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王峻
-
教授
博士生导师
硕士生导师
- 性别：女
- 毕业院校：哈尔滨工业大学
- 学历：博士研究生毕业
- 学位：工学博士学位
- 在职信息：在职
- 所在单位：软件学院，山东大学-南洋理工大学人工智能国际联合研究院
- 入职时间： 2020-06-12
- 学科：软件工程其他专业
- 办公地点：山东大学软件园校区软件学院
- 联系方式：kingjun@sdu.edu.cn
wjkingjun@gmail.com
- 电子邮箱：kingjun@sdu.edu.cn
访问量：
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[1]
梁嘉旋.
Multi-Granularity Causal Structure Learning.
38,
13727-13735,
2024.
-
[2]
梁嘉旋.
Gradient-based Local Causal Structure Learning.
IEEE Transactions on Cybernetics,
54,
486,
2024.
-
[3]
赵云峰.
Personalized Federated Few-Shot Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
35,
2534,
2024.
-
[4]
苏聪.
Multi-dimensional Fair Federated Learning.
2024.
-
[5]
杨德智.
Federated Causality Learning with Explainable Adaptive Optimization.
2024.
-
[6]
谭好江.
HetFCM: Functional co-module discovery by heterogeneous network co-clustering.
Nucleic Acids Research,
52,
2024.
-
[7]
余国先.
Multiple Clusterings: Recent Advances and Perspectives.
Computer Science Review,
2024.
-
[8]
苏聪.
Causality-based fair multiple decision by response functions.
ACM Transactions on Knowledge Discovery from Data,
18,
2024.
-
[9]
康祥平.
Semi-Asynchronous Online Federated Crowdsourcing.
2024.
-
[10]
梁嘉旋.
Directed Acyclic Graph Learning on Attributed Heterogeneous Network.
IEEE Transactions on Knowledge and Data Engineering,
35,
10845,
2023.
-
[11]
黄子墨.
Differential gene expression prediction by ensemble deep networks on Histone Modification data.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,
20,
340,
2023.
-
[12]
杨德智.
Reinforcement Causal Structure Learning on Order Graph.
2023.
-
[13]
高子俊.
Long-tail Cross Modal Hashing.
2023.
-
[14]
康祥平.
Self-paced Annotations of Crowd Workers.
Knowledge and Information Systems,
64,
3235,
2022.
-
[15]
任良瑞.
A Diversified Attention Model for Interpretable Multiple Clusterings.
TKDE,
2022.
-
[16]
黄子墨.
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network.
Briefings in Bioinformatics,
24,
1,
2023.
-
[17]
杨德智.
Causal Discovery by Graph Attention Reinforcement Learning.
2023.
-
[18]
任良瑞.
scMCs: a framework for single cell multi-omics data integration and multiple clusterings.
Bioinformatics,
39,
1,
2023.
-
[19]
邱思超.
Meta multi-instance multi-label learning by heterogeneous network fusion.
Information Fusion,
94,
272,
2023.
-
[20]
苏聪.
A review of causality-based fairness machine learning.
Intelligence and Robotics,
2,
244,
2022.
