Personal information

Websites & social links

Home Page

Keywords

Recommender System

Countries

China

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. I am a Director of 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. 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 supervisor at Shandong Normal University, China.

My interesting area includes Recommender System and User Modeling, Location-based Social Network Analysis and Social Media Mining.

Activities

Collapse all

Employment (2)

Shandong Normal University: Jinan, Shandong, CN

2015-09-15 to present | Associate Professor
Employment
Source: Self-asserted source
Lei Guo

The University of Queensland: Brisban, St Lucia, AU

2018-09-20 to 2019-09-30 | Visiting Scholar (ITEE)
Employment
Source: Self-asserted source
Lei Guo

Education and qualifications (1)

Shandong University: Jinan, Shandong, CN

2011-09-01 to 2015-07-01 | Doctor (School of Computer Science and Technology)
Education
Source: Self-asserted source
Lei Guo

Works (19)

Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering
2022 | Journal article
DOI: 10.1109/tkde.2022.3185101
Source: Self-asserted source
Lei Guo

Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction

IEEE Transactions on Neural Networks and Learning Systems
2022 | Journal article
DOI: 10.1109/tnnls.2022.3175068
Source: Self-asserted source
Lei Guo

Binary multi-modal matrix factorization for fast item cold-start recommendation

Neurocomputing
2022-10 | Journal article
DOI: 10.1016/j.neucom.2022.08.013
Contributors: Lei Guo
Source: Self-asserted source
Lei Guo

HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation

Information Processing & Management
2022-05 | Journal article
DOI: 10.1016/j.ipm.2022.102938
Source: Self-asserted source
Lei Guo

基于自注意力网络的共享账户跨域序列推荐

计算机研究与发展
2021 | Journal article
DOI: 10.7544/issn1000-1239.2021.20200564
Source: Self-asserted source
Lei Guo

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

The 30th International Joint Conference on Artificial Intelligence, 2021
2021-05-07 | Preprint
ARXIV: arXiv:2105.03300v1
Source: Self-asserted source
Lei Guo

Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation

ACM Transactions on Information Systems. 2021
2021-03-24 | Preprint
ARXIV: arXiv:2103.13506v1
Source: Self-asserted source
Lei Guo

Group Recommendation with Latent Voting Mechanism

2020 IEEE 36th International Conference on Data Engineering (ICDE)
2020-04 | Conference paper
DOI: 10.1109/icde48307.2020.00018
Part of ISBN: 9781728129037
Source: Self-asserted source
Lei Guo

Streaming Session-based Recommendation

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19
2019-07-30 | Conference paper
DOI: 10.1145/3292500.3330839
ISBN: 9781450362016
Source: Self-asserted source
Lei Guo

Location perspective-based neighborhood-aware POI recommendation in location-based social networks

Soft Computing
2019-01-10 | Journal article
DOI: 10.1007/s00500-018-03748-9
Part of ISSN: 1432-7643
Part of ISSN: 1433-7479
Source: Self-asserted source
Lei Guo

Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks

Journal of Computer Science and Technology
2018-07 | Journal article
DOI: 10.1007/s11390-018-1849-9
Part of ISSN: 1000-9000
Part of ISSN: 1860-4749
Source: Self-asserted source
Lei Guo

Network Embedding Based Recommendation Method in Social Networks

Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
2018-04-23 | Conference paper
DOI: 10.1145/3184558.3186904
ISBN: 9781450356404
Source: Self-asserted source
Lei Guo

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
2017-08-01 | Journal article
Source: Self-asserted source
Lei Guo

Social Trust Aware Item Recommendation for Implicit Feedback

Journal of Computer Science and Technology
2015-09 | Journal article
DOI: 10.1007/s11390-015-1580-8
Part of ISSN: 1000-9000
Part of ISSN: 1860-4749
Source: Self-asserted source
Lei Guo

Learning to recommend with social contextual information from implicit feedback

Soft Computing
2015-05 | Journal article
DOI: 10.1007/s00500-014-1347-0
Part of ISSN: 1432-7643
Part of ISSN: 1433-7479
Source: Self-asserted source
Lei Guo

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 | Journal article
Source: Self-asserted source
Lei Guo

Learning to recommend with multi-faceted trust in social networks

Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
2013 | Conference paper
DOI: 10.1145/2487788.2487892
ISBN: 9781450320382
Source: Self-asserted source
Lei Guo

一种信任关系敏感的社会化推荐算法

计算机研究与发展
2013 | Journal article
Source: Self-asserted source
Lei Guo

Learning to recommend with social relation ensemble

Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
2012 | Conference paper
DOI: 10.1145/2396761.2398701
ISBN: 9781450311564
Source: Self-asserted source
Lei Guo

Peer review (28 reviews for 10 publications/grants)

Review activity for Data & knowledge engineering. (4)
Review activity for Data science and engineering. (1)
Review activity for Expert systems with applications. (1)
Review activity for Information processing and management. (8)
Review activity for Information sciences. (1)
Review activity for Journal of informetrics. (1)
Review activity for Knowledge-based systems. (6)
Review activity for Neural networks. (2)
Review activity for Neural Processing Letters. (1)
Review activity for World wide web. (3)
How many people are using ORCID?