Biography

I received my Ph.D. degree from Shandong University in 2015. My advisor is Professor Ma Jun. Before joining SDU, I obtained my MS degree from Shandong Normal University in 2011 (Supervised by Fangai Liu). I am a Director of the Shandong Artificial Intelligence Society and a member of the Social Media Processing Committee of the Chinese Information Society. I worked as a Visiting Scholar at The University of Queensland (UQ) from 2018 to 2019 (Supervised by Professor Hongzhi Yin). My research grants include the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. Currently, I am working as an Associate Professor and master's supervisor at Shandong Normal University, China. 

My interesting areas include

• Recommender System and User Modeling 

• Location-based Social Network Analysis 

• Social Media Mining 

Education & Work Experiences

• 2022.9 -  now: School of Information Science and Engineering, Shandong Normal University, Associate Professor, Master Supervisor

• 2020.1 - 2022.8: Business School, Shandong Normal University, Associate Professor, Master Supervisor

• 2018.09 - 2019.09:  School of ITEE, The University of Queensland, Visting Scholar, Cooperation tutor: Prof. Hongzhi Yin

• 2016.09 - present: Postdoctoral Mobile Station, School of Management Science and Engineering, Shandong Normal University, Cooperation tutor: Prof. Xiyu Liu 

• 2015.07 - 2018.08: School of Management Science and Engineering, Shandong Normal University, Lecturer, Master Supervisor

• 2014.06 - 2014.09:  Microsoft Research Asia (MSRA) , Research Intern

• 2011.09 - 2015.07: Ph.D. candidate in Computer Science and Technology, Shandong University, Supervisor: Prof. Jun Ma

• 2008.09 - 2011.07: M.S. in Information Science and Engineering, Shandong Normal University. Supervisor: Prof. Fangai Liu

Research Grants 

1. 算力互联网与信息安全教育部重点实验室开放课题（2023ZD024 ），大模型场景中面向隐私保护的低功耗推荐算法研究, 2024.01 - 2026.12 （主持）

2. 国家自然科学基金（62372277），面向跨平台场景中非重叠用户的跨域推荐方法研究，面上项目，2024.01 - 2027.12 （主持）

3. 山东省自然科学（ZR2022MF257）.  面向资源受限型边缘设备的推荐系统研究，面上项目 2023.01-- 2025.12. (主持）

4. 国家自然科学基金（61602282）. 位置社交网络中基于用户移动轨迹模式的推荐算法研究，青年项目，2017.01-2019.12. (主持)

5. 中国博士后科学基金资助项目（2016M602181）. 社会媒体中基于地理位置感知的个性化推荐算法研究. 2016.11-2018.10. (主持)

6. 山东师范大学校级教学改革项目（2016JG59）. 基于在线课程平台的学生学习行为分析与教学方法研究. 2016.11-2018.10. (主持)

7. 山东省社会科学规划研究项目, 一般项目，19CTQJ06, 基于用户画像的图书馆个性化推荐服务研究，2020-12.31 (第二位）

8. 国家自然科学基金委员会，面上项目，61772321，基于多源数据的学生需求发现及信息资源实时推荐机制研究，2018.01 - 2021.12（第二位）

9. 国家自然科学基金项目（61602284）. 深度挖掘人工译文信息的机器翻译自动评价方法研究. 2017.01-2019.12. (第三位)

10. 教育部人文社科基金（21YJC630157）基于多层网络的跨平台社交媒体网络内容信息融合、识别与治理研. 2021-2023 （参与）

11. 山东师范大学2021 年研究生“导学思政”研究课题（2021YGB18）, 面向工程实训的导学思政机制和实现路径探索, 2019-2021 (参与）

arXiv Preprints

1. Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu,  and Hongzhi Yin*. "Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation". https://arxiv.org/abs/2304.04218

Selected Publications (Google Scholar)

1. Lei Guo, Ziang Lu, Junliang Yu,  Quoc Viet Hung Nguyen, Hongzhi Yin*, "Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation", The Web Conference 2024 (WWW), 2024, (CCF A), code

2. Hao Liu, Lei Guo*, Lei Zhu*, Yongqiang Jiang, Min Gao, Hongzhi Yin. "MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation", ACM Transactions on Information Systems (TOIS), 2024, (CCF A, *Corresponding author), code

3. Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng. "DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation",  ACM Transactions on Information Systems (TOIS), 2023, (CCF A), code

4. Xinhua Wang, Shasha Zhao, Lei Guo*, Lei Zhu, Chaoran Cui, LianCheng Xu, "GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing", IEEE/CAA Journal of Automatica Sinica, 2023 (SCI一区, *Corresponding author).

5. Qiuling Liu, Lei Guo*, Yiping Sun, Linlin Ren, Xinhua Wang, and Xiaohui Han. Do Scholars' Collaborative Tendencies Impact the Quality of Their Publications? A Generalized Propensity Score Matching Analysis, Journal of Informetrics, 2023 (SCI二区，SSCI二区, *Corresponding author)

6. Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin*. “Motif-based Prompt Learning for Universal Cross-domain Recommendation", The 17th ACM International Conference Web Search and Data Mining (WSDM), 2023, (CCF B).

7. Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, Xinhua Wang, Candidate-Aware Dynamic Representation for News Recommendation, International Conference on Artificial Neural Networks, 2023, (CCF C).

8. Meng Liu, Xiaohui Han, Wenbo Zuo, Xuejiao Luo and Lei Guo,  An Interpretable Vulnerability Detection Method Based on Multi-task Learning, The 30th International Conference on Neural Information Processing (ICONIP2023), 2023, (CCF Rank C)

9. Yan Lu, Junwei Du, Lijun Sun, Jinhuan Liu, Lei Guo, Xu Yu, A Developer Recommendation Method Based on Disentangled Graph Convolutional Network, The 30th International Conference on Neural Information Processing (ICONIP2023), 2023, (CCF Rank C)

10. Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu,  Hongzhi Yin*.  "Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation".  IEEE Transactions on Neural Networks and Learning Systems. 2022. (TNNLS'22) (SCI 一区, CORE Rank A*, Q1 Journal）, code and data

11. Lei Guo, Jinyu Zhang, Tong Chen,  Xinhua Wang, and Hongzhi Yin*. "Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation". IEEE Transactions on Knowledge and Data Engineering. 2022. (TKDE). (CCF Rank A, Q1 Journal) , code and data

12. Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, and Yilong Yin. "Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 (SCI 一区, CORE Rank A*, Q1 Journal)

13. Xinhua Wang, Wenyun Ma, Lei Guo*, Haoran Jiang, Fangai Liu and Changdi Xu. "Hyperedge-based Graph Neural Network for MOOC Course Recommendation ". Information Processing and Management. 2022. (SCI一区, *Corresponding author).

14. Lingxu Fan, Lei Guo*, Xinhua Wang, Liancheng Xu and Fangai Liu. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching". Journal of Informetrics, 2022 (SCI二区, SSCI二区,*Corresponding author).

15. Xinhua Wang, Linzhao Jia, Lei Guo*, Fangai Liu. "Multi-aspect Heterogeneous Information Network for MOOC Knowledge Concept Recommendation".  Applied Intelligence. 2022. (SCI二区，*Corresponding author).

16. Chengmei Peng, Lei Zhu, Yang Xu, Yaping Li, Lei Guo. "Binary multi-modal matrix factorization for fast item cold-start recommendation". Neurocomputing, 2022. (SCI二区）code

17.  Tengshuo Song, Feng Guo, Haoran Jiang, Wenyun Ma, Zhenbao Feng, Lei Guo*. HGAT-BR: Hyperedge-based Graph Attention Network for Basket Recommendation . Applied Intelligence. 2022, (SCI二区, *Corresponding author)

18. Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang. "Long- and Short-term Attention Network for Knowledge Tracing". International Joint Conference on Neural Networks (IJCNN), 2022 (CCF Rank C)

19. Lei Guo, Hongzhi Yin*, Tong Chen, Xiangliang Zhang, Kai Zheng. Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation,  ACM Transactions on Information Systems (TOIS), 2021, (CCF A)

20. Lei Guo, Li Tang,  Tong Chen, Lei Zhu, Nguyen Quoc Viet Hung and Hongzhi Yin*. "DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation". The 30th International Joint Conference on Artificial Intelligence (IJCAI'21), August,  2021. (CCF Rank A).

21. Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li and  Hongzhi Yin. "Double-Scale Self-Supervised Hypergraph Convolutional Network for Group Recommendation ".  The 30th ACM International Conference on Information and Knowledge Management (CIKM'21), October, 2021. (CCF Rank B, CORE Rank A).

22. 郭磊，李秋菊，刘方爱，王新华. 基于自注意力网络的共享账户跨域序列推荐研究, 计算机研究与发展, 2021: 58.

23. Lei Guo, Hongzhi Yin*, Qinyong Wang, Bin Cui, Zi Huang and Lizhen Cui. "Group Recommendation with Latent Voting Mechanism". 36th IEEE International Conference on Data Engineering(ICDE'2020), Dallas, Texas. April, 2020. (CCF Rank A). 

24. Lei Guo, Hongzhi Yin*, Qinyong Wang, Tong Chen, Alexander Zhou and Nguyen Quoc Viet Hung. "Streaming Session-based Recommendation". 25th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD'19), slides, Anchorage, Alaska, August, 2019. (CCF Rank A, Oral, Acceptance Rate=9%)

25.  Lei Guo*, Yufei Wen, Fangai Liu. Location perspective-based neighborhood-aware POI recommendation in location-based social networks. Soft Computing, 2019 (CCF Rank C，IF=2.784)

26.  Yufei Wen, Lei Guo*, Zhumin Chen, Jun Ma. Network Embedding Based Recommendation Method in Social Networks. The Web Conference (WWW 2018) , 2018, Lyon, France (CCF Rank A, *Corresponding author)

27. Lei Guo*, Yufei Wen, Xinhua Wang. Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks. Journal of Computer Science and Technology, 2018, 33(4): 682–696 (CCF Rank B) 

28. 高玉凯, 王新华, 郭磊*, 陈竹敏. 一种基于协同矩阵分解的用户冷启动推荐算法. 计算机研究与发展, 2017,54(8):1813-1823 (*Corresponding author)

29. 黄山山，马军*，郭磊，王帅强. LinkMF：结合Linked Data的协同过滤推荐算法.  中文信息学报, 2016,30(1): 85-92

30.  Lei Guo, Jun Ma*, Haoran Jiang, Zhumin Chen, Changming Xing. Social Trust Aware Item Recommendation for implicit feedback.  Journal of Computer Science and Technology, 2015, V30(5): 1039-1053(CCF Rank B)

31.  Lei Guo, Jun Ma*, Zhumin Chen, Huan Zhong. Learning to Recommend with Social Contextual Information from Implicit Feedback. Soft Computing,2015, 19:1351–1362 (CCF Rank C)

32. Xueqin Sui, Zhumin Chen, Lei Guo, Kai Wu, Jun Ma, Guanghui Wang. Social Media as Sensor in Real World: Movement Trajectory Detection with Microblog.  Soft Computing, 2015. (CCF Rank C)

33.  郭磊, 马军,陈竹敏, 姜浩然. 一种结合推荐对象间关联关系的社会化推荐算法. 计算机学报,2014,37(1):219-228

34.  Di Wang, Jun Ma, Tao Lian, Lei Guo. Recommendation based on Weighted Social Trusts and Item Relationships.  In SAC 2014: The 29th ACM Symposium on Applied Computing, 2014

35.  Lei Guo, Jun Ma, Zhumin Chen. Learning to Recommend with Multi-Faceted Trust in Social Networks.  In WWW'13: Proceedings of the 22th international conference on World Wide Web, ACM, 2013 (CCF Rank A).

36. 郭磊，马军，陈竹敏. 一种信任关系强度敏感的社会化推荐算法. 计算机研究与发展, 2013 

37. Lei Guo, Jun Ma, Zhumin Chen, Haoran Jiang.  Learning to Recommend with Social Relation Ensemble.  In Proceedings of the 21st ACM Conference on Information and Knowledge Management(CIKM), 2012 (CCF Rank B)

Patents

1. 高保忠；郭磊；赵沙沙；基于反事实图学习的学生知识状态追踪方法及系统，中国，202310436897.1，2023.6.26（授权）

2. 郭磊*; 温宇菲; 王新华; 刘方爱; 基于深层次网络嵌入特征的社会化信息推荐算法及系统, 中国, 201810372270.3. 2021-10-1, (授权)

3. 王新华；王雨辰；郭磊；姜浩然；徐长棣；刘方爱；一种基于强化学习的个性化图书推荐方法及系统，ZL202110083463.9, 2021.1.21(授权)

4. 郭磊*; 韩雨; 姜浩然; 王新华; 刘方爱; 高保忠; 基于联合卷积矩阵分解的文档上下文感知推荐方法及系统,中国, 201910969795.X.  2020-5-29 (授权)

5. 郭磊; 温宇菲: 王新华; 刘方爱. 面向位置社交网络基于地理位置正则化的兴趣点推荐方法.中国，ZL 2018 1 0111634.2 , 2019.05 （授权）

6. 王新华; 于雪萌; 郭磊*; 刘方爱; 一种基于校园行为序列的学生成绩分类预测方法及系统, 中国, 201911106292.6. 2019-11-13 (实审)

7. 王新华,杨新新,郭磊,刘方爱； 基于图卷积矩阵分解的社交兴趣推荐方法及系统,中国, 2020103330920.  2020-04-24(受理)

8. 郭磊,李秋菊,王新华,刘方爱; 共享账户中基于自注意力机制的跨域信息推荐方法及系统, 中国, 2020103386983,2020-04-26 (受理)

Professional Services 

• 中文信息学会信息检索专委会   通讯委员

• 中文信息学会社会媒体处理专委会   委员

• 山东省人工智能学会  常务理事

• CCF YOCSEF 济南 候任AC委员

• 山东省人工智能学会 学术工委   委员

• 山东省人工智能学会青年科学家专委会  委员

• 第6届山东省人工智能大会（SDAI 2023）  出版主席

• 第5届山东省人工智能大会（SDAI 2022）  出版主席

• PC for KDD 2024、SIGIR 2024、WWW 2024、CIKM 2023、SIGIR 2023、ICME 2023、IJCAI 2023、DASFFA 2023、AAAI 2023、ADMA 2023、CIKM 2022、 IJCAI 2022、CIKM 2021、 IJCAI 2021、 DASSFA 2020 、CCL 2020 、RSBD 2019

• Organizing Committee Member for YSSNLP 2021

• Organizing Committee Member for CCIR2011

• Invited Reviewers:  TPAMI、TKDE、TOIS、TNNLS、KBS、IPM、Information Sciences、ICDM'19、KDD 2022、JCST

Teaching

• 数据库系统，信息科学与工程学院，山东师范大学

• 操作系统，信息科学与工程学院，山东师范大学

• E-commerce website design, 2019.9-2020.1, Business School, Shandong Normal University

• Recommender System-An Introduction，2020.2 -2020.7, Business School, Shandong Normal University

Main Honors

• 全国数学建模比赛 山东省三等奖 指导教师, 2023.10

• 山东省软件设计大赛 三等奖 指导教师, 2023.11

• 中国发明协会 2023年度发明创业创新奖 二等奖 4/6， 2023.07

• 2022年山东省教学成果奖二等奖 8/10

• 山东省人工智能2022年度优秀学术论文. 山东省人工智能学会 2023.10

• 山东省人工智能2021年度优秀学术论文. 山东省人工智能学会 2022.12

• 2019年齐鲁软件设计大赛优秀指导教师

• 2015.6 山东大学 优秀学术成果奖

• 2015.6 山东大学 优秀毕业生

• 2014.12 博士生 国家奖学金

• 2013.12 博士生 国家奖学金