姓名





刘世超





性别





男







职称





讲师





学位





博士






电话






邮箱





scliu@mail.hzau.edu.cn







工作单位





华中农业大学信息学院






研究方向





数据挖掘，机器学习，图计算，生物信息学








教育经历





2015.09-2016.09，公派留学博士生，纽约州立大学宾汉姆顿分校，计算机科学系
2012.09-2017.12，博士研究生，武汉大学，计算机应用
2010.09-2012.07，硕士研究生，武汉大学，计算机应用
2006.09-2010.07，本科，武汉大学，计算机科学与技术





主要职历



2018.9至今 华中农业大学信息学院 讲师

2018.1-2018.8 华为有限公司（深圳） 软件工程师

















科研成果













科研项目：
1.中央高校基本科研业务费专项资金资助项目, 基于链接特征的网络向量化表示，2019-2021, 主持
2.国家自然科学基金面上项目，用户自适应的社会标签生成和优化模型研究，2012-2017，参与


发表论文：


1. Yifan Deng, Xinran Xu, Yang Qiu, Jingbo Xia, Wen Zhang* and Shichao Liu*. A multimodal deep learning framework for predicting drug-drug interaction events[J]. Bioinformatics, 2020. (IF = 4.531)
2. Feng Huang, Xiang Yue, Zhankun Xiong, Zhouxin Yu, Shichao Liu and Wen Zhang. Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations, Briefings in Bioinformatics, 2020. (IF = 9.101)
3. Feng Huang, Yang Qiu, Qiaojun Li, Shichao Liu* and Fuchuan Ni*. Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization, Frontiers in Bioengineering and Biotechnology, 2020, 8(218). (IF = 5.122)
4. Yang Zhang, Yang Qiu, Yuxin Cui, Shichao Liu* and Wen Zhang*. Predicting Drug-drug Interactions using Multi-modal Deep Auto-encoders based Network Embedding and Positive-unlabeled Learning[J]. Methods, 2020. (IF = 3.782)
5. Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, and Wen Zhang. Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions, IEEE BIBM 2019: 445-450. (CCF-B)
6. Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, and Leyi Wei. LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning, IEEE BIBM 2019: 555-562. (CCF-B)
7. Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, and Yanqing Niu. LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning, IEEE BIBM 2019: 622-627. (CCF-B)
8. Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei Mark Zhang, Wen Zhang. Efficient Network Representations Learning: An Edge-Centric Perspective[C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2019: 373-388. (CCF-C)
9. Mohammed Alshahrani, Zhu Fuxi, Ahmed Sameh, Soufiana Mekouar, Shichao Liu. Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach. IEEE Access, 2019. (IF = 4.098)
10. Shuai Liu, Xiaohan Zhao, Guangyan Zhang, Weiyang Li, Feng Liu, Shichao Liu, Wen Zhang. PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts, Genes, 2019, 10(9): 672. (IF = 3.331)
11. 刘世超, 朱福喜. 闭回路采样的网络结点特征学习方法. 小型微型计算机系统, 2017(9).
12. Shichao Liu, Fuxi Zhu, Huajun Liu, Zhiqiang Du. A Core Leader Based Label Propagation Algorithm for Community Detection, China Communications, 2016,13(12):97~106. (IF = 1.882)
13. 刘世超, 朱福喜, 甘琳. 基于标签传播概率的重叠社区发现算法. 计算机学报, 2016, 39(4):717-729.
14. 刘世超, 朱福喜, 冯曦. 复杂网络的重叠社区及社区间的结构洞识别. 电子学报, 2016, 44(11):2600-2606.





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