Mingxin Gan

发表

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

Rui Jiang, Peng He, Mingxin Gan, 2011, BMC Systems Biology.

EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model

Rui Jiang, Mingxin Gan, R. Jiang, 2019, PeerJ.

Prediction of Disease-associated Single Amino Acid Polymorphisms Based on Physiochemical Features

R. Jiang, Mingxin Gan, Jiaxin Wu, 2011 .

Extraction of Sequence Conservation Features for the Prioritization of Candidate Single Amino Acid Polymorphisms

R. Jiang, Mingxin Gan, Jiaxin Wu, 2011 .

Knowledge transfer learning from multiple user activities to improve personalized recommendation

Mingxin Gan, Yingxue Ma, 2022, Soft Computing.

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

Mingxin Gan, Lily Sun, Rui Jiang, 2017, Information Systems Frontiers.

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

R. Jiang, Mingxin Gan, Lily Sun, 2016, Journal of Computer Science and Technology.

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

Mingxin Gan, 2016, World Wide Web.

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

Rui Jiang, Jiaxin Wu, Mingxin Gan, 2011, Int. J. Comput. Biol. Drug Des..

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

Rui Jiang, Lily Sun, Mingxin Gan, 2017, Information Systems Frontiers.

FLOWER: Fusing global and local associations towards personalized social recommendation

Rui Jiang, Mingxin Gan, R. Jiang, 2018, Future Gener. Comput. Syst..

Constructing human phenome-interactome networks for the prioritization of candidate genes

Rui Jiang, Yong Chen, Wangshu Zhang, 2012 .

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

Hairong Lv, Rui Jiang, Shengquan Chen, 2018, bioRxiv.

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

Rui Jiang, Jiaxin Wu, Mingxin Gan, 2011, 2011 Seventh International Conference on Natural Computation.

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

Rui Jiang, Jiaxin Wu, Mingxin Gan, 2012, Int. J. Comput. Biol. Drug Des..

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

Qiao Liu, Rui Jiang, Mingxin Gan, 2017, BMC Systems Biology.

From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity

Rui Jiang, Mingxin Gan, Xue Dou, 2013, TheScientificWorldJournal.

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

Rui Jiang, Mingxin Gan, R. Jiang, 2013, Expert Syst. Appl..

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

Rui Jiang, Mingxin Gan, R. Jiang, 2013, Decis. Support Syst..

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

Mingxin Gan, O. C. Kwon, O. Kwon, 2022, Knowl. Based Syst..

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

Mingxin Gan, Hang Zhang, 2023, Inf. Sci..

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

Mingxin Gan, Yingxue Ma, 2023, Inf. Process. Manag..

DeepInteract: Multi-view features interactive learning for sequential recommendation

Mingxin Gan, Yingxue Ma, 2022, Expert Syst. Appl..

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

Mingxin Gan, Yingxue Ma, Mingxin Gan, 2021, Expert Syst. Appl..

Walking on a User Similarity Network towards Personalized Recommendations

Mingxin Gan, Mingxin Gan, 2014, PloS one.

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

Mingxin Gan, Yingxue Ma, Mingxin Gan, 2020, Soft Computing.

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

Mingxin Gan, Kejun Xiao, Yingxue Ma, 2019, HICSS.

COUSIN: A network-based regression model for personalized recommendations

Mingxin Gan, Mingxin Gan, 2016, Decis. Support Syst..

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

Hang Zhang, Mingxin Gan, Mingxin Gan, 2020, Complex..

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

Le Li, Mingxin Gan, Mingxin Gan, 2015, Int. J. Reason. based Intell. Syst..

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

Mingxin Gan, Yingxue Ma, Gangxin Xu, 2023, Expert Syst. Appl..

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

Mingxin Gan, Caiping Tan, 2022, World Wide Web.

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

Mingxin Gan, Hongfei Cui, Mingxin Gan, 2021, Expert Syst. Appl..

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

Mingxin Gan, Xiongtao Zhang, Danyang Li, 2023, Multimedia Tools and Applications.

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

Mingxin Gan, Kejun Xiao, Mingxin Gan, 2019, IEEE Access.

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

Rui Jiang, Mingxin Gan, R. Jiang, 2015, Expert Syst. Appl..

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

Mingxin Gan, Jieyu Ren, 2022, Knowledge and Information Systems.

Mimvec: a deep learning approach for analyzing the human phenome

Rui Jiang, Xiaojian Wang, Wanwen Zeng, 2017, BMC Systems Biology.

A Random Forest Regression-based Personalized Recommendation Method

Mingxin Gan, Yingxue Ma, Mingxin Gan, 2018, PACIS.

Improving Recommendation Performance through Ontology-Based Semantic Similarity

Rui Jiang, Mingxin Gan, Xue Dou, 2012, ICICA.

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

Rui Jiang, Lily Sun, Mingxin Gan, 2016, Journal of Computer Science and Technology.

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

Mingxin Gan, Xiongtao Zhang, 2023, Knowl. Inf. Syst..