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崔立真
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教授
博士生导师
- 性别：男
- 毕业院校：Shandong University
- 所在单位：软件学院
- 办公地点：山东省济南市高新区舜华路1500号
访问量：
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[1]
孟倩雯.
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanc.
Knowledge-Based Systems,
2024.
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[2]
唐运森.
LAMRec: Label-aware Multi-view Drug Recommendation.
2024.
-
[3]
孙晓芳.
Multi-Granularity Graph Convolution Network for Major Depressive Disorder Recognition.
IEEE transactions on neural systems and rehabilitation engineering,
2023.
-
[4]
曲静.
Development of a novel machine learning-based approach for brain function assessment and integrated.
ADVANCED ENGINEERING INFORMATICS,
2024.
-
[5]
曲静.
The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Usin.
IEEE transactions on neural systems and rehabilitation engineering,
2022.
-
[6]
曲静.
The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Usin.
IEEE transactions on neural systems and rehabilitation engineering,
1684,
2022.
-
[7]
.
A Survey on Federated Recommendation Systems.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
2024.
-
[8]
赵云峰.
Personalized Federated Few-Shot Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
35,
2534,
2024.
-
[9]
张蕾.
Estimating package arrival time via heterogeneous hypergraph neural network.
Expert Systems with Applications,
238,
2024.
-
[10]
张建成.
EAPR: explainable and augmented patient representation learning for disease prediction.
Health Information Science and Systems,
11,
2023.
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[11]
朱方林.
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph.
IEEE Journal of Biomedical and Health Informatics,
28,
2024.
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[12]
张蕾.
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,
18,
2024.
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[13]
孙晓芳.
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition.
2023.
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[14]
崔立真.
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks.
Data Science and Engineering,
6,
294-309,
2020.
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[15]
郑永清.
Optimizing Smart Grid Operations from the Demand Side.
AI MAGAZINE,
42,
28,
2021.
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[16]
崔立真.
A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing？Microtas.
12317 LNCS,
779-793,
2020.
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[17]
Yin, Xiaojing.
Group task allocation approach for heterogeneous software crowdsourcing tasks.
International Journal of Peer-to-Peer Networking and Applications,
2020.
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[18]
曲静.
Development of a novel machine learning-based approach for brain function assessment and integrated .
ADVANCED ENGINEERING INFORMATICS,
2024.
-
[19]
黄子蔚.
A space-time non-stationary and consistent model for 6G multi-UAV cooperative channels.
2023.
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[20]
刘宪顺.
Autonomous multi-agent reconnaissance in military environments: A distributed solution.
2023.
