2019 | ICDM | Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2019 | NAACL | Content-based Dwell Time Engagement Prediction Model for News Articles. | Heidar Davoudi, Aijun An, Gordon Edall |
| 2019 | RecSys | Leveraging Emotion Features in News Recommendations. | Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis |
| 2018 | COLING | Learning Emotion-enriched Word Representations. | Ameeta Agrawal, Aijun An, Manos Papagelis |
| 2018 | ICLR | Decoupling the Layers in Residual Networks. | Ricky Fok, Aijun An, Zana Rashidi, Xiaogang Wang |
| 2018 | KDD | Adaptive Paywall Mechanism for Digital News Media. | Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall |
| 2018 | MMSP | Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation. | Mufleh Al-Shatnawi, Vida Movahedi, Amir Asif, Aijun An |
| 2018 | SIGIR | Affective Representations for Sarcasm Detection. | Ameeta Agrawal, Aijun An |
| 2017 | AAAI | Rewards Structure in Games: Learning a Compact Representation for Action Space. | Margot Lisa-Jing Yann, Yves Lesprance, Aijun An |
| 2017 | EDBT | Authority-based Team Discovery in Social Networks. | Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta |
| 2017 | PAKDD | Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement. | Yan Chen, Margot Lisa-Jing Yann, Heidar Davoudi, Joy Choi, Aijun An, Zhen Mei |
| 2017 | SDM | Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media. | Heidar Davoudi, Morteza Zihayat, Aijun An |
| 2016 | COLING | Selective Co-occurrences for Word-Emotion Association. | Ameeta Agrawal, Aijun An |
| 2016 | SIGIR | Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. | Xing Tan, Jimmy Xiangji Huang, Aijun An |
| 2015 | ICDE | Meaningful keyword search in relational databases with large and complex schema. | Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu |
| 2015 | ISMIS | Ontology-Based Topic Labeling and Quality Prediction. | Heidar Davoudi, Aijun An |
| 2014 | PAKDD | Topic Modeling Using Collapsed Typed Dependency Relations. | Elnaz Delpisheh, Aijun An |
| 2014 | SIGMOD | MeanKS: meaningful keyword search in relational databases with complex schema. | Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu |
| 2013 | KDD | Signal detection in genome sequences using complexity based features. | Mehdi Kargar, Aijun An, Nick Cercone, Kayvan Tirdad, Morteza Zihayat |
| 2013 | SDM | Finding Affordable and Collaborative Teams from a Network of Experts. | Aijun An, Mehdi Kargar, Morteza Zihayat |
| 2012 | ICDE | Efficient Top-k Keyword Search in Graphs with Polynomial Delay. | Mehdi Kargar, Aijun An |
| 2011 | AI | Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources. | Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An |
| 2011 | CIKM | Discovering top-k teams of experts with/without a leader in social networks. | Mehdi Kargar, Aijun An |
| 2011 | ICDM | TeamExp: Top-k Team Formation in Social Networks. | Mehdi Kargar, Aijun An |
| 2011 | ISMIS | Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian. | Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An |
| 2011 | ISMIS | Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers. | Dusan Stevanovic, Aijun An, Natalija Vlajic |
| 2010 | CIKM | Partial drift detection using a rule induction framework. | Damon Sotoudeh, Aijun An |
| 2010 | WWW | A quality-aware model for sales prediction using reviews. | Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An |
| 2010 | SIGIR | Medical search and classification tools for recommendation. | Xiangji Huang, Aijun An, Qinmin Hu |
| 2010 | SIGIR | S-PLASA+: adaptive sentiment analysis with application to sales performance prediction. | Yang Liu, Xiaohui Yu, Xiangji Huang, Aijun An |
| 2009 | CIKM | Diverging patterns: discovering significant frequency change dissimilarities in large databases. | Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang |
| 2008 | ER | Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. | Bill Andreopoulos, Aijun An, Xiangji Huang, Dirk Labudde |
| 2008 | ICDM | Modeling and Predicting the Helpfulness of Online Reviews. | Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu |
| 2007 | ICDM | Transitional Patterns and Their Significant Milestones. | Qian Wan, Aijun An |
| 2007 | PAKDD | Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways. | Alexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang |
| 2007 | PAKDD | Hierarchical Density-Based Clustering of Categorical Data and a Simplification. | Bill Andreopoulos, Aijun An, Xiaogang Wang |
| 2007 | SIGIR | ARSA: a sentiment-aware model for predicting sales performance using blogs. | Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu |
| 2007 | SDM | Fast Counting with AV-Space for Efficient Rule Induction. | Linyan Wang, Aijun An |
| 2006 | GRC | Efficient indirect association discovery using compact transaction databases. | Qian Wan, Aijun An |
| 2006 | ICDM | Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. | Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon |
| 2006 | ISMIS | Mining and Modeling Database User Access Patterns. | Qingsong Yao, Aijun An, Xiangji Huang |
| 2006 | PAKDD | Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. | Yang Liu, Aijun An, Xiangji Huang |
| 2006 | SIGIR | A platform for Okapi-based contextual information retrieval. | Xiangji Huang, Miao Wen, Aijun An, Yan Rui Huang |
| 2005 | DASFAA | Finding and Analyzing Database User Sessions. | Qingsong Yao, Aijun An, Xiangji Huang |
| 2005 | DaWaK | A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data. | Qingsong Yao, Xiangji Huang, Aijun An |
| 2005 | GRC | Compact transaction database for efficient frequent pattern mining. | Qian Wan, Aijun An |
| 2005 | GRC | Evaluation and automatic selection of methods for handling missing data. | Ying Zou, Aijun An, Xiangji Huang |
| 2005 | ISMIS | A Distance-Based Algorithm for Clustering Database User Sessions. | Qingsong Yao, Aijun An, Xiangji Huang |
| 2004 | DEXA | Characterizing Database User's Access Patterns. | Qingsong Yao, Aijun An |
| 2003 | AI | Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. | Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone |
| 2003 | AI | Efficient Mining of Indirect Associations Using HI-Mine. | Qian Wan, Aijun An |
| 2003 | DEXA | Using User Access Patterns for Semantic Query Caching. | Qingsong Yao, Aijun An |
| 2003 | ICDM | Objective and Subjective Algorithms for Grouping Association Rules. | Aijun An, Shakil M. Khan, Xiangji Huang |
| 2002 | CIKM | Comparison of interestingness functions for learning web usage patterns. | Xiangji Huang, Nick Cercone, Aijun An |
| 2002 | ICDM | Discovery of Interesting Association Rules from Livelink Web Log Data. | Xiangji Huang, Aijun An, Nick Cercone, Gary Promhouse |
| 2001 | AI | A Case Study for Learning from Imbalanced Data Sets. | Aijun An, Nick Cercone, Xiangji Huang |
| 2001 | ICDM | Comparisons of Classification Methods for Screening Potential Compounds. | Aijun An, Yuanyuan Wang |
| 2000 | AI | CViz: An Interactive Visualization System for Rule Induction. | Jianchao Han, Aijun An, Nick Cercone |
| 2000 | ISMIS | Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach. | Aijun An, Nick Cercone |
| 1999 | ISMIS | ORTES: The Design of a Real-Time Control Expert System. | Aijun An, Nick Cercone, Christine W. Chan |
| 1999 | PAKDD | Discretization of Continuous Attributes for Learning Classification Rules. | Aijun An, Nick Cercone |
| 1998 | AI | ELEM2: A Learning System for More Accurate Classifications. | Aijun An, Nick Cercone |
| 1997 | ICCBR | Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving. | Aijun An, Nick Cercone, Christine W. Chan |