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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[21]
谭好江.
Weighted deep factorizing heterogeneous molecular network for genome-phenome association prediction.
METHODS,
205,
18-28,
2022.
-
[22]
王峻.
EpiMC: Detecting Epistatic Interactions using Multiple Clusterings.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
19,
243,
2021.
-
[23]
黄子墨.
Differentially expressed genes prediction by multiple self-attention on epigenetics data.
Briefings in Bioinformatics,
2022.
-
[24]
余国先.
Crowdsourcing with Self-paced Workers.
2021.
-
[25]
余国先.
Tissue Specificity based Isoform Function Prediction.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2021.
-
[26]
王峻.
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathwa.
Briefings in Bioinformatics,
22,
1984,
2021.
-
[27]
王昕.
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction.
2021.
-
[28]
谭好江.
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network.
2021.
-
[29]
余国先.
EpiHNet: Detecting epistasis by heterogeneous molecule network.
METHODS,
2021.
-
[30]
王峻.
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2019.
-
[31]
余国先.
CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
33,
1,
2021.
-
[32]
余国先.
Flexible Cross-Modal Hashing.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
1,
2020.
-
[33]
余国先.
Partial Multi-Label Learning using Label Compression.
INTERNATIONAL CONFERENCE ON DATA MINING, RIO JANEI,
1,
2020.
-
[34]
余国先.
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Transactions on Knowledge and Data Engineering,
15,
1,
2020.
-
[35]
余国先.
Partial Multi-label Learning with Label and Feature Collaboration.
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS,
621,
2020.
-
[36]
余国先.
Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Information Fusion,
63,
153,
2020.
-
[37]
余国先.
Co-clustering Ensembles based on Multiple Relevance Measures.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
1,
2021.
-
[38]
王峻.
Deep Incomplete Multi-View Multiple Clusterings.
2020.
-
[39]
余国先.
Cross-Species Protein Function Prediction with Asynchronous-Random Walk.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
1,
2019.
-
[40]
王峻.
Epistasis Detection using Heterogeneous Bio-molecular Network.
2020.