2025
Meta transfer evidence deep learning for trustworthy few-shot classification.
Expert Syst. Appl., 2025
2024
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
2022
3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance.
IEEE J. Biomed. Health Informatics, 2022
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IMCHGAN: Inductive Matrix Completion With Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Inferring range of information diffusion based on historical frequent items.
Data Min. Knowl. Discov., 2022
2021
NMCMDA: neural multicategory MiRNA-disease association prediction.
Briefings Bioinform., 2021
MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.
Artif. Intell. Medicine, 2021
2020
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction.
Bioinform., 2020
Probabilistic Approaches for Social Media Analysis - Data, Community and Influence
East China Normal University Scientific Reports 11, WorldScientific, ISBN: 9789811207396, 2020
2019
Meta-path Based MiRNA-Disease Association Prediction.
Proceedings of the Database Systems for Advanced Applications, 2019
2018
A novel parallel distance metric-based approach for diversified ranking on large graphs.
Future Gener. Comput. Syst., 2018
A Vertex-Centric Graph Simulation Algorithm for Large Graphs.
Proceedings of the Big Data - 6th CCF Conference, 2018
2016
Containment of competitive influence spread in social networks.
Knowl. Based Syst., 2016
Multi-Objective Oriented Categorization Based on the Coalitional Game Theory.
Int. J. Artif. Intell. Tools, 2016
Evolutionary Analysis and Computing of the Financial Safety Net.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016
Influence Maximization for Cascade Model with Diffusion Decay in Social Networks.
Proceedings of the Social Computing, 2016
Selecting Seeds for Competitive Influence Spread Maximization in Social Networks.
Proceedings of the Social Computing, 2016
2015
A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks.
IEEE Trans. Cybern., 2015
Qualitative probabilistic network-based fusion of time-series uncertain knowledge.
Soft Comput., 2015
2014
A Theoretic Approach for Prolonging Lifetime of Wireless Sensor Networks Based on the Coalition Game Model.
Int. J. Distributed Sens. Networks, 2014
Game-Theoretic Based Distributed Scheduling Algorithms for Minimum Coverage Breach in Directional Sensor Networks.
Int. J. Distributed Sens. Networks, 2014
An approach for discovering user similarity in social networks based on the Bayesian network and MapReduce.
Proceedings of the 2014 International Conference on Behavioral, 2014
2013
A Linked Data-Based Framework for Personalized Services Information Retrieval in Smart City.
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013
An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013
Detecting Community Structures in Microblogs from Behavioral Interactions.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013
2012
A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks.
Proceedings of the Theory and Applications of Models of Computation, 2012
2011
A game theoretic approach to sensor relocation in mobile sensor networks.
Proceedings of the Seventh International Conference on Natural Computation, 2011
No Regret Learning for Sensor Relocation in Mobile Sensor Networks.
Proceedings of the Information Computing and Applications, 2011
2010
An Approach for Reducing the Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games.
J. Intell. Robotic Syst., 2010
Qualitative probabilistic networks with reduced ambiguities.
Appl. Intell., 2010
No-regret learning for cost constrained resource selection game.
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Discovering semantic associations among Web services based on the qualitative probabilistic network.
Expert Syst. Appl., 2009
2008
An adaptive Markov model for text categorization.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
2007
Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games.
Proceedings of the Third International Conference on Natural Computation, 2007
2006
An Approach for Solving Fuzzy Games.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006