yanzhongmin 山东大学主页平台管理系统--Home

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闫中敏

Associate Professor

Name (Simplified Chinese):闫中敏

Name (Pinyin):yanzhongmin

Date of Employment:2001-07-01

School/Department:软件学院

Gender:Female

Status:Employed

Whether on the job:1

Academic Honor:

Honors and Titles:

Current position: Home >> Scientific Research >> Paper Publications

[21] 赵云峰. Few-shot partial multi-label learning via prototype rectification. Knowledge and Information Systems, 1851, 2023.
[22] 杨德智. Causal Discovery by Graph Attention Reinforcement Learning. 2023.
[23] 邱思超. Meta multi-instance multi-label learning by heterogeneous network fusion. Information Fusion, 94, 272, 2023.
[24] 苏聪. A review of causality-based fairness machine learning. Intelligence and Robotics, 2, 244, 2022.
[25] 刘宁. An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Coll. Journal of Computer Science and Technology, 6, 1356, 2022.
[26] 何伟. Joint Attention Networks with Inherent and Contextual Preference？Awareness for Successive POI Recom. Springer Data Science and Engineering, 7, 370, 2022.
[27] 李晖. MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. 2022.
[28] 王峻. Differential gene expression prediction by ensemble deep networks on Histone Modification data. IEEE/ACM transactions on computational biology and bioinformatics, 1, 1, 2021.
[29] 郭禹兵. A Novel Multi-view Bi-clustering method for identifying abnormal Co-occurrence medical visit behavi. METHODS, 65, 2022.
[30] 徐庸辉. Multi-modal information fusion-powered regional Covid-19 epidemic forecasting. 2021.
[31] 黄子墨. Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings in Bioinformatics, 2022.
[32] 余国先. Lung Cancer Subtype Diagnosis by Fusing Image-genomics Data and Hybrid Deep Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.
[33] 余国先. Few-Shot Partial Multi-Label Learning. 2021.
[34] 刘磊. The algorithm of multi-source to multi-sink traffic scheduling. 2021.
[35] 曹鲁慧. 基于TLSTM的医疗保险欺诈检测. 《计算机工程与应用》, 56, 2020.
[36] 闫中敏. Cost‐effective multi‐instance multilabel active learning. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021.
[37] 黄浩哲. Heterogeneous Information Network-Based Patient Similarity Search. Frontiers in Cell and Developmental Biology, 2021.
[38] 何伟. Multi-interest Aware Recommendation in Crowdintell Network. 2020.
[39] 陈志勇. Medical Treatment Migration Prediction Based on GCN via Medical Insurance Data. IEEE Journal of Biomedical and Health Informatics, 2020.
[40] 闫中敏. Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network. 2020.

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