Guofang Ma

According to our database, Guofang Ma authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Enhanced recommendation with hypergraph mixture of experts.

Zihao Zhou, Zhijun Chen, Guofang Ma, Zhenghong Lin, Yanchao Tan, Shiping Wang, Carl Yang

Expert Syst. Appl., 2026

2025

Profiling users with tag-enhanced spherical metric learning for recommendation.

Yanchao Tan, Hang Lv, Xinyi Huang, Guofang Ma, Chaochao Chen

Int. J. Mach. Learn. Cybern., September, 2025

DBFF-GRU: dual-branch temporal feature fusion network with fast GRU for multivariate time series forecasting.

Jinglei Li, Dongsheng Liu, Guofang Ma, Yaning Chen, Hongwei Jiang

Appl. Intell., May, 2025

Large Language Model Empowered Logical Relations Mining for Personalized Recommendation.

Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

D ${ }^{3}$: Delayed Default-Intention Based Default Prediction in Financial Loan Service.

Mengying Zhu, Mengyuan Yang, Guanjie Cheng, Guofang Ma

Proceedings of the IEEE International Conference on Web Services, 2025

Graph-Oriented Cross-Modality Diffusion for Multimedia Recommendation.

Jiamin Chen, Tanzheng Jiang, Zhenghong Lin, Guofang Ma, Yanchao Tan

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024

Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows.

Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data.

Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment.

Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations.

Hengyu Zhang, Hang Lv, Yanchao Tan, Guofang Ma, Fan Wang, Carl Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation.

Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction.

Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network.

Qianqiao Liang, Hua Wei, Yaxi Wu, Feng Wei, Deng Zhao, Jianshan He, Xiaolin Zheng, Guofang Ma, Bing Han

Frontiers Inf. Technol. Electron. Eng., March, 2023

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.

Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

A trust-aware latent space mapping approach for cross-domain recommendation.

Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Xiaoye Miao, Qianqiao Liang

Neurocomputing, 2021

2018

Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation.

Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Menghan Wang

IEEE Access, 2018