Ming He

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 19

Top Topics

Fusing Multiple

Personalized Recommendation

Transfer Learning

Collaborative Filtering

Top Venues

计算机科学

Publications

Ming He, Jiwen Wang, Tianyu Ding, Tong Shen
Conversation and recommendation: knowledge-enhanced personalized dialog system. Knowl. Inf. Syst. 65 (1) (2023)
Ming He, Tianshuo Han, Tianyu Ding
Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. ICWE (2022)
Ming He, Tianshuo Han, Tianyu Ding
Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. DASFAA (3) (2022)
Ming He, Tianyu Ding, Tianshuo Han
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. PAKDD (2) (2021)
Ming He, Han Wen, Hanyu Zhang
LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence. DASFAA (3) (2021)
Ming He, Zekun Huang, Han Wen
MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering. ICWE (2021)
Ming He, Hanyu Zhang, Han Wen
RE-KGR: Relation-Enhanced Knowledge Graph Reasoning for Recommendation. DASFAA (3) (2021)
Ming He, Tong Shen, Ruihai Dong
Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. ICWE (2021)
Jiuling Zhang, Ming He
CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations. IEEE Intell. Syst. 36 (4) (2021)
Ming He, Jiuling Zhang, Jiang Zhang
Restoring latent factors against negative transfer using partial-adaptation nonnegative matrix factorization. CCF Trans. Pervasive Comput. Interact. 2 (1) (2020)
Ming He, Qian Meng, Shaozong Zhang
Collaborative Additional Variational Autoencoder for Top-N Recommender Systems. IEEE Access 7 (2019)
Ming He, Jiuling Zhang, Shaozong Zhang
ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation. IEEE Access 7 (2019)
Ming He, Bo Wang, Xiangkun Du
HI2Rec: Exploring Knowledge in Heterogeneous Information for Movie Recommendation. IEEE Access 7 (2019)
Ming He, Xiangkun Du, Bo Wang
Representation Learning of Knowledge Graphs via Fine-Grained Relation Description Combinations. IEEE Access 7 (2019)
Ming He, Shaozong Zhang, Qian Meng
Learning to Style-Aware Bayesian Personalized Ranking for Visual Recommendation. IEEE Access 7 (2019)
Ming He, Kaisheng Yao, Peng Yang, Yuan Yao
Tag2Vec: Tag Embedding for Top-N Recommendation. ICNC-FSKD (2019)
Ming He, Peng Yang, Kaisheng Yao, Jiuling Zhang
TEFRCF: 标签熵特征表示的协同过滤个性化推荐算法 (TEFRCF: Collaborative Filtering Personalized Recommendation Algorithm Based on TagEntropy Feature Representation). 计算机科学 45 (6A) (2018)
Ming He, Kaisheng Yao, Peng Yang, Jiuling Zhang
基于标签信息特征相似性的协同过滤个性化推荐 (Collaborative Filtering Personalized Recommendation Based on Similarity of Tag Information Feature). 计算机科学 45 (6A) (2018)
Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation. WSDM (2018)
Ming He, Yongping Du
queries in a probabilistic framework from information extraction models. Comput. Math. Appl. 62 (7) (2011)
Ming He, Yongping Du
Uncertain Queries Processing in Probabilistic Framework. J. Comput. 5 (11) (2010)
Ming He, Yongping Du
P-top-k queries in probabilistic framework from information extraction models. FSKD (2010)
Yongping Du, Ming He
Multi-Strategy to Improve Reading Comprehension. CIS (1) (2008)
Yongping Du, Ming He
Pattern Optimization and the Application in Question Answering. ISDA (2) (2008)
Yongping Du, Ming He, Naiwen Ye
Mining the Semantic Information to Facilitate Reading Comprehension. ICIC (1) (2007)