Research Interests
Interdisciplinary studies of artificial intelligence and science (AI for Science), including bioinformatics, medical image analysis, cheminformatics, and the design of new materials.
Research Topics
- Predicting subcellular localization, structure, function, and regulatory networks of biomacromolecules based on the analysis of biological sequences and microscopic images.
- Medical image understanding using semi-supervised and multi-modal learning techniques.
- Representation learning for compound molecules and chemical reactions.
- Intelligent design of new materials.
News
2024
| Date | News |
|---|---|
| Apr 17, 2024 | Yuyang's work ClusterDrop for addressing over-smoothing issue in GNNs is accepted by IJCAI 2024. Congratulations! |
| Apr 15, 2024 | Our GaCaMML paper is accepted by Artificial Intelligence in Medicine. Congratulations, Yuzhang and Guoshuai! |
| Mar 29, 2024 | Zebei, Guoshuai, Kuo, and Jingyao completed their Computer Science MS degree. Congratulations! |
| Feb 25, 2024 | Runhan's work RMVP for large-scale prepretraining of chemical reactions is published in Journal of Cheminformatics. Congratulations! |
| Feb 23, 2024 | Our CGMega paper is accepted by Nature Communications. Congratulations, Zebei! |
| Feb 22, 2024 | Our collaborative work CircSite on predicting circRNA-protein binding is published in Computers in Biology and Medicine. Congratulations! |
| Feb 10, 2024 | Guoshuai's work for designing new Al-Zn-Mg-Cu-Zr-Hf alloy is published in Materials Today Communications. Congratulations! |