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崔立真
-
教授
博士生导师
- 性别：男
- 毕业院校：Shandong University
- 所在单位：软件学院
- 入职时间： 2006-03-22
- 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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[21]
陈欣然.
基于注意力指导的双粒度跨模态医学特征学习框架.
《计算机工程与科学》,
47,
150-159,
2025.
-
[22]
李怡平.
A capsule-based reinforcement learning framework for supply–demand matching in mobile crowdsourcing.
Expert Systems with Applications,
2024.
-
[23]
张帅鹏.
Privacy-Preserving Cross-Organization Process Mining Based on Blockchain and Cryptography.
1384-1389,
2024.
-
[24]
张琳浩.
Optimization of Service Utility in 5G Heterogeneous Networks Using Dynamic Game.
International Journal of Crowd Science,
8,
159,
2024.
-
[25]
王秋圆.
A Complete Protection, Certification and Traceability System for Academic Degrees Based on Collabora.
401-406,
2024.
-
[26]
赵天龙.
Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multiva.
Information Sciences,
120742,
2024.
-
[27]
孟倩雯.
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanc.
Knowledge-Based Systems,
2024.
-
[28]
唐运森.
LAMRec: Label-aware Multi-view Drug Recommendation.
2024.
-
[29]
孙晓芳.
Multi-Granularity Graph Convolution Network for Major Depressive Disorder Recognition.
IEEE transactions on neural systems and rehabilitation engineering,
2023.
-
[30]
曲静.
Development of a novel machine learning-based approach for brain function assessment and integrated.
ADVANCED ENGINEERING INFORMATICS,
2024.
-
[31]
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.
-
[32]
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.
-
[33]
.
A Survey on Federated Recommendation Systems.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
2024.
-
[34]
赵云峰.
Personalized Federated Few-Shot Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
35,
2534,
2024.
-
[35]
张蕾.
Estimating package arrival time via heterogeneous hypergraph neural network.
Expert Systems with Applications,
238,
2024.
-
[36]
张建成.
EAPR: explainable and augmented patient representation learning for disease prediction.
Health Information Science and Systems,
11,
2023.
-
[37]
朱方林.
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph.
IEEE Journal of Biomedical and Health Informatics,
28,
2024.
-
[38]
张蕾.
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,
18,
2024.
-
[39]
孙晓芳.
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition.
2023.
-
[40]
崔立真.
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks.
Data Science and Engineering,
6,
294-309,
2020.
