Ming He

34 papers A 4B 3Journal 15Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling High-order relationships and dynamic preferences for group recommendation.
Knowl. Based Syst.
Ming He, Changle Li, Man Zhou, Yongjie Zheng, Xiaojing Wang
2025 J jnl
Adaptive multi-view decision model for group recommendation.
Neurocomputing
Ming He, Man Zhou, Changle Li, Yongjie Zheng, Xiaojing Wang
2025 J jnl
DTR4Rec: direct transition relationship for sequential recommendation.
Appl. Intell.
Ming He, Han Zhang, Zihao Zhang, Chang Liu
2025 A conf
EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation.
CIKM
Ming He, Wenbo Luo, Yongjie Zheng, Junkai Zhang, Xiaolei Gao
2025 A conf
Improving the Safety of Medication Recommendation via Graph Augmented Patient Similarity Network.
CIKM
Ming He, Yongjie Zheng, Changle Li, Man Zhou
2025 J jnl
Relieving popularity bias in recommender systems via user group-level augmentation.
Appl. Soft Comput.
Ming He, Zihao Zhang, Han Zhang, Chang Liu
2024 — conf
Causal Disentangled Sentiment Debiasing for Recommendation.
DASFAA (3)
Ming He, Chang Liu, Han Zhang, Zihao Zhang
2023 J jnl
Conversation and recommendation: knowledge-enhanced personalized dialog system.
Knowl. Inf. Syst.
Ming He, Jiwen Wang, Tianyu Ding, Tong Shen
2022 A conf
Causal Intervention for Sentiment De-biasing in Recommendation.
CIKM
Ming He, Xin Chen, Xinlei Hu, Changshu Li
2022 — conf
Learning and Fusing Multiple User Interest Representations for Sequential Recommendation.
DASFAA (3)
Ming He, Tianshuo Han, Tianyu Ding
2022 — conf
Mitigating Confounding Bias for Recommendation via Counterfactual Inference.
ECML/PKDD (1)
Ming He, Xinlei Hu, Changshu Li, Xin Chen, Jiwen Wang
2022 — conf
Mitigating Popularity Bias in Recommendation via Counterfactual Inference.
DASFAA (3)
Ming He, Changshu Li, Xinlei Hu, Xin Chen, Jiwen Wang
2022 B conf
Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks.
ICWE
Ming He, Tianshuo Han, Tianyu Ding
2021 J jnl
CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations.
IEEE Intell. Syst.
Jiuling Zhang, Ming He
2021 B conf
Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System.
ICWE
Ming He, Tong Shen, Ruihai Dong
2021 — conf
LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence.
DASFAA (3)
Ming He, Han Wen, Hanyu Zhang
2021 B conf
MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering.
ICWE
Ming He, Zekun Huang, Han Wen
2021 — conf
RE-KGR: Relation-Enhanced Knowledge Graph Reasoning for Recommendation.
DASFAA (3)
Ming He, Hanyu Zhang, Han Wen
2021 — conf
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification.
PAKDD (2)
Ming He, Tianyu Ding, Tianshuo Han
2020 J jnl
Restoring latent factors against negative transfer using partial-adaptation nonnegative matrix factorization.
CCF Trans. Pervasive Comput. Interact.
Ming He, Jiuling Zhang, Jiang Zhang
2019 J jnl
ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation.
IEEE Access
Ming He, Jiuling Zhang, Shaozong Zhang
2019 J jnl
Collaborative Additional Variational Autoencoder for Top-N Recommender Systems.
IEEE Access
Ming He, Qian Meng, Shaozong Zhang
2019 J jnl
HI2Rec: Exploring Knowledge in Heterogeneous Information for Movie Recommendation.
IEEE Access
Ming He, Bo Wang, XiangKun Du
2019 J jnl
Learning to Style-Aware Bayesian Personalized Ranking for Visual Recommendation.
IEEE Access
Ming He, Shaozong Zhang, Qian Meng
2019 J jnl
Representation Learning of Knowledge Graphs via Fine-Grained Relation Description Combinations.
IEEE Access
Ming He, XiangKun Du, Bo Wang
2019 — conf
Tag2Vec: Tag Embedding for Top-N Recommendation.
ICNC-FSKD
Ming He, Kaisheng Yao, Peng Yang, Yuan Yao
2018 A conf
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation.
WSDM
Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao
2018 J jnl
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
Ming He, Peng Yang, Kaisheng Yao, Jiuling Zhang
2018 J jnl
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
Ming He, Kaisheng Yao, Peng Yang, Jiuling Zhang
2010 — conf
P-top-k queries in probabilistic framework from information extraction models.
FSKD
Ming He, Yongping Du
2010 J jnl
Uncertain Queries Processing in Probabilistic Framework.
J. Comput.
Ming He, Yongping Du
2008 — conf
Multi-Strategy to Improve Reading Comprehension.
CIS (1)
Yongping Du, Ming He
2008 — conf
Pattern Optimization and the Application in Question Answering.
ISDA (2)
Yongping Du, Ming He
2007 — conf
Mining the Semantic Information to Facilitate Reading Comprehension.
ICIC (1)
Yongping Du, Ming He, Naiwen Ye