Detecting overlapping communities in poly-relational networks. - Zhiang Wu 001; Jie Cao 001; Guixiang Zhu; Wenpeng Yin 001; Alfredo Cuzzocrea; Jin Shi (World Wide Web, 2015)

A recommendation engine for travel products based on topic sequential patterns. - Guixiang Zhu; Jie Cao 001; Changsheng Li; Zhiang Wu 001 (Multim. Tools Appl., 2017)

Online purchase decisions for tourism e-commerce. - Guixiang Zhu; Zhiang Wu 001; Youquan Wang; Shanshan Cao; Jie Cao 001 (Electron. Commer. Res. Appl., 2019)

Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. - Lei Chen; Zhiang Wu 001; Jie Cao 001; Guixiang Zhu; Yong Ge (ACM Trans. Intell. Syst. Technol., 2020)

Attentive multi-task learning for group itinerary recommendation. - Lei Chen; Jie Cao 001; Huanhuan Chen; Weichao Liang; Haicheng Tao; Guixiang Zhu (Knowl. Inf. Syst., 2021)

A multi-task learning approach for improving travel recommendation with keywords generation. - Lei Chen; Jie Cao 001; Guixiang Zhu; Youquan Wang; Weichao Liang (Knowl. Based Syst., 2021)

Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors. - Guixiang Zhu; Youquan Wang; Jie Cao 001; Zhan Bu; Shuxin Yang; Weichao Liang; Jingting Liu (Knowl. Based Syst., 2021)

Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method. - Jie Cao 001; Youquan Wang; Jing He 004; Weichao Liang; Haicheng Tao; Guixiang Zhu (IEEE Trans. Ind. Informatics, 2021)

Inter- and Intra-Graph Attention Aggregation Learning for Multi-relational GNN Spam Detection. - Jiangnan Tang; Youquan Wang; Jie Cao 001; Haicheng Tao; Guixiang Zhu (ITQM, 2022)

Multi-view Graph Attention Network for Travel Recommendation. - Lei Chen; Jie Cao 001; Youquan Wang; Weichao Liang; Guixiang Zhu (Expert Syst. Appl., 2022)

MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords. - Shuxin Yang; Suxin Tong; Guixiang Zhu; Jie Cao 001; Youquan Wang; Zhengfa Xue; Hongliang Sun; Yu Wen (Knowl. Based Syst., 2022)

Compactness Preserving Community Computation Via a Network Generative Process. - Jie Cao 001; Yuyao Wang; Zhan Bu; Youquan Wang; Haicheng Tao; Guixiang Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

EPCG: An Elite Population Co-evolutionary Genetic Algorithm for Global Community Deception. - Shuxin Yang; Baizhen Chen; Guixiang Zhu (CCEAI, 2023)

Intra- and inter-association attention network-enhanced policy learning for social group recommendation. - Youquan Wang; Zhiwen Dai; Jie Cao 001; Jia Wu 001; Haicheng Tao; Guixiang Zhu (World Wide Web (WWW), 2023)

Extending influence maximization by optimizing the network topology. - Shuxin Yang; Jianbin Song; Suxin Tong; Yunliang Chen 002; Guixiang Zhu; Jianqing Wu 002; Wen Liang (Expert Syst. Appl., 2023)

A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation. - Guixiang Zhu; Jie Cao 001; Lei Chen; Youquan Wang; Zhan Bu; Shuxin Yang; Jianqing Wu 002; Zhiping Wang (ACM Trans. Web, 2023)

Multi-objective reinforcement learning approach for trip recommendation. - Lei Chen; Guixiang Zhu; Weichao Liang; Youquan Wang (Expert Syst. Appl., 2023)

GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization. - Shuxin Yang; Xiaoyang Chang; Guixiang Zhu; Jie Cao 001; Weiping Qin; Youquan Wang; Zhendong Wang (Neurocomputing, 2023)

Multi-view Contrastive Learning for Next POI Recommendation. - Jin Zhang; Guixiang Zhu; Yihan Chen; Yiheng Lu; Xinyi Wang; Shi Feng (ICCDA, 2024)

Temporal Preference and Knowledge-Aware Collaborative Attentive Network for Electrical Material Recommendation. - Jie Shen; Lei Chen; Guixiang Zhu; Jie Cao 001; Weiping Qin; Yihan Chen; Yiheng Lu (WISE (3), 2024)

Neural attentive influence maximization model in social networks via reverse influence sampling on historical behavior sequences. - Shuxin Yang; Quanming Du; Guixiang Zhu; Jie Cao 001; Weiping Qin; Youquan Wang; Zhendong Wang (Expert Syst. Appl., 2024)

Keywords-enhanced Contrastive Learning Model for travel recommendation. - Lei Chen; Guixiang Zhu; Weichao Liang; Jie Cao 001; Yihan Chen (Inf. Process. Manag., 2024)

Balanced influence maximization in social networks based on deep reinforcement learning. - Shuxin Yang; Quanming Du; Guixiang Zhu; Jie Cao 001; Lei Chen; Weiping Qin; Youquan Wang (Neural Networks, 2024)

Self-supervised contrastive learning for itinerary recommendation. - Lei Chen; Guixiang Zhu (Expert Syst. Appl., 2025)

Multi-objective optimization approach for permanent magnet machine via improved soft actor-critic based on deep reinforcement learning. - Chen Wang; Tianyu Dong; Lei Chen; Guixiang Zhu; Yihan Chen (Expert Syst. Appl., 2025)

Intent-aware knowledge graph-based model for electrical power material recommendation. - Lin Zhao; Ning Luan; Weihua Cheng; Shuming Feng; Hui Wang; Yongcheng Yang; Guixiang Zhu (PeerJ Comput. Sci., 2025)

Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model. - Haobin Cao; Guixiang Zhu; Huanhuan Chen; Zilong Su; Ruizhe Chen; Hongda An; Chen Wang (World Wide Web (WWW), 2025)

Exploiting attributes and keywords for session-based recommendation with multi-view graph neural network. - Lei Chen; Xiaoping Zhu; Guixiang Zhu (Expert Syst. Appl., 2026)