|
个人信息Personal Information
教授 博士生导师 硕士生导师
主要任职：国家级青年人才，重点研发项目首席，山东省杰青
其他任职：CCF高级会员（大数据、数据库、人工智能与模式识别，生物信息学专委会）；CAAI（机器学习）
性别：男
毕业院校：华南理工大学
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
入职时间：2020-07-16
学科：计算机应用技术
软件工程其他专业
办公地点：山东大学软件园校区3区
联系方式：gxyu@sdu.edu.cn; guoxian85@gmail.com; www.sdu-idea.cn;
电子邮箱：gxyu@sdu.edu.cn
扫描关注
- [41] 谭好江. Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. 2021.
- [42] 余国先. EpiHNet: Detecting epistasis by heterogeneous molecule network. METHODS, 2021.
- [43] 闫中敏. Cost‐effective multi‐instance multilabel active learning. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021.
- [44] 桂孝强. Cost-effective Batch-mode Multi-label Active Learning. Neurocomputing, 2021.
- [45] 余国先. Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1, 2019.
- [46] 王峻. Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings in Bioinformatics, 1, 2020.
- [47] 王峻. Deep Incomplete Multi-View Multiple Clusterings. 2020.
- [48] 王峻. Epistasis Detection using Heterogeneous Bio-molecular Network. 2020.
- [49] 欧光金. Multi-label zero-shot learning with graph convolutional networks. NEURAL NETWORKS, 132, 333, 2020.
- [50] 余国先. Partial Multi-Label Learning using Label Compression. INTERNATIONAL CONFERENCE ON DATA MINING, RIO JANEI, 1, 2020.
- [51] 余国先. CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Transactions on Knowledge and Data Engineering, 15, 1, 2020.
- [52] 余国先. Partial Multi-label Learning with Label and Feature Collaboration. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS, 621, 2020.
- [53] 王峻. CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1, 2019.
- [54] 余国先. Co-clustering Ensembles based on Multiple Relevance Measures. IEEE Transactions on Knowledge and Data Engineering (TKDE), 1, 2021.
- [55] 余国先. Flexible Cross-Modal Hashing. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 1, 2020.
- [56] 余国先. CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33, 1, 2021.
- [57] 余国先. Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Information Fusion, 63, 153, 2020.
- [58] 余国先. Multi-view Multi-instance Multi-label Active Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021.
- [59] 余国先. Few-Shot Partial-Label Learning. 2021.
- [60] 王峻. Imbalance deep multi-instance learning for predicting isoform-isoform interactions. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 36, 2797, 2021.