Can Wang

Orcid: 0000-0002-2890-0057

Affiliations:
  • Griffith University, Australia
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sandy Bay, TAS, Australia
  • University of Technology, Sydney, Advanced Analytics Institute, NSW, Australia (PhD 2013)


According to our database1, Can Wang authored at least 76 papers between 2010 and 2024.

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Bibliography

2024
Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field.
Knowl. Based Syst., 2024

Embracing LLMs for Point-of-Interest Recommendations.
IEEE Intell. Syst., 2024

2023
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model.
Future Gener. Comput. Syst., December, 2023

AffinityVAE: A multi-objective model for protein-ligand affinity prediction and drug design.
Comput. Biol. Chem., December, 2023

Interdependence analysis on heterogeneous data via behavior interior dimensions.
Knowl. Based Syst., November, 2023

Enabling inductive knowledge graph completion via structure-aware attention network.
Appl. Intell., November, 2023

Item trend learning for sequential recommendation system using gated graph neural network.
Neural Comput. Appl., June, 2023

Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW), January, 2023

Coevolution modeling of group behavior and opinion based on public opinion perception.
Knowl. Based Syst., 2023

Global-Aware External Attention Deep Model for Sequential Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling.
Proceedings of the IEEE International Conference on Data Mining, 2023

An in-depth analysis of robustness and accuracy of recommendation systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

How Does ChatGPT Affect Fake News Detection Systems?
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
SSLE: A framework for evaluating the "Filter Bubble" effect on the news aggregator and recommenders.
World Wide Web, 2022

Collaborative representation learning for nodes and relations via heterogeneous graph neural network.
Knowl. Based Syst., 2022

An influence maximization method based on crowd emotion under an emotion-based attribute social network.
Inf. Process. Manag., 2022

Enhancing recommender ensemble by estimating input fitness.
Comput. Electr. Eng., 2022

An efficient two-factor authentication scheme based on negative databases: Experiments and extensions.
Appl. Soft Comput., 2022

Hyperbolic Personalized Tag Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction.
ACM Trans. Internet Techn., 2021

Learning Complex Couplings and Interactions.
IEEE Intell. Syst., 2021

Evolutionary community discovery in dynamic social networks via resistance distance.
Expert Syst. Appl., 2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.
CoRR, 2021

Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

A Novel Class-wise Forgetting Detector in Continual Learning.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Three-hop velocity attenuation propagation model for influence maximization in social networks.
World Wide Web, 2020

Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets.
Knowl. Based Syst., 2020

Efficient processing of reverse nearest neighborhood queries in spatial databases.
Inf. Syst., 2020

An Impact Evaluation Framework of Personalized News Aggregation and Recommendation Systems.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TRec: Sequential Recommender Based On Latent Item Trend Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web, 2019

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex., 2019

Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution.
Proceedings of the International Joint Conference on Neural Networks, 2019

Integrating Social Circles and Network Representation Learning for Item Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Influence Maximization Based on Node Attraction Model.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

TOM: A Threat Operating Model for Early Warning of Cyber Security Threats.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Top-N Hashtag Prediction via Coupling Social Influence and Homophily.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Coupled Clustering Ensemble by Exploring Data Interdependence.
ACM Trans. Knowl. Discov. Data, 2018

Behavior-Interior-Aware User Preference Analysis Based on Social Networks.
Complex., 2018

Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

A Two-Factor Authentication Scheme based on Negative Databases.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interdependent Model for Point-of-Interest Recommendation via Social Networks.
Proceedings of the Databases Theory and Applications, 2018

2017
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim., 2017

Attributes coupling based matrix factorization for item recommendation.
Appl. Intell., 2017

2016
Special Issue on Trajectory-based Behaviour Analytics.
J. Comput. Syst. Sci., 2016

2015
Formalization and Verification of Group Behavior Interactions.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Coupled Attribute Similarity Learning on Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

A link-based approach to semantic relation analysis.
Neurocomputing, 2015

Reports from the 2015 AAAI Workshop Program.
AI Mag., 2015

Coupled Interdependent Attribute Analysis on Mixed Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Behavior Informatics: A New Perspective.
IEEE Intell. Syst., 2014

Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems.
CoRR, 2014

Bridging the Gap between Spatial Data Sources and Mashup Applications.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Coupled behavior informatics: modeling, analysis and learning
PhD thesis, 2013

Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Erratum: A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Volatility analysis via coupled Wishart process.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Coupled term-term relation analysis for document clustering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Coupled Attribute Analysis on Numerical Data.
Proceedings of the IJCAI 2013, 2013

Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
CD: A Coupled Discretization Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

CCE: A Coupled Framework of Clustering Ensembles.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Discretization Based on Positive Domain and Information Entropy.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

Coupled nominal similarity in unsupervised learning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization.
Proceedings of the Agents and Data Mining Interaction, 2011

2010
Enhanced co-occurrence distances for categorical data in unsupervised learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010


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