Aijun An

Orcid: 0000-0003-1765-5751

According to our database1, Aijun An authored at least 175 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Survey on Graph Representation Learning Methods.
ACM Trans. Intell. Syst. Technol., February, 2024

The Role of Preprocessing for Word Representation Learning in Affective Tasks.
IEEE Trans. Affect. Comput., 2024

Topic-aware response selection for dialog systems.
Nat. Lang. Process. J., 2024

IGMG: Instance-guided multi-granularity for domain generalizable person re-identification.
Comput. Vis. Image Underst., 2024

Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources.
CoRR, 2024

Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

DAMOCRO: A Data Migration Framework Using Online Classification and Reordering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Learning to Generate Popular Headlines.
IEEE Access, 2023

Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Optimizing Data Migration Using Online Clustering.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

A Case Study on ChatGPT Question Generation.
Proceedings of the IEEE International Conference on Big Data, 2023

A Hybrid Outbreak Detection using Ontology-based Data Collection from Social Media.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Empowering Conversational Agents using Semantic In-Context Learning.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022
Temporal Graph Representation Learning via Maximal Cliques.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Paywall Policy Learning in Digital News Media.
IEEE Trans. Knowl. Data Eng., 2021

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means.
ACM Trans. Cyber Phys. Syst., 2021

A Survey of Self-Sovereign Identity Ecosystem.
Secur. Commun. Networks, 2021

ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model.
Mach. Learn., 2021

Centrality-based Interpretability Measures for Graph Embeddings.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

GPU resource scheduling using CNN-based deep reinforcement learning.
Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy.
Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

2020
Improving humanitarian needs assessments through natural language processing.
IBM J. Res. Dev., 2020

Leveraging Transitions of Emotions for Sarcasm Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Adaptive Momentum Coefficient for Neural Network Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Decentralized and Privacy-Preserving Key Management Model.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

Learning to Determine the Quality of News Headlines.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Affective and Contextual Embedding for Sarcasm Detection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Towards topology aware pre-emptive job scheduling with deep reinforcement learning.
Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

Multiple pedestrian tracking based on modified mask R-CNN and enhanced particle filter using an adaptive information driven motion model.
Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

Question-Worthy Sentence Selection for Question Generation.
Proceedings of the Advances in Artificial Intelligence, 2020

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A utility-based news recommendation system.
Decis. Support Syst., 2019

Leveraging Emotion Features in News Recommendations.
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

Dynamic Joint Variational Graph Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Content-based Dwell Time Engagement Prediction Model for News Articles.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Dynamic Graph Embedding via LSTM History Tracking.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Practical Key Recovery Model for Self-Sovereign Identity Based Digital Wallets.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection.
Adv. Eng. Informatics, 2018

Using Neural Network for Identifying Clickbaits in Online News Media.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

Affective Representations for Sarcasm Detection.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation.
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

Adaptive Paywall Mechanism for Digital News Media.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A New Approach to Client Onboarding Using Self-Sovereign Identity and Distributed Ledger.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Decoupling the Layers in Residual Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Emotion-enriched Word Representations.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

dynnode2vec: Scalable Dynamic Network Embedding.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Effective Team Formation in Expert Networks.
Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, 2018

2017
Memory-adaptive high utility sequential pattern mining over data streams.
Mach. Learn., 2017

Geodesic and contour optimization using conformal mapping.
J. Glob. Optim., 2017

Efficiently mining high utility sequential patterns in static and streaming data.
Intell. Data Anal., 2017

Spontaneous Symmetry Breaking in Neural Networks.
CoRR, 2017

Optimization assisted MCMC.
CoRR, 2017

Mining Evolving Data Streams with Particle Filters.
Comput. Intell., 2017

Mining significant high utility gene regulation sequential patterns.
BMC Syst. Biol., 2017

Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Authority-based Team Discovery in Social Networks.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Meaningful Keyword Search over Databases with Complex Schema.
Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, 2017

Rewards Structure in Games: Learning a Compact Representation for Action Space.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Approximate Parallel High Utility Itemset Mining.
Big Data Res., 2016

Detecting the Magnitude of Events from News Articles.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

A new algorithm for money laundering detection based on structural similarity.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Selective Co-occurrences for Word-Emotion Association.
Proceedings of the COLING 2016, 2016

Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding.
Proceedings of the Brain Informatics and Health - International Conference, 2016

Distributed and parallel high utility sequential pattern mining.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Deep parallelization of parallel FP-growth using parent-child MapReduce.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Top-k utility-based gene regulation sequential pattern discovery.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Finding top-<i>k, r</i>-cliques for keyword search from graphs in polynomial delay.
Knowl. Inf. Syst., 2015

A Bayesian model for canonical circuits in the neocortex for parallelized and incremental learning of symbol representations.
Neurocomputing, 2015

Ontology-Based Topic Labeling and Quality Prediction.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Meaningful keyword search in relational databases with large and complex schema.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Mining High Utility Sequential Patterns from Evolving Data Streams.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
Efficient Duplication Free and Minimal Keyword Search in Graphs.
IEEE Trans. Knowl. Data Eng., 2014

Mining top-k high utility patterns over data streams.
Inf. Sci., 2014

Two-Phase Pareto Set Discovery for Team Formation in Social Networks.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

MeanKS: meaningful keyword search in relational databases with complex schema.
Proceedings of the International Conference on Management of Data, 2014

Kea: Sentiment Analysis of Phrases Within Short Texts.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Topic Modeling Using Collapsed Typed Dependency Relations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Riding the tide of sentiment change: sentiment analysis with evolving online reviews.
World Wide Web, 2013

Detection of malicious and non-malicious website visitors using unsupervised neural network learning.
Appl. Soft Comput., 2013

Kea: Expression-level Sentiment Analysis from Twitter Data.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Finding Affordable and Collaborative Teams from a Network of Experts.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Signal detection in genome sequences using complexity based features.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

2012
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain.
IEEE Trans. Knowl. Data Eng., 2012

Feature evaluation for web crawler detection with data mining techniques.
Expert Syst. Appl., 2012

Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Efficient Bi-objective Team Formation in Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Efficient Top-k Keyword Search in Graphs with Polynomial Delay.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Keyword Search in Graphs: Finding r-cliques.
Proc. VLDB Endow., 2011

Unsupervised Clustering of Web Sessions to Detect Malicious and Non-malicious Website Users.
Proceedings of the 2nd International Conference on Ambient Systems, 2011

Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design.
Knowl. Inf. Syst., 2011

Combining integrated sampling with SVM ensembles for learning from imbalanced datasets.
Inf. Process. Manag., 2011

Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

TeamExp: Top-k Team Formation in Social Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Discovering top-k teams of experts with/without a leader in social networks.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Introduction to the special issue on advanced information retrieval and databases.
J. Intell. Inf. Syst., 2010

A quality-aware model for sales prediction using reviews.
Proceedings of the 19th International Conference on World Wide Web, 2010

An Adaptive Model for Probabilistic Sentiment Analysis.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

S-PLASA+: adaptive sentiment analysis with application to sales performance prediction.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Medical search and classification tools for recommendation.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Partial drift detection using a rule induction framework.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks.
Proceedings of the Brain Informatics, International Conference, 2010

Evaluation of different complexity measures for signal detection in genome sequences.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Classification Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases.
IEEE Trans. Knowl. Data Eng., 2009

Efficient layered density-based clustering of categorical data.
J. Biomed. Informatics, 2009

A roadmap of clustering algorithms: finding a match for a biomedical application.
Briefings Bioinform., 2009

Diverging patterns: discovering significant frequency change dissimilarities in large databases.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Discovering Temporal Associations among Significant Changes in Gene Expression.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Modeling and Predicting the Helpfulness of Online Reviews.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web.
Proceedings of the Advances in Conceptual Modeling - Challenges and Opportunities, 2008

2007
Personalized recommendation with adaptive mixture of markov models.
J. Assoc. Inf. Sci. Technol., 2007

Clustering large software systems at multiple layers.
Inf. Softw. Technol., 2007

Finding molecular complexes through multiple layer clustering of protein interaction networks.
Int. J. Bioinform. Res. Appl., 2007

Clustering by common friends finds locally significant proteins mediating modules.
Bioinform., 2007

ARSA: a sentiment-aware model for predicting sales performance using blogs.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Fast Counting with AV-Space for Efficient Rule Induction.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Hierarchical Density-Based Clustering of Categorical Data and a Simplification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Transitional Patterns and Their Significant Milestones.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Applying language modeling to session identification from database trace logs.
Knowl. Inf. Syst., 2006

An efficient approach to mining indirect associations.
J. Intell. Inf. Syst., 2006

Hierarchical grouping of association rules and its application to a real-world domain.
Int. J. Syst. Sci., 2006

Bi-level clustering of mixed categorical and numerical biomedical data.
Int. J. Data Min. Bioinform., 2006

York University at TREC 2006: Enterprise Email Discussion Search.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

A platform for Okapi-based contextual information retrieval.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Mining and Modeling Database User Access Patterns.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Efficient indirect association discovery using compact transaction databases.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
Multiple Layer Clustering of Large Software Systems.
Proceedings of the 12th Working Conference on Reverse Engineering, 2005

York University at TREC 2005: HARD Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

York University at TREC 2005: SPAM Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

A Distance-Based Algorithm for Clustering Database User Sessions.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example.
Proceedings of the IQIS 2005, 2005

Evaluation and automatic selection of methods for handling missing data.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Compact transaction database for efficient frequent pattern mining.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Representing UML Snowflake Diagram from Integrating XML Data Using XML Schema.
Proceedings of the 2005 International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005), 2005

A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Finding and Analyzing Database User Sessions.
Proceedings of the Database Systems for Advanced Applications, 2005

2004
Feature Selection with Rough Sets for Web Page Classification.
Trans. Rough Sets, 2004

Dynamic Web log session identification with statistical language models.
J. Assoc. Inf. Sci. Technol., 2004

Clustering Web Surfers with Probabilistic Models in a Real Application.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Characterizing Database User's Access Patterns.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003
SQL-Relay: An Event-Driven Rule-Based Database Gateway.
Proceedings of the Advances in Web-Age Information Management, 2003

Objective and Subjective Algorithms for Grouping Association Rules.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Using User Access Patterns for Semantic Query Caching.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

Efficient Mining of Indirect Associations Using HI-Mine.
Proceedings of the Advances in Artificial Intelligence, 2003

Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
From Computational Intelligence to Web Intelligence.
Computer, 2002

Discovery of Interesting Association Rules from Livelink Web Log Data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Comparison of interestingness functions for learning web usage patterns.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Rule Quality Measures for Rule Induction Systems: Description and Evaluation.
Comput. Intell., 2001

Comparisons of Classification Methods for Screening Potential Compounds.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

A Case Study for Learning from Imbalanced Data Sets.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Probability-Based Chinese Text Processing and Retrieval.
Comput. Intell., 2000

Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

CViz: An Interactive Visualization System for Rule Induction.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous.
IEEE Trans. Knowl. Data Eng., 1999

An Empirical Study on Rule Quality Measures.
Proceedings of the New Directions in Rough Sets, 1999

Discretization of Continuous Attributes for Learning Classification Rules.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

ORTES: The Design of a Real-Time Control Expert System.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

1998
ELEM2: A Learning System for More Accurate Classifications.
Proceedings of the Advances in Artificial Intelligence, 1998

1997
Applying Knowledge Discovery to Predict Water-Supply Consumption.
IEEE Expert, 1997

Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving.
Proceedings of the Case-Based Reasoning Research and Development, 1997

1994
Object-Oriented Modelling and Simulation of an Expert System for Monitoring and Control of a Water Distribution System.
Proceedings of the 1994 International Conference on Object Oriented Information Systems, 1994


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