Mingxin Gan - RankMe

63 papers Misc 1Journal 47Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A self-supervised graph-learning method for reliable-relation identification in social recommendation. World Wide Web (WWW) Hang Zhang, Mingxin Gan
2025	J	`jnl`	Dual-evolution: a deep sequence learning model exploring dual-side evolutions for movie recommendation. Electron. Commer. Res. Mingxin Gan, Xiongtao Zhang, Wenyu Wang
2025	J	`jnl`	Modeling category and multi-level user intentions for session-based recommendation. Eng. Appl. Artif. Intell. Shanshan Hua, Mingxin Gan, Menghan Li
2024	J	`jnl`	C-GDN: core features activated graph dual-attention network for personalized recommendation. J. Intell. Inf. Syst. Xiongtao Zhang, Mingxin Gan
2024	J	`jnl`	CGG: Category-aware global graph contrastive learning for session-based recommendation. Knowl. Based Syst. Mingxin Gan, Xiongtao Zhang, Yuxin Liang
2024	J	`jnl`	Exploiting dynamic social feedback for session-based recommendation. Inf. Process. Manag. Mingxin Gan, Chunhua Wang, Lingling Yi, Hao Gu
2024	J	`jnl`	Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation. Knowl. Inf. Syst. Xiongtao Zhang, Mingxin Gan
2024	J	`jnl`	IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning. Inf. Process. Manag. Jing Xu, Mingxin Gan, Hang Zhang, Shuhao Zhang
2024	J	`jnl`	MBDL: Exploring dynamic dependency among various types of behaviors for recommendation. Inf. Syst. Hang Zhang, Mingxin Gan
2024	J	`jnl`	Sequential-hierarchical attention network: Exploring the hierarchical intention feature in POI recommendation. World Wide Web (WWW) Yingxue Ma, Mingxin Gan
2024	J	`jnl`	SocialCU: integrating commonalities and uniqueness of users and items for social recommendation. World Wide Web (WWW) Shuo Li, Mingxin Gan, Jing Xu
2023	J	`jnl`	A disaggregated interest-extraction network for click-through rate prediction. Multim. Tools Appl. Mingxin Gan, Danyang Li, Xiongtao Zhang
2023	J	`jnl`	A multi-behavior recommendation method exploring the preference differences among various behaviors. Expert Syst. Appl. Mingxin Gan, Gangxin Xu, Yingxue Ma
2023	J	`jnl`	Intention-aware denoising graph neural network for session-based recommendation. Appl. Intell. Shanshan Hua, Mingxin Gan
2023	J	`jnl`	MMusic: a hierarchical multi-information fusion method for deep music recommendation. J. Intell. Inf. Syst. Jing Xu, Mingxin Gan, Xiongtao Zhang
2023	J	`jnl`	Mapping user interest into hyper-spherical space: A novel POI recommendation method. Inf. Process. Manag. Mingxin Gan, Yingxue Ma
2023	J	`jnl`	Mining dynamic preferences from geographical and interactive correlations for next POI recommendation. Knowl. Inf. Syst. Jieyu Ren, Mingxin Gan
2023	J	`jnl`	Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation. World Wide Web (WWW) Mingxin Gan, Caiping Tan
2023	J	`jnl`	Multi-behavior recommendation based on intent learning. Multim. Syst. Xinglin Pan, Mingxin Gan
2023	J	`jnl`	VIGA: A variational graph autoencoder model to infer user interest representations for recommendation. Inf. Sci. Mingxin Gan, Hang Zhang
2022	J	`jnl`	A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains. Knowl. Based Syst. Mingxin Gan, O-Chol Kwon
2022	J	`jnl`	DeepInteract: Multi-view features interactive learning for sequential recommendation. Expert Syst. Appl. Mingxin Gan, Yingxue Ma
2022	—	`conf`	Exploring the Influencing Factors of IP Film Rating by Sentiment Analysis and GMM. HICSS Yingxue Ma, Mingxin Gan, Jiao Xv
2022	—	`conf`	Introduction to the Minitrack on Big Data-driven Social Media Management. HICSS Mingxin Gan, Xiangbin Yan
2022	J	`jnl`	Knowledge transfer learning from multiple user activities to improve personalized recommendation. Soft Comput. Mingxin Gan, Yingxue Ma
2021	J	`jnl`	DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation. Expert Syst. Appl. Yingxue Ma, Mingxin Gan
2021	J	`jnl`	DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers. Genom. Proteom. Bioinform. Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang
2021	J	`jnl`	Exploring user movie interest space: A deep learning based dynamic recommendation model. Expert Syst. Appl. Mingxin Gan, Hongfei Cui
2021	—	`conf`	ILFM: Item Attribute-Aware Latent Factor Model for Personalized Recommendation. PACIS O-Chol Kwon, Mingxin Gan, Xiongtao Zhang
2021	J	`jnl`	Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks. ISPRS Int. J. Geo Inf. Hang Zhang, Mingxin Gan, Xi Sun
2021	J	`jnl`	Integrating Community Interest and Neighbor Semantic for Microblog Recommendation. Int. J. Web Serv. Res. Mingxin Gan, Xiongtao Zhang
2021	—	`conf`	Introduction to the Minitrack on Big Data-driven Social Media Management. HICSS Xiangbin Yan, Mingxin Gan, Hua Ye
2020	J	`jnl`	DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation. Complex. Mingxin Gan, Hang Zhang
2020	J	`jnl`	Exploring multiple spatio-temporal information for point-of-interest recommendation. Soft Comput. Yingxue Ma, Mingxin Gan
2020	—	`conf`	Introduction to the Minitrack on Social Media Management in Big Data Era. HICSS Mingxin Gan, Hua Jonathan Ye, Xiangbin Yan
2019	—	`conf`	CDMF: A Deep Learning Model based on Convolutional and Dense-layer Matrix Factorization for Context-Aware Recommendation. HICSS Mingxin Gan, Yingxue Ma, Kejun Xiao
2019	J	`jnl`	Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks. ISPRS Int. J. Geo Inf. Mingxin Gan, Ling Gao
2019	J	`jnl`	GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations. Inf. Syst. Frontiers Mingxin Gan, Lily Sun, Rui Jiang
2019	—	`conf`	Gradient Boosting Based Prediction Method for Patient Death in Hospital Treatment. ICSH Yingxue Ma, Mingxin Gan
2019	—	`conf`	Introduction to the Minitrack on Social Media Management in Big Data Era. HICSS Xiangbin Yan, Mingxin Gan, Hua Jonathan Ye
2019	J	`jnl`	R-RNN: Extracting User Recent Behavior Sequence for Click-Through Rate Prediction. IEEE Access Mingxin Gan, Kejun Xiao
2018	—	`conf`	A Random Forest Regression-based Personalized Recommendation Method. PACIS Yingxue Ma, Mingxin Gan
2018	—	`conf`	Does Daily Travel Pattern Disclose People's Preference? HICSS Mingxin Gan, Ling Gao, Yang Han
2018	J	`jnl`	FLOWER: Fusing global and local associations towards personalized social recommendation. Future Gener. Comput. Syst. Mingxin Gan, Rui Jiang
2017	J	`jnl`	A sequence-based method to predict the impact of regulatory variants using random forest. BMC Syst. Biol. Qiao Liu, Mingxin Gan, Rui Jiang
2017	J	`jnl`	Mimvec: a deep learning approach for analyzing the human phenome. BMC Syst. Biol. Mingxin Gan, Wenran Li, Wanwen Zeng, Xiaojian Wang, Rui Jiang
2016	J	`jnl`	COUSIN: A network-based regression model for personalized recommendations. Decis. Support Syst. Mingxin Gan
2016	J	`jnl`	TAFFY: incorporating tag information into a diffusion process for personalized recommendations. World Wide Web Mingxin Gan
2016	J	`jnl`	Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations. J. Comput. Sci. Technol. Mingxin Gan, Lily Sun, Rui Jiang
2015	J	`jnl`	Motif-Plus: incorporation of network motifs into top-n friendship recommendations. Int. J. Reason. based Intell. Syst. Mingxin Gan, Le Li
2015	J	`jnl`	ROUND: Walking on an object-user heterogeneous network for personalized recommendations. Expert Syst. Appl. Mingxin Gan, Rui Jiang
2014	J	`jnl`	Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products. Comput. Math. Methods Medicine Mingxin Gan
2013	J	`jnl`	Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation. Expert Syst. Appl. Mingxin Gan, Rui Jiang
2013	J	`jnl`	Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities. Decis. Support Syst. Mingxin Gan, Rui Jiang
2013	—	`conf`	Inferring semantic similarity through correlating information contents of gene ontology terms. BIBM Mingxin Gan, Rui Jiang
2012	J	`jnl`	Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data. Int. J. Comput. Biol. Drug Des. Rui Jiang, Mingxin Gan, Jiaxin Wu
2012	—	`conf`	Improving Recommendation Performance through Ontology-Based Semantic Similarity. ICICA (LNCS) Mingxin Gan, Xue Dou, Rui Jiang
2012	—	`conf`	Ontology-Based Genes Similarity Calculation with TF-IDF. ICICA (LNCS) Yue Huang, Mingxin Gan, Rui Jiang
2011	Misc	`conf`	A genetic algorithm for optimizing subnetwork markers for the study of breast cancer metastasis. ICNC Jiaxin Wu, Mingxin Gan, Rui Jiang
2011	J	`jnl`	Constructing a gene semantic similarity network for the inference of disease genes. BMC Syst. Biol. Rui Jiang, Mingxin Gan, Peng He
2011	—	`conf`	DOPCA: A New Method for Calculating Ontology-Based Semantic Similarity. ACIS-ICIS Mingxin Gan, Xue Dou, Daoping Wang, Rui Jiang
2011	J	`jnl`	Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines. Int. J. Comput. Biol. Drug Des. Jiaxin Wu, Mingxin Gan, Rui Jiang
2009	—	`conf`	Enterprise Isomorphic Mapping Mechanism: Towards Ontology Interoperability in EIS Development. ICEBE Mingxin Gan