Mingxin Gan

According to our database, Mingxin Gan authored at least 59 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sequential-hierarchical attention network: Exploring the hierarchical intention feature in POI recommendation.

Yingxue Ma, Mingxin Gan

World Wide Web (WWW), November, 2024

SocialCU: integrating commonalities and uniqueness of users and items for social recommendation.

Shuo Li, Mingxin Gan, Jing Xu

World Wide Web (WWW), November, 2024

C-GDN: core features activated graph dual-attention network for personalized recommendation.

Xiongtao Zhang, Mingxin Gan

J. Intell. Inf. Syst., April, 2024

Exploiting dynamic social feedback for session-based recommendation.

Mingxin Gan, Chunhua Wang, Lingling Yi, Hao Gu

Inf. Process. Manag., March, 2024

Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation.

Xiongtao Zhang, Mingxin Gan

Knowl. Inf. Syst., January, 2024

CGG: Category-aware global graph contrastive learning for session-based recommendation.

Mingxin Gan, Xiongtao Zhang, Yuxin Liang

Knowl. Based Syst., 2024

MBDL: Exploring dynamic dependency among various types of behaviors for recommendation.

Hang Zhang, Mingxin Gan

Inf. Syst., 2024

IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning.

Jing Xu, Mingxin Gan, Hang Zhang, Shuhao Zhang

Inf. Process. Manag., 2024

2023

Multi-behavior recommendation based on intent learning.

Xinglin Pan, Mingxin Gan

Multim. Syst., December, 2023

MMusic: a hierarchical multi-information fusion method for deep music recommendation.

Jing Xu, Mingxin Gan, Xiongtao Zhang

J. Intell. Inf. Syst., December, 2023

A multi-behavior recommendation method exploring the preference differences among various behaviors.

Mingxin Gan, Gangxin Xu, Yingxue Ma

Expert Syst. Appl., October, 2023

Intention-aware denoising graph neural network for session-based recommendation.

Shanshan Hua, Mingxin Gan

Appl. Intell., October, 2023

VIGA: A variational graph autoencoder model to infer user interest representations for recommendation.

Mingxin Gan, Hang Zhang

Inf. Sci., September, 2023

Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation.

Mingxin Gan, Caiping Tan

World Wide Web (WWW), July, 2023

A disaggregated interest-extraction network for click-through rate prediction.

Mingxin Gan, Danyang Li, Xiongtao Zhang

Multim. Tools Appl., July, 2023

Mining dynamic preferences from geographical and interactive correlations for next POI recommendation.

Jieyu Ren, Mingxin Gan

Knowl. Inf. Syst., January, 2023

Mapping user interest into hyper-spherical space: A novel POI recommendation method.

Mingxin Gan, Yingxue Ma

Inf. Process. Manag., 2023

2022

Knowledge transfer learning from multiple user activities to improve personalized recommendation.

Mingxin Gan, Yingxue Ma

Soft Comput., 2022

A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains.

Mingxin Gan, O-Chol Kwon

Knowl. Based Syst., 2022

DeepInteract: Multi-view features interactive learning for sequential recommendation.

Mingxin Gan, Yingxue Ma

Expert Syst. Appl., 2022

Exploring the Influencing Factors of IP Film Rating by Sentiment Analysis and GMM.

Yingxue Ma, Mingxin Gan, Jiao Xv

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Introduction to the Minitrack on Big Data-driven Social Media Management.

Mingxin Gan, Xiangbin Yan

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Integrating Community Interest and Neighbor Semantic for Microblog Recommendation.

Mingxin Gan, Xiongtao Zhang

Int. J. Web Serv. Res., 2021

Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks.

Hang Zhang, Mingxin Gan, Xi Sun

ISPRS Int. J. Geo Inf., 2021

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.

Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang

Genom. Proteom. Bioinform., 2021

DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation.

Yingxue Ma, Mingxin Gan

Expert Syst. Appl., 2021

Exploring user movie interest space: A deep learning based dynamic recommendation model.

Mingxin Gan, Hongfei Cui

Expert Syst. Appl., 2021

ILFM: Item Attribute-Aware Latent Factor Model for Personalized Recommendation.

O-Chol Kwon, Mingxin Gan, Xiongtao Zhang

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Introduction to the Minitrack on Big Data-driven Social Media Management.

Xiangbin Yan, Mingxin Gan, Hua Ye

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Exploring multiple spatio-temporal information for point-of-interest recommendation.

Yingxue Ma, Mingxin Gan

Soft Comput., 2020

DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation.

Mingxin Gan, Hang Zhang

Complex., 2020

Introduction to the Minitrack on Social Media Management in Big Data Era.

Mingxin Gan, Hua Jonathan Ye, Xiangbin Yan

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations.

Mingxin Gan, Lily Sun, Rui Jiang

Inf. Syst. Frontiers, 2019

Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks.

Mingxin Gan, Ling Gao

ISPRS Int. J. Geo Inf., 2019

R-RNN: Extracting User Recent Behavior Sequence for Click-Through Rate Prediction.

Mingxin Gan, Kejun Xiao

IEEE Access, 2019

Gradient Boosting Based Prediction Method for Patient Death in Hospital Treatment.

Yingxue Ma, Mingxin Gan

Proceedings of the Smart Health - International Conference, 2019

CDMF: A Deep Learning Model based on Convolutional and Dense-layer Matrix Factorization for Context-Aware Recommendation.

Mingxin Gan, Yingxue Ma, Kejun Xiao

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

FLOWER: Fusing global and local associations towards personalized social recommendation.

Mingxin Gan, Rui Jiang

Future Gener. Comput. Syst., 2018

A Random Forest Regression-based Personalized Recommendation Method.

Yingxue Ma, Mingxin Gan

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Does Daily Travel Pattern Disclose People's Preference?

Mingxin Gan, Ling Gao, Yang Han

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017

A sequence-based method to predict the impact of regulatory variants using random forest.

Qiao Liu, Mingxin Gan, Rui Jiang

BMC Syst. Biol., 2017

Mimvec: a deep learning approach for analyzing the human phenome.

Mingxin Gan, Wenran Li, Wanwen Zeng, Xiaojian Wang, Rui Jiang

BMC Syst. Biol., 2017

2016

TAFFY: incorporating tag information into a diffusion process for personalized recommendations.

Mingxin Gan

World Wide Web, 2016

Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations.

Mingxin Gan, Lily Sun, Rui Jiang

J. Comput. Sci. Technol., 2016

COUSIN: A network-based regression model for personalized recommendations.

Mingxin Gan

Decis. Support Syst., 2016

2015

Motif-Plus: incorporation of network motifs into top-n friendship recommendations.

Mingxin Gan, Le Li

Int. J. Reason. based Intell. Syst., 2015

ROUND: Walking on an object-user heterogeneous network for personalized recommendations.

Mingxin Gan, Rui Jiang

Expert Syst. Appl., 2015

2014

Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products.

Mingxin Gan

Comput. Math. Methods Medicine, 2014

2013

Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation.

Mingxin Gan, Rui Jiang

Expert Syst. Appl., 2013

Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities.

Mingxin Gan, Rui Jiang

Decis. Support Syst., 2013

Inferring semantic similarity through correlating information contents of gene ontology terms.

Mingxin Gan, Rui Jiang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data.

Rui Jiang, Mingxin Gan, Jiaxin Wu

Int. J. Comput. Biol. Drug Des., 2012

Ontology-Based Genes Similarity Calculation with TF-IDF.

Yue Huang, Mingxin Gan, Rui Jiang

Proceedings of the Information Computing and Applications - Third International Conference, 2012

Improving Recommendation Performance through Ontology-Based Semantic Similarity.

Mingxin Gan, Xue Dou, Rui Jiang

Proceedings of the Information Computing and Applications - Third International Conference, 2012

2011

Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines.

Jiaxin Wu, Mingxin Gan, Rui Jiang

Int. J. Comput. Biol. Drug Des., 2011

Constructing a gene semantic similarity network for the inference of disease genes.

Rui Jiang, Mingxin Gan, Peng He

BMC Syst. Biol., 2011

A genetic algorithm for optimizing subnetwork markers for the study of breast cancer metastasis.

Jiaxin Wu, Mingxin Gan, Rui Jiang

Proceedings of the Seventh International Conference on Natural Computation, 2011

DOPCA: A New Method for Calculating Ontology-Based Semantic Similarity.

Mingxin Gan, Xue Dou, Daoping Wang, Rui Jiang

Proceedings of the 10th IEEE/ACIS International Conference on Computer and Information Science, 2011

2009

Enterprise Isomorphic Mapping Mechanism: Towards Ontology Interoperability in EIS Development.

Mingxin Gan

Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009