Mingxin Gan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Gradient Boosting

Personalized Recommendation

Top Venues

Expert Syst. Appl.

Knowl. Inf. Syst.

Publications

Xiongtao Zhang, Mingxin Gan
C-GDN: core features activated graph dual-attention network for personalized recommendation. J. Intell. Inf. Syst. 62 (2) (2024)
Mingxin Gan, Chunhua Wang, Lingling Yi, Hao Gu
Exploiting dynamic social feedback for session-based recommendation. Inf. Process. Manag. 61 (2) (2024)
Hang Zhang, Mingxin Gan
MBDL: Exploring dynamic dependency among various types of behaviors for recommendation. Inf. Syst. 124 (2024)
Xiongtao Zhang, Mingxin Gan
Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation. Knowl. Inf. Syst. 66 (1) (2024)
Mingxin Gan, Hang Zhang
VIGA: A variational graph autoencoder model to infer user interest representations for recommendation. Inf. Sci. 640 (2023)
Mingxin Gan, Caiping Tan
Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation. World Wide Web (WWW) 26 (4) (2023)
Mingxin Gan, Yingxue Ma
Mapping user interest into hyper-spherical space: A novel POI recommendation method. Inf. Process. Manag. 60 (2) (2023)
Mingxin Gan, Danyang Li, Xiongtao Zhang
A disaggregated interest-extraction network for click-through rate prediction. Multim. Tools Appl. 82 (18) (2023)
Mingxin Gan, Gangxin Xu, Yingxue Ma
A multi-behavior recommendation method exploring the preference differences among various behaviors. Expert Syst. Appl. 228 (2023)
Jieyu Ren, Mingxin Gan
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation. Knowl. Inf. Syst. 65 (1) (2023)
Xinglin Pan, Mingxin Gan
Multi-behavior recommendation based on intent learning. Multim. Syst. 29 (6) (2023)
Shanshan Hua, Mingxin Gan
Intention-aware denoising graph neural network for session-based recommendation. Appl. Intell. 53 (20) (2023)
Jing Xu, Mingxin Gan, Xiongtao Zhang
MMusic: a hierarchical multi-information fusion method for deep music recommendation. J. Intell. Inf. Syst. 61 (3) (2023)
Mingxin Gan, Yingxue Ma
DeepInteract: Multi-view features interactive learning for sequential recommendation. Expert Syst. Appl. 204 (2022)
Mingxin Gan, O. Chol Kwon
A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains. Knowl. Based Syst. 251 (2022)
Mingxin Gan, Yingxue Ma
Knowledge transfer learning from multiple user activities to improve personalized recommendation. Soft Comput. 26 (14) (2022)
Mingxin Gan, Xiangbin Yan
Introduction to the Minitrack on Big Data-driven Social Media Management. HICSS (2022)
Yingxue Ma, Mingxin Gan, Jiao Xv
Exploring the Influencing Factors of IP Film Rating by Sentiment Analysis and GMM. HICSS (2022)
Mingxin Gan, Hongfei Cui
Exploring user movie interest space: A deep learning based dynamic recommendation model. Expert Syst. Appl. 173 (2021)
O. Chol Kwon, Mingxin Gan, Xiongtao Zhang
ILFM: Item Attribute-Aware Latent Factor Model for Personalized Recommendation. PACIS (2021)
Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang
DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers. Genom. Proteom. Bioinform. 19 (4) (2021)
Xiangbin Yan, Mingxin Gan, Hua Ye
Introduction to the Minitrack on Big Data-driven Social Media Management. HICSS (2021)
Hang Zhang, Mingxin Gan, Xi Sun
Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks. ISPRS Int. J. Geo Inf. 10 (1) (2021)
Mingxin Gan, Xiongtao Zhang
Integrating Community Interest and Neighbor Semantic for Microblog Recommendation. Int. J. Web Serv. Res. 18 (2) (2021)
Yingxue Ma, Mingxin Gan
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation. Expert Syst. Appl. 185 (2021)
Yingxue Ma, Mingxin Gan
Exploring multiple spatio-temporal information for point-of-interest recommendation. Soft Comput. 24 (24) (2020)
Mingxin Gan, Hua Jonathan Ye, Xiangbin Yan
Introduction to the Minitrack on Social Media Management in Big Data Era. HICSS (2020)
Mingxin Gan, Hang Zhang
DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation. Complex. 2020 (2020)
Mingxin Gan, Kejun Xiao
R-RNN: Extracting User Recent Behavior Sequence for Click-Through Rate Prediction. IEEE Access 7 (2019)
Yingxue Ma, Mingxin Gan
Gradient Boosting Based Prediction Method for Patient Death in Hospital Treatment. ICSH (2019)
Mingxin Gan, Yingxue Ma, Kejun Xiao
CDMF: A Deep Learning Model based on Convolutional and Dense-layer Matrix Factorization for Context-Aware Recommendation. HICSS (2019)
Mingxin Gan, Lily Sun, Rui Jiang
GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations. Inf. Syst. Frontiers 21 (4) (2019)
Mingxin Gan, Ling Gao
Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks. ISPRS Int. J. Geo Inf. 8 (6) (2019)
Xiangbin Yan, Mingxin Gan, Hua Jonathan Ye
Introduction to the Minitrack on Social Media Management in Big Data Era. HICSS (2019)
Yingxue Ma, Mingxin Gan
A Random Forest Regression-based Personalized Recommendation Method. PACIS (2018)
Mingxin Gan, Ling Gao, Yang Han
Does Daily Travel Pattern Disclose People's Preference? HICSS (2018)
Mingxin Gan, Rui Jiang
FLOWER: Fusing global and local associations towards personalized social recommendation. Future Gener. Comput. Syst. 78 (2018)
Qiao Liu, Mingxin Gan, Rui Jiang
A sequence-based method to predict the impact of regulatory variants using random forest. BMC Syst. Biol. 11 (S-2) (2017)
Mingxin Gan, Wenran Li, Wanwen Zeng, Xiaojian Wang, Rui Jiang
Mimvec: a deep learning approach for analyzing the human phenome. BMC Syst. Biol. 11 (S-4) (2017)
Mingxin Gan
COUSIN: A network-based regression model for personalized recommendations. Decis. Support Syst. 82 (2016)
Mingxin Gan
TAFFY: incorporating tag information into a diffusion process for personalized recommendations. World Wide Web 19 (5) (2016)
Mingxin Gan, Lily Sun, Rui Jiang
Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations. J. Comput. Sci. Technol. 31 (3) (2016)
Mingxin Gan, Rui Jiang
ROUND: Walking on an object-user heterogeneous network for personalized recommendations. Expert Syst. Appl. 42 (22) (2015)
Mingxin Gan, Le Li
Motif-Plus: incorporation of network motifs into top-n friendship recommendations. Int. J. Reason. based Intell. Syst. 7 (3/4) (2015)
Mingxin Gan
Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products. Comput. Math. Methods Medicine 2014 (2014)
Mingxin Gan, Rui Jiang
Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation. Expert Syst. Appl. 40 (10) (2013)
Mingxin Gan, Rui Jiang
Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities. Decis. Support Syst. 55 (3) (2013)
Mingxin Gan, Rui Jiang
Inferring semantic similarity through correlating information contents of gene ontology terms. BIBM (2013)
Yue Huang, Mingxin Gan, Rui Jiang
Ontology-Based Genes Similarity Calculation with TF-IDF. ICICA (LNCS) (2012)
Rui Jiang, Mingxin Gan, Jiaxin Wu
Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data. Int. J. Comput. Biol. Drug Des. 5 (3/4) (2012)
Mingxin Gan, Xue Dou, Rui Jiang
Improving Recommendation Performance through Ontology-Based Semantic Similarity. ICICA (LNCS) (2012)
Mingxin Gan, Xue Dou, Daoping Wang, Rui Jiang
DOPCA: A New Method for Calculating Ontology-Based Semantic Similarity. ACIS-ICIS (2011)
Jiaxin Wu, Mingxin Gan, Rui Jiang
Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines. Int. J. Comput. Biol. Drug Des. 4 (4) (2011)
Jiaxin Wu, Mingxin Gan, Rui Jiang
A genetic algorithm for optimizing subnetwork markers for the study of breast cancer metastasis. ICNC (2011)
Rui Jiang, Mingxin Gan, Peng He
Constructing a gene semantic similarity network for the inference of disease genes. BMC Syst. Biol. 5 (S-2) (2011)