Learning to recommend with social relation ensemble. - Lei Guo 008; Jun Ma 001; Zhumin Chen; Haoran Jiang (CIKM, 2012)

Learning to recommend with multi-faceted trust in social networks. - Lei Guo 008; Jun Ma 001; Zhumin Chen (WWW (Companion Volume), 2013)

Recommendation based on weighted social trusts and item relationships. - Di Wang; Jun Ma 001; Tao Lian; Lei Guo 008 (SAC, 2014)

Social Trust Aware Item Recommendation for Implicit Feedback. - Lei Guo 008; Jun Ma 001; Haoran Jiang; Zhumin Chen; Chang-Ming Xing (J. Comput. Sci. Technol., 2015)

Learning to recommend with social contextual information from implicit feedback. - Lei Guo 008; Jun Ma 001; Zhumin Chen; Huan Zhong (Soft Comput., 2015)

Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs. - Lei Guo 008; Haoran Jiang; Xinhua Wang 003; Fangai Liu (Inf., 2017)

Social media as sensor in real world: movement trajectory detection with microblog. - Xueqin Sui; Zhumin Chen; Lei Guo 008; Kai Wu; Jun Ma 001; Guanghui Wang 002 (Soft Comput., 2017)

Interest-based Modeling Based on Group Wisdom and Its Application in Recommendation Algorithms. - Qiang Gao; Xinhua Wang 003; Lei Guo 008 (ICSAI, 2018)

Network Embedding Based Recommendation Method in Social Networks. - Yufei Wen; Lei Guo 008; Zhumin Chen; Jun Ma 001 (WWW (Companion Volume), 2018)

Location Regularization-Based POI Recommendation in Location-Based Social Networks. - Lei Guo 008; Haoran Jiang; Xinhua Wang 003 (Inf., 2018)

Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks. - Lei Guo 008; Yufei Wen; Xinhua Wang 003 (J. Comput. Sci. Technol., 2018)

Personalized Recommendation Based on Contextual Awareness and Tensor Decomposition. - Zhenjiao Liu; Xinhua Wang 003; Tianlai Li; Lei Guo 008 (J. Electron. Commer. Organ., 2018)

Streaming Session-based Recommendation. - Lei Guo 008; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Alexander Zhou 001; Nguyen Quoc Viet Hung (KDD, 2019)

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation. - Xinhua Wang 003; Xinxin Yang; Lei Guo 008; Yu Han; Fangai Liu; Baozhong Gao (IEEE Access, 2019)

Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks. - Lei Guo 008; Haoran Jiang; Xiyu Liu 001; Changming Xing (Complex., 2019)

A Dynamic Recommender System with Fused Time and Location Factors. - Xinhua Wang 003; Peng Yin; Yukai Gao; Lei Guo 008 (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Location perspective-based neighborhood-aware POI recommendation in location-based social networks. - Lei Guo 008; Yufei Wen; Fangai Liu (Soft Comput., 2019)

Group Recommendation with Latent Voting Mechanism. - Lei Guo 008; Hongzhi Yin; Qinyong Wang; Bin Cui 001; Zi Huang; Lizhen Cui (ICDE, 2020)

Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization. - Lei Guo 008; Yu Han; Haoran Jiang; Xinxin Yang; Xinhua Wang 003; Xiyu Liu 001 (Complex., 2020)

Student Performance Prediction with Short-Term Sequential Campus Behaviors. - Xinhua Wang 003; Xuemeng Yu; Lei Guo 008; Fangai Liu; Liancheng Xu (Inf., 2020)

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Lei Guo 008; Jundong Li; Hongzhi Yin (CIKM, 2021)

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. - Lei Guo 008; Li Tang; Tong Chen 005; Lei Zhu 002; Quoc Viet Hung Nguyen; Hongzhi Yin (IJCAI, 2021)

Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library. - Xinhua Wang 003; Yuchen Wang; Lei Guo 008; Liancheng Xu; Baozhong Gao; Fangai Liu; Wei Li (Inf., 2021)

Long- and Short-term Attention Network for Knowledge Tracing. - Liancheng Xu; Guangchao Wang; Lei Guo 008; Xinhua Wang 003 (IJCNN, 2022)

Discovering Knowledge-Point Importance From the Learning-Evaluation Data. - Hongfei Guo; Xiaomei Yu; Xinhua Wang 003; Lei Guo 008; Liancheng Xu; Ran Lu (Int. J. Distance Educ. Technol., 2022)

Binary multi-modal matrix factorization for fast item cold-start recommendation. - Chengmei Peng; Lei Zhu 002; Yang Xu 025; Yaping Li; Lei Guo 008 (Neurocomputing, 2022)

HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation. - Xinhua Wang 003; Wenyun Ma; Lei Guo 008; Haoran Jiang; Fangai Liu; Changdi Xu (Inf. Process. Manag., 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 008; Xinhua Wang 003; Liancheng Xu; Fangai Liu (J. Informetrics, 2022)

Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. - Lei Guo 008; Hongzhi Yin; Tong Chen 005; Xiangliang Zhang 001; Kai Zheng 001 (ACM Trans. Inf. Syst., 2022)

Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network. - Jinyu Zhang 002; Huichuan Duan; Lei Guo 008; Liancheng Xu; Xinhua Wang 003 (DASFAA (2), 2023)

Candidate-Aware Dynamic Representation for News Recommendation. - Liancheng Xu; Xiaoxiang Wang; Lei Guo 008; Jinyu Zhang 002; Xiaoqi Wu; Xinhua Wang 003 (ICANN (7), 2023)

A Developer Recommendation Method Based on Disentangled Graph Convolutional Network. - Yan Lu; Junwei Du; Lijun Sun; Jinhuan Liu; Lei Guo 008; Xu Yu 001; Daobo Sun; Haohao Yu (ICONIP (5), 2023)

HGAT-BR: Hyperedge-based graph attention network for basket recommendation. - Tengshuo Song; Feng Guo; Haoran Jiang; Wenyun Ma; Zhenbao Feng; Lei Guo 008 (Appl. Intell., 2023)

Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation. - Xinhua Wang 003; Linzhao Jia; Lei Guo 008; Fangai Liu (Appl. Intell., 2023)

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. - Lei Guo 008; Jinyu Zhang 002; Tong Chen 005; Xinhua Wang 003; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2023)

GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing. - Xinhua Wang 003; Shasha Zhao; Lei Guo 008; Lei Zhu 002; Chaoran Cui; Liancheng Xu (IEEE CAA J. Autom. Sinica, 2023)

Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation. - Yuxi Zhang; Ji Zhang 001; Feiyang Xu; Lvying Chen; Bohan Li 001; Lei Guo 008; Hongzhi Yin (CIKM, 2024)

Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network. - Liancheng Xu; Lihua Guo; Xiaoqi Wu; Xinhua Wang 003; Lei Guo 008 (ICIC (4), 2024)

Attention-Based Difficulty Feature Enhancement for Knowledge Tracing. - Xinhua Wang 003; Hao Lu; Liancheng Xu; Lei Guo 008; Xiaohui Zhao (IJCNN, 2024)

Motif-based Prompt Learning for Universal Cross-domain Recommendation. - Bowen Hao; Chaoqun Yang 002; Lei Guo 008; Junliang Yu; Hongzhi Yin (WSDM, 2024)

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. - Lei Guo 008; Ziang Lu; Junliang Yu; Quoc Viet Hung Nguyen; Hongzhi Yin (WWW, 2024)

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. - Hao Liu 078; Lei Guo 008; Lei Zhu 002; Yongqiang Jiang; Min Gao 001; Hongzhi Yin (CoRR, 2024)

Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. - Chaoran Cui; Jian Zong; Yuling Ma; Xinhua Wang 003; Lei Guo 008; Meng Chen 003; Yilong Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis. - Qiuling Liu; Lei Guo 008; Yiping Sun; Linlin Ren; Xinhua Wang 003; Xiaohui Han (J. Informetrics, 2024)

Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. - Lei Guo 008; Jinyu Zhang 002; Li Tang; Tong Chen 005; Lei Zhu 002; Hongzhi Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation. - Lei Guo 008; Hao Liu 078; Lei Zhu 002; Weili Guan; Zhiyong Cheng 001 (ACM Trans. Inf. Syst., 2024)

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. - Hao Liu 078; Lei Guo 008; Lei Zhu 002; Yongqiang Jiang; Min Gao 001; Hongzhi Yin (ACM Trans. Inf. Syst., 2024)

User identification network with contrastive clustering for shared-account recommendation. - Xinhua Wang 003; Houping Yue; Lei Guo 008; Feng Guo; Chen He; Xiaohui Han (Inf. Process. Manag., 2025)

Collaborating with top scientists may not improve paper novelty: A causal analysis based on the propensity score matching method. - Linlin Ren; Lei Guo 008; Hui Yu; Feng Guo; Xinhua Wang 003; Xiaohui Han (J. Informetrics, 2025)

Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation. - Ziang Lu; Lei Guo 008; Xu Yu 001; Zhiyong Cheng 001; Xiaohui Han; Lei Zhu 002 (ACM Trans. Inf. Syst., 2025)

Automated Prompting for Non-Overlapping Cross-Domain Sequential Recommendation. - Lei Guo 008; Chunxiao Wang; Xinhua Wang 003; Lei Zhu 002; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2025)

Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation. - Lei Guo 008; Chenlong Song; Feng Guo; Xiaohui Han; Xiaojun Chang; Lei Zhu 002 (ACM Trans. Inf. Syst., 2025)

HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks. - Jingwei Ma; Jiahui Wen; Lei Zhu 002; Mingyang Zhong; Yang Xu 025; Lei Guo 008; Hongzhi Yin (ACM Trans. Inf. Syst., 2025)