Guofang Ma

According to our database, Guofang Ma authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

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