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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：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：wjkingjun@gmail.com
访问量：
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[1]
余国先.
Multiview Multi-Instance Multilabel Active Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
2022.
-
[2]
苏聪.
Multi-dimensional Causality Fairness Learning.
IEEE Transactions on Knowledge and Data Engineering,
37,
4166,
2025.
-
[3]
康祥平.
Incentive-Boosted Federated Crowdsourcing.
37,
6021-6029,
2023.
-
[4]
邢钟毓.
解释纠偏框架：一种基于标准解释的归因分数生成方法.
Jisuanji Xuebao/Chinese Journal of Computers,
2025.
-
[5]
桂孝强.
Sophon: Byzantine-Robust Federated Learning Via Dual Trust Mechanism.
IEEE Transactions on Dependable and Secure Computing,
2025.
-
[6]
许康.
ChromInSight: Revealing DNA Double-Strand Breaks Through Chromatin Structural Insights With an Inter.
advanced science,
2025.
-
[7]
苏聪.
Multi-dimensional Causality Fairness Learning.
IEEE Transactions on Knowledge and Data Engineering,
2025.
-
[8]
马龙飞.
AN-IHP: Incompatible Herb Pairs Prediction by Attention Networks.
IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,
22,
124-135,
2025.
-
[9]
苏聪.
Multi-Dimensional Fair Federated Learning.
38,
15083-15090,
2024.
-
[10]
赵云峰.
Personalized federated few-shot node classification.
SCIENCE CHINA-Information Sciences,
68,
2025.
-
[11]
卜咏祺.
Cancer molecular subtyping using limited multi-omics data with missingness.
PLOS COMPUTATIONAL BIOLOGY,
20,
2024.
-
[12]
朱永政.
Herb-Target Interaction Prediction by Multi-instance Learning.
IEEE Transactions on Artificial Intelligence,
2024.
-
[13]
王昕.
GWASTool: A web pipeline for detecting SNP-phenotype associations.
Fundamental Research,
2024.
-
[14]
罗汉文.
Emergence-Inspired Multi-Granularity Causal Learning.
39,
19198-19206,
2025.
-
[15]
谭好江.
基于个性化随机游走的基因-表型关联分析.
Tien Tzu Hsueh Pao/Acta Electronica Sinica,
1-14,
2024.
-
[16]
桂孝强.
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure.
TOIS,
43,
2025.
-
[17]
王梦.
Few-shot partial multi-label learning with credible non-candidate label.
Information Sciences,
719,
2025.
-
[18]
梁嘉旋.
Multi-Granularity Causal Structure Learning.
38,
13727-13735,
2024.
-
[19]
梁嘉旋.
Gradient-based Local Causal Structure Learning.
IEEE Transactions on Cybernetics,
54,
486,
2024.
-
[20]
赵云峰.
Personalized Federated Few-Shot Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
35,
2534,
2024.
