刘世超


姓名



刘世超



性别





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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