Ming He

According to our database, Ming He authored at least 31 papers between 2007 and 2025.

Collaborative distances:

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

2025

DTR4Rec: direct transition relationship for sequential recommendation.

Ming He, Han Zhang, Zihao Zhang, Chang Liu

Appl. Intell., January, 2025

Relieving popularity bias in recommender systems via user group-level augmentation.

Ming He, Zihao Zhang, Han Zhang, Chang Liu

Appl. Soft Comput., 2025

2024

Causal Disentangled Sentiment Debiasing for Recommendation.

Ming He, Chang Liu, Han Zhang, Zihao Zhang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Conversation and recommendation: knowledge-enhanced personalized dialog system.

Ming He, Jiwen Wang, Tianyu Ding, Tong Shen

Knowl. Inf. Syst., January, 2023

2022

Mitigating Confounding Bias for Recommendation via Counterfactual Inference.

Ming He, Xinlei Hu, Changshu Li, Xin Chen, Jiwen Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks.

Ming He, Tianshuo Han, Tianyu Ding

Proceedings of the Web Engineering - 22nd International Conference, 2022

Mitigating Popularity Bias in Recommendation via Counterfactual Inference.

Ming He, Changshu Li, Xinlei Hu, Xin Chen, Jiwen Wang

Proceedings of the Database Systems for Advanced Applications, 2022

Learning and Fusing Multiple User Interest Representations for Sequential Recommendation.

Ming He, Tianshuo Han, Tianyu Ding

Proceedings of the Database Systems for Advanced Applications, 2022

Causal Intervention for Sentiment De-biasing in Recommendation.

Ming He, Xin Chen, Xinlei Hu, Changshu Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations.

Jiuling Zhang, Ming He

IEEE Intell. Syst., 2021

SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification.

Ming He, Tianyu Ding, Tianshuo Han

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System.

Ming He, Tong Shen, Ruihai Dong

Proceedings of the Web Engineering - 21st International Conference, 2021

MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering.

Ming He, Zekun Huang, Han Wen

Proceedings of the Web Engineering - 21st International Conference, 2021

RE-KGR: Relation-Enhanced Knowledge Graph Reasoning for Recommendation.

Ming He, Hanyu Zhang, Han Wen

Proceedings of the Database Systems for Advanced Applications, 2021

LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence.

Ming He, Han Wen, Hanyu Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Restoring latent factors against negative transfer using partial-adaptation nonnegative matrix factorization.

Ming He, Jiuling Zhang, Jiang Zhang

CCF Trans. Pervasive Comput. Interact., 2020

2019

ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation.

Ming He, Jiuling Zhang, Shaozong Zhang

IEEE Access, 2019

Learning to Style-Aware Bayesian Personalized Ranking for Visual Recommendation.

Ming He, Shaozong Zhang, Qian Meng

IEEE Access, 2019

HI2Rec: Exploring Knowledge in Heterogeneous Information for Movie Recommendation.

Ming He, Bo Wang, Xiangkun Du

IEEE Access, 2019

Collaborative Additional Variational Autoencoder for Top-N Recommender Systems.

Ming He, Qian Meng, Shaozong Zhang

IEEE Access, 2019

Representation Learning of Knowledge Graphs via Fine-Grained Relation Description Combinations.

Ming He, Xiangkun Du, Bo Wang

IEEE Access, 2019

Tag2Vec: Tag Embedding for Top-N Recommendation.

Ming He, Kaisheng Yao, Peng Yang, Yuan Yao

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

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).

Ming He, Peng Yang, Kaisheng Yao, Jiuling Zhang

计算机科学, 2018

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).

Ming He, Kaisheng Yao, Peng Yang, Jiuling Zhang

计算机科学, 2018

Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation.

Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2011

<i>p</i>-top-<i>k</i> queries in a probabilistic framework from information extraction models.

Ming He, Yongping Du

Comput. Math. Appl., 2011

2010

Uncertain Queries Processing in Probabilistic Framework.

Ming He, Yongping Du

J. Comput., 2010

P-top-k queries in probabilistic framework from information extraction models.

Ming He, Yongping Du

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2008

Pattern Optimization and the Application in Question Answering.

Yongping Du, Ming He

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Multi-Strategy to Improve Reading Comprehension.

Yongping Du, Ming He

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2007

Mining the Semantic Information to Facilitate Reading Comprehension.

Yongping Du, Ming He, Naiwen Ye

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007