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中南财经政法大学信息与安全工程学院导师教师师资介绍简介-马霄

本站小编 Free考研考试/2021-07-24
马霄
电子邮件:cindyma@zuel.edu.cn/@qq.com
一、个人简介：
2017年博士毕业于华中科技大学，2015-2017年于美国伊利诺伊大学-香槟分校(UIUC)联合培养。主持国家自然科学基金项目一项，发表高水平学术论文20余篇。编写专著一部，编写本科生教材两部。
研究方向：推荐算法、异质信息网络挖掘、图表示学习、数据挖掘等。
实验室：数据分析与智能服务实验室
欢迎具有较强编程基础的优秀本科生报考本实验室硕士研究生（计算机科学与技术和电子信息方向硕士生导师）！
毕业研究生：汪冉冉（电子科技大学攻读博士学位）

二、承担的主要教学课程
程序设计；算法设计与分析；人工智能与数据处理基础；推荐算法；科技论文检索与写作；计算机前沿技术讲座；

三、科研领域及成果（项目和论文请各填写代表性5项内，请勿多填写）
代表性项目：
[1]国家自然科学基金项目.基于多源异质信息融合的推荐算法研究.2019.1-2021.12(主持,在研)
[2]CCF信息系统开放课题.异质信息网络下的关联文献推荐方法研究.2018.12-2019.12 (主持,已结题)
[3]“百年·百项”基层党建创新计划项目.《谈治国理政》主题及语言特征分析研究.2020-2021（主持，在研）
代表性论文：
[1]Xiao Ma, et al. A name disambiguation module for intelligent robotic consultant in industrial internet of things. Mechanical Systems and Signal Processing 136 (2020): 106413.
[2]Xiao Ma, et al. Modeling multi-aspects within one opinionated sentence simultaneously for aspect-level sentiment analysis. Future Generation Computer Systems 93 (2019): 304-311.
[3]Xiao Ma, et al. Newly published scientific papers recommendation in heterogeneous information networks. Mobile Networks and Applications, 2019, 24(1): 69-79.
[4]Xiao Ma, et al. Personalized scientific paper recommendation based on heterogeneous graph representation. IEEE Access 7 (2019): 79887-79894.
[5]Xiao Ma, et al. An explicit trust and distrust clustering based collaborative filtering recommendation approach. Electronic Commerce Research and Applications 25 (2017): 29-39.
代表性专著：
融合社会关系与社区结构的协同过滤推荐算法研究.中国社会科学出版社.2019年(独撰)


四、荣誉奖励
2018-2020年中南财经政法大学“优秀共产党员”称号

五、其他（请写代表性的上述遗漏内容）
其他代表性期刊论文
[1]Jiangfeng Zeng, Yin Zhang, and Xiao Ma*. Fake news detection for epidemic emergencies via deep correlations between text and images. Sustainable Cities and Society 66 (2021): 102652.
[2]Wei Chen, Xiao Ma, et al. Hierarchical quantization for billion-scale similarity retrieval on GPUs. Computers & Electrical Engineering 90 (2021): 107002.
[3]Ranran Wang, Xiao Ma, et al. Heterogeneous information network-based music recommendation system in mobile networks. Computer Communications 150 (2020): 429-437.
[4]Yin Zhang, Xiao Ma, et al. PSAC: Proactive sequence-aware content caching via deep learning at the network edge. IEEE Transactions on Network Science and Engineering 7.4 (2020): 2145-2154.
[5]Jiangfeng Zeng, Xiao Ma, and Ke Zhou. Enhancing attention-based LSTM with position context for aspect-level sentiment classification. IEEE Access 7 (2019): 20462-20471.
[6]Yin Zhang, Xiao Ma, et al. Edge intelligence in the cognitive Internet of Things: Improving sensitivity and interactivity. IEEE Network 33.3 (2019): 58-64.
[7]Jiangfeng Zeng, Xiao Ma, and Ke Zhou. Photo-realistic face age progression/regression using a single generative adversarial network. Neurocomputing 366 (2019): 295-304.
[8]Yin Zhang, Xiao Ma, et al. CrossRec: Cross-domain recommendations based on social big data and cognitive computing. Mobile networks and applications 23.6 (2018): 1610-1623.
[9]Xiao Ma, et al. Intelligent healthcare systems assisted by data analytics and mobile computing. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). IEEE, 2018.
[10]Dawei Jin, Xiao Ma, et al. Information diffusion model based on social big data. Mobile Networks and Applications 23.4 (2018): 717-722.
[11]Xiao Ma, et al. An exploration of improving prediction accuracy by constructing a multi-type clustering based recommendation framework. Neurocomputing 191 (2016): 388-397.
[12]马霄, 甘早斌, 鲁宏伟, 马尧. 电子商务中的一种潜在信任关系预测方法. 计算机科学, 2014, 41(12):138-142.
其他代表性会议论文
[1]Xiao Ma, Ranran Wang, and Yin Zhang. Author name disambiguation in heterogeneous academic networks. International Conference on Web Information Systems and Applications. Springer, Cham, 2019.
[2]Jiangfeng Zeng, Ke Zhou, Xiao Ma*, Fuhao Zou, Hua Wang. Exploiting Cluster based Meta Paths for Link Prediction in Signed Networks. Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM, 2016: 1905-1908.
[3]Xiao Ma, Hongwei Lu, Zaobin Gan. Implicit Trust and Distrust Prediction for Recommender Systems. In Proceedings of the 16th International Conference on Web Information System Engineering, WISE, 2015: 185-199.
[4]Xiao Ma, Hongwei Lu, Zaobin Gan. Improving Recommendation Accuracy with Clustering-Based Social Regularization. In Proceedings of the 16th Asia-Pacific Web Conference, APWEB, 2014:177-188.
[5]Xiao Ma, Hongwei Lu, Zaobin Gan. Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, CIKM, 2014：1951-1954.

编著教材
人工智能与数据处理基础
人工智能与数据处理实验实训教程






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