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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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[41]
余国先.
CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
33,
1,
2021.
-
[42]
余国先.
Flexible Cross-Modal Hashing.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
1,
2020.
-
[43]
余国先.
Partial Multi-Label Learning using Label Compression.
INTERNATIONAL CONFERENCE ON DATA MINING, RIO JANEI,
1,
2020.
-
[44]
余国先.
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Transactions on Knowledge and Data Engineering,
15,
1,
2020.
-
[45]
余国先.
Partial Multi-label Learning with Label and Feature Collaboration.
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS,
621,
2020.
-
[46]
余国先.
Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Information Fusion,
63,
153,
2020.
-
[47]
余国先.
Co-clustering Ensembles based on Multiple Relevance Measures.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
1,
2021.
-
[48]
王峻.
Deep Incomplete Multi-View Multiple Clusterings.
2020.
-
[49]
余国先.
Cross-Species Protein Function Prediction with Asynchronous-Random Walk.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2019.
-
[50]
王峻.
Epistasis Detection using Heterogeneous Bio-molecular Network.
2020.
-
[51]
王峻.
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction.
2020.
-
[52]
王峻.
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathwa.
Briefings in Bioinformatics,
1,
2020.
-
[53]
余国先.
Multi-view Multi-instance Multi-label Active Learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
2021.
-
[54]
王峻.
Imbalance deep multi-instance learning for predicting isoform-isoform interactions.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,
36,
2797,
2021.
-
[55]
余国先.
DeepIDA: predicting isoform-disease associations by data fusion and deep neural networks.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2021.
-
[56]
王峻.
DeepIII: Predicting isoform-isoform interactions by deep neural networks and data fusion.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2021.
-
[57]
余国先.
Imbalance deep multi-instance learning for predicting isoform-isoform interactions.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,
36,
2797,
2021.
