马 霄
电子邮件: cindyma@zuel.edu.cn/632312282@qq.com
个人简介
马霄，博士，副教授，硕士生导师（计算机科学与技术、计算机技术、人工智能、Computer science and technology(国际留学生)）。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。主持及参与多项国家级、省部级科研项目，在国内外著名期刊、会议上发表高水平学术论文30余篇，长期担任多个国际期刊审稿人。编写专著一部，编写本科生教材两部。
主要研究方向
推荐算法、异质信息网络挖掘、图表示学习、虚假信息治理、数据挖掘、人工智能等
所在实验室
数据分析与智能服务实验室
欢迎有志于从事科学研究的优秀本科生报考本实验室硕士研究生！
（联系方式: cindyma@zuel.edu.cn/632312282@qq.com）
优秀毕业研究生
汪冉冉（电子科技大学 攻读博士学位）
江池（电子科技大学 攻读博士学位）
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；科技论文写作； Scientific paper writing；Algorithm analysis and design
代表性项目
[1] 湖北省自然科学基金项目.基于知识图谱增强的个性化联邦推荐方法研究.2024-2026(主持,在研)
[2] 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.2019-2021 (主持,结题)
[3] 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.2018-2019 (主持,结题)
[4] “百年·百项”基层党建创新计划项目.《习近平谈治国理政》主题及语言特征分析研究.2020-2021（主持,结题）
[5] 科技论文写作.研究生教学改革项目.2021-2023（主持,结题）
代表性学术论文
[1] Ma, X., Zhang, H., Zeng, J., Duan, Y. and Wen, X., 2024. FedKGRec: privacy-preserving federated knowledge graph aware recommender system. Applied Intelligence, pp.1-17.
[2] 马霄,邓秋淼,张红玉,等.融合异质图表示学习与注意力机制的可解释论文推荐[J].情报学报,2024,43(07):802-817.
[3] Jiangfeng Zeng, Xinyu Li, Xiao Ma*. PPTopicPLM: Plug-and-Play Topic-enhanced Pre-trained Language Model for Short-text Rumor Detection. The Journal of Supercomputing. 2024
[4] Chi Jiang, Xiao Ma*, et al. TAPRec: time aware paper recommendation via the modeling of researchers’ dynamic preferences. Scientometrics. 2023, 128(6): 3453-3471.
[5] Shiyang Cao, Xiao Ma, Jiangfeng Zeng, et al. Financial sentiment classification with fresh and hot public opinions. Computers and Electrical Engineering. 111 (2023): 108955.
[6] Xiao Ma, Qiumiao Deng, Yi Ye, Tingting Yang and Jiangfeng Zeng, Attention based Collaborator Recommendation in Heterogeneous Academic Networks, 2022 IEEE 25th International Conference on Computational Science and Engineering (CSE), 2022, pp.51-58.
[7] 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.
[8] 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.
[9] 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.
[10] Xiao Ma, et al. Newly published scientific papers recommendation in heterogeneous information networks. Mobile Networks and Applications, 2019, 24(1): 69-79.
[11] Xiao Ma, et al. Personalized scientific paper recommendation based on heterogeneous graph representation. IEEE Access 7 (2019): 79887-79894.
[12] 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.
[13] Xiao Ma, et al. An explicit trust and distrust clustering based collaborative filtering recommendation approach. Electronic Commerce Research and Applications 25 (2017): 29-39.
[14] Xiao Ma, et al. An exploration of improving prediction accuracy by constructing a multi-type clustering-based recommendation framework. Neurocomputing 191 (2016): 388-397.
指导学生获奖情况
2019年 本科生黄晓婷《基于网络爬虫的岗位画像研究与设计》被评为优秀毕业论文
2020年 指导本科生获得2020年大学生创新创业训练计划项目国家级立项并结项
2023年 本科生王舒怡《基于联邦学习的心血管疾病预测系统》被评为优秀毕业论文
其他代表性期刊论文
[1] Wei Chen, Xiao Ma, et al. Hierarchical quantization for billion-scale similarity retrieval on GPUs. Computers & Electrical Engineering 90 (2021): 107002.
[2] Ranran Wang, Xiao Ma, et al. Heterogeneous information network-based music recommendation system in mobile networks. Computer Communications 150 (2020): 429-437.
[3] 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.
[4] 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.
[5] 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.
[6] Jiangfeng Zeng, Xiao Ma, and Ke Zhou. Photo-realistic face age progression/regression using a single generative adversarial network. Neurocomputing 366 (2019): 295-304.
[7] 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.
[8] Dawei Jin, Xiao Ma, et al. Information diffusion model based on social big data. Mobile Networks and Applications 23.4 (2018): 717-722.
[9] 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.清华大学出版社.2021
人工智能与数据处理实验实训教程.清华大学出版社.2021
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
代表性教研论文
计算机专业研究生科技论文写作课程改革探索与实践.高教学刊.2025
软件著作权
面向结构化数据库的中文Text-to-SQL系统.2022