代表性论文或专著 ● Jiafeng Zhou#, Peiying Li#, Yongchang Liu#, Shikui Tu*, Bing Zhao, Jieqing Wan, Yongchun Chen, Yunjun Yang, and Lei Xu. "GN-Net: A Geometric and Neighborhood-aware Network for Predicting Intracranial Aneurysm Rupture Risk and Assisting Clinical Decision-Making", Interdisciplinary Sciences: Computational Life Sciences, 2025. (# Co-first author) ● Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu*, Bing Zhao, Jieqing Wan, Yunjun Yang*, and Lei Xu*. "A deep learning method for end-to-end prediction of intracranial aneurysm rupture risk", Patterns 4, 100709, May 12, 2023. ● Peiying Li, Yongchang Liu, Shikui Tu*, and Lei Xu*. "GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction", in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), Main Track, Pages 4821-4828, 2023. ● Yongchang Liu#, Peiying Li#, Shikui Tu*, and Lei Xu*. "RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction", in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 20, no. 5, pp. 3314-3321, 1 Sept.-Oct. 2023. (# Co-first author) ● Yongchang Liu, Peiying Li, Shikui Tu*, and Lei Xu*. "PEST: A General-Purpose Protein Embedding Model for Homology Search", in IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023. ● Peiying Li, Boheng Cao, Shikui Tu*, and Lei Xu*. "RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection", in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 334-339, 2022. |