HeTDR: Drug repositioning based on heterogeneous networks and text mining. - Shuting Jin; Zhangming Niu; Changzhi Jiang; Wei Huang; Feng Xia 007; Xurui Jin; Xiangrong Liu; Xiangxiang Zeng (Patterns, 2021)

Prompt-Guided Injection of Conformation to Pre-trained Protein Model. - Qiang Zhang 026; Zeyuan Wang; Yuqiang Han; Haoran Yu; Xurui Jin; Huajun Chen (CoRR, 2022)

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. - Fang Wu 002; Qiang Zhang 026; Dragomir R. Radev; Yuyang Wang; Xurui Jin; Yinghui Jiang; Zhangming Niu; Stan Z. Li (CoRR, 2022)

A Score-based Geometric Model for Molecular Dynamics Simulations. - Fang Wu 002; Qiang Zhang 026; Xurui Jin; Yinghui Jiang; Stan Z. Li (CoRR, 2022)

Multi-level Protein Structure Pre-training via Prompt Learning. - Zeyuan Wang; Qiang Zhang 026; Shuangwei Hu; Haoran Yu; Xurui Jin; Zhichen Gong; Huajun Chen (ICLR, 2023)

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Xurui Jin; Yinghui Jiang; Dragomir Radev; Zhangming Niu; Stan Z. Li (ICML, 2023)

Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir Radev; Yinghui Jiang; Xurui Jin; Zhangming Niu; Stan Z. Li (CoRR, 2023)

An extensive benchmark study on biomedical text generation and mining with ChatGPT. - Qijie Chen; Haotong Sun; Haoyang Liu; Yinghui Jiang; Ting Ran; Xurui Jin; Xianglu Xiao; Zhimin Lin; Hongming Chen 001; Zhangming Niu (Bioinform., 2023)