Lei Guo

According to our database, Lei Guo authored at least 46 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.

Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin

ACM Trans. Inf. Syst., July, 2024

DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation.

Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng

ACM Trans. Inf. Syst., March, 2024

Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.

Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis.

Qiuling Liu, Lei Guo, Yiping Sun, Linlin Ren, Xinhua Wang, Xiaohui Han

J. Informetrics, February, 2024

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

Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin

IEEE Trans. Neural Networks Learn. Syst., January, 2024

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.

Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin

CoRR, 2024

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.

Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Motif-based Prompt Learning for Universal Cross-domain Recommendation.

Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network.

Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation.

Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing.

Xinhua Wang, Shasha Zhao, Lei Guo, Lei Zhu, Chaoran Cui, Liancheng Xu

IEEE CAA J. Autom. Sinica, November, 2023

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.

Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., July, 2023

Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation.

Xinhua Wang, Linzhao Jia, Lei Guo, Fangai Liu

Appl. Intell., May, 2023

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation.

Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin

CoRR, 2023

HGAT-BR: Hyperedge-based graph attention network for basket recommendation.

Tengshuo Song, Feng Guo, Haoran Jiang, Wenyun Ma, Zhenbao Feng, Lei Guo

Appl. Intell., 2023

Candidate-Aware Dynamic Representation for News Recommendation.

Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, Xinhua Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network.

Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.

Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng

ACM Trans. Inf. Syst., 2022

Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching.

Lingxu Fan, Lei Guo, Xinhua Wang, Liancheng Xu, Fangai Liu

J. Informetrics, 2022

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

Xinhua Wang, Wenyun Ma, Lei Guo, Haoran Jiang, Fangai Liu, Changdi Xu

Inf. Process. Manag., 2022

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

Chengmei Peng, Lei Zhu, Yang Xu, Yaping Li, Lei Guo

Neurocomputing, 2022

Discovering Knowledge-Point Importance From the Learning-Evaluation Data.

Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu

Int. J. Distance Educ. Technol., 2022

Long- and Short-term Attention Network for Knowledge Tracing.

Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library.

Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu, Wei Li

Inf., 2021

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

Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.

Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Student Performance Prediction with Short-Term Sequential Campus Behaviors.

Xinhua Wang, Xuemeng Yu, Lei Guo, Fangai Liu, Liancheng Xu

Inf., 2020

Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization.

Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu

Complex., 2020

Group Recommendation with Latent Voting Mechanism.

Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

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

Lei Guo, Yufei Wen, Fangai Liu

Soft Comput., 2019

A Dynamic Recommender System with Fused Time and Location Factors.

Xinhua Wang, Peng Yin, Yukai Gao, Lei Guo

J. Adv. Comput. Intell. Intell. Informatics, 2019

Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks.

Lei Guo, Haoran Jiang, Xiyu Liu, Changming Xing

Complex., 2019

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation.

Xinhua Wang, Xinxin Yang, Lei Guo, Yu Han, Fangai Liu, Baozhong Gao

IEEE Access, 2019

Streaming Session-based Recommendation.

Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Personalized Recommendation Based on Contextual Awareness and Tensor Decomposition.

Zhenjiao Liu, Xinhua Wang, Tianlai Li, Lei Guo

J. Electron. Commer. Organ., 2018

Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks.

Lei Guo, Yufei Wen, Xinhua Wang

J. Comput. Sci. Technol., 2018

Location Regularization-Based POI Recommendation in Location-Based Social Networks.

Lei Guo, Haoran Jiang, Xinhua Wang

Inf., 2018

Network Embedding Based Recommendation Method in Social Networks.

Yufei Wen, Lei Guo, Zhumin Chen, Jun Ma

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Interest-based Modeling Based on Group Wisdom and Its Application in Recommendation Algorithms.

Qiang Gao, Xinhua Wang, Lei Guo

Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017

Social media as sensor in real world: movement trajectory detection with microblog.

Xueqin Sui, Zhumin Chen, Lei Guo, Kai Wu, Jun Ma, Guanghui Wang

Soft Comput., 2017

Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs.

Lei Guo, Haoran Jiang, Xinhua Wang, Fangai Liu

Inf., 2017

2015

Learning to recommend with social contextual information from implicit feedback.

Lei Guo, Jun Ma, Zhumin Chen, Huan Zhong

Soft Comput., 2015

Social Trust Aware Item Recommendation for Implicit Feedback.

Lei Guo, Jun Ma, Haoran Jiang, Zhumin Chen, Chang-Ming Xing

J. Comput. Sci. Technol., 2015

2014

Recommendation based on weighted social trusts and item relationships.

Di Wang, Jun Ma, Tao Lian, Lei Guo

Proceedings of the Symposium on Applied Computing, 2014

2013

Learning to recommend with multi-faceted trust in social networks.

Lei Guo, Jun Ma, Zhumin Chen

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Learning to recommend with social relation ensemble.

Lei Guo, Jun Ma, Zhumin Chen, Haoran Jiang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012