刘世超

姓名

刘世超

性别

1CC6D


职称

副教授

学位

博士

电话


邮箱

scliu(a)mail.hzau.edu.cn

政治面貌

中共党员

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. 国家自然科学基金青年项目,基于多尺度交互表示学习的药物互作用事件预测研究,2022.01-2024.12,课题负责人

2. 国家自然科学基金面上项目,知识图谱驱动的药物-疾病关联预测方法研究,2021.01-2024.12,研究骨干

3. 国家重点研发计划,智慧监管大数据中心与云服务平台构建及示范,2018.12-2021.12,研究骨干

4. 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,2019.01-2021.12,课题负责人

5. 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,2013.01-2017.12,研究骨干

学术兼职:

中国人工智能学会生物信息学与人工生命专委会委员、中国自动化学会智能健康与生物信息专委会委员、CCF YOCSEF 武汉学术委员;Frontiers in Genetics期刊编委;国际人工智能联合会议(IJCAI)程序委员会委员,国际模式识别大会(ICPR)程序委员会委员,生物信息学和生物医学国际会议(BIBM)程序委员会委员;Nucleic Acids Research、Bioinformatics、Briefings in Bioinformatics、Frontiers in Genetics、Journal of Chemical Information and Modeling、BMC Bioinformatics等SCI期刊评审专家。

发表论文:

1.Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Wen Zhang, Zhongfei Zhang. Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks, bioRxiv, 2021.

2. Qiu Yang, Zhang Yang, Deng Yifan, Shichao Liu* and Wen Zhang*. A Comprehensive Review of Computational Methods for Drug-drug Interaction Detection, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.

3. Haorui Wang, Shahanavaj Khan, Shichao Liu*, and Wen Zhang*. Predicting Drug-miRNA Resistance with Layer Attention Graph Convolution Network and Multi Channel Feature Extraction, IEEE BIBM, 2021.

4. Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu and Wen Zhang∗.CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction, IJCAI, 2021.

5. Shuai Liu, Xinran Xu, Zhihao Yang, Xiaohan Zhao, Shichao Liu, Wen Zhang*. EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.

6. Zhankun Xiong, Feng Huang, Ziyan Wang, Shichao Liu, Wen Zhang*. A multimodal framework for improving in silico drug repositioning with the prior knowledge from knowledge graphs, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.

7. Mohammed Alshahrani, Fuxi Zhu, Soufiana Mekouar, Mohammed Yahya Alghamdi, Shichao Liu. Identification of Top-K Influencers Based on Upper Confidence Bound and Local Structure, Big Data Research, 2021.

8. Chengshuai Zhao, Yang Qiu, Shuang Zhou, Shichao Liu, Wen Zhang, Yanqing Niu. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction. BMC genomics, 2020, 21(13): 1-12.

9. Jin Xie, Fuxi Zhu, Xuefei Li, Sheng Huang, Shichao Liu. Attentive preference personalized recommendation with sentence-level explanations. Neurocomputing, 2021, 426: 235-247.

10. Yifan Deng, Xinran Xu, Yang Qiu, Jingbo Xia, Wen Zhang* and Shichao Liu*. A multimodal deep learning framework for predicting drug-drug interaction events. Bioinformatics, 2020.

11. 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.

12. 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).

13. 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. Methods, 2020.

14.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.

15. 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.

16. 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.

17.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.

18. Mohammed Alshahrani, Zhu Fuxi, Ahmed Sameh, Soufiana Mekouar, Shichao Liu. Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach. IEEE Access, 2019.

19. 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.

20.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.

21.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.

22.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.

国家发明专利:

1. 一种基于交互表示学习的药物特征表示方法. 申请号:202111126217.3

2. 基于注意力神经网络的药物互作用及事件预测方法和模型. 申请号:202011058741.7

软件著作权:

1. 食品安全抽检数据采集与分析系统,软件著作权登记号:2021SR1301450

2. 前沿学术热点分析与个性化推荐系统【AIRIS】,软件著作权登记号:2021SR1161916

3. 药物互作用数据采集与分析系统,软件著作权登记号:2021SR1429280

4. 牛牛高考网-高等院校数据分析与推荐系统,软件著作权受理号:2021R11S1644364

奖励与其他:

1. 指导学生获得2020年校优秀学士学位论文1项

2. 指导学生SRF项目2项,国家大学生创新创业训练计划项目1项,湖北省大学生创新创业训练计划项目1项,国家大学生创新创业训练计划“十佳项目”1项

3. 指导学生获得第十二届全国大学生数学竞赛三等奖,第九届湖北省大学生数学竞赛三等奖

4. 指导学生获得第三届全国大学生算法设计与编程挑战赛铜奖

5. 信息学院2020年度教学质量三等奖

6. 信息学院第三届青年教师讲课竞赛三等奖

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