Yihong Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2022–2024
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | WWW | Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. | Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla |
| 2024 | WWW | HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. | Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, Nitesh V. Chawla |
| 2023 | IJCAI | Graph-based Molecular Representation Learning. | Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla |
| 2022 | CIKM | Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. | Yihong Ma, Patrick Grard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla |
| 2022 | IJCAI | Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla |
| 2022 | RE | RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers. | Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh V. Chawla, Jane Cleland-Huang |