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Kun Li

Kun Li (李 坤)

Affiliation:单位： Wuhan University / 武汉大学

Research Areas:研究方向： Drug Discovery, Graph Computing / 药物发现，图计算

Email:邮箱： likun98@whu.edu.cn

Google Scholar:谷歌学术： https://scholar.google.com/citations?user=5_BwejYAAAAJ&hl=zh-CN&authuser=1

发表论文Publications (8)

Paper 1
Can Molecular Evolution Mechanism Enhance Molecular Representation? 分子进化机制能增强分子表征吗？
Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong, Xiantao Cai, Wenbin Hu*, Jia Wu - AAAI 2025
arXiv GitHub
Paper 2
Contrastive learning-based drug screening model for GluN1/GluN3A inhibitors 基于对比学习的GluN1/GluN3A抑制剂药物筛选模型
Kun Li, Yue Zeng, Yi-da Xiong, Hao-chen Wu, Sui Fang, Zhi-yan Qu, Yan Zhu*, Bo Du*, Zhao-bing Gao*, Wenbin Hu* - Acta Pharmacologica Sinica 2025
arXiv GitHub
Paper 3
Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities 深度学习在小分子药物发现中的进展、挑战与机遇
Kun Li, Yida Xiong, Hongzhi Zhang, Xiantao Cai, Bo Du, Wenbin Hu* - ICWS 2025
arXiv GitHub
Paper 4
Contrastive learning drug response models from natural language Supervision 基于自然语言监督的对比学习药物反应模型
Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu* - IJCAI 2024
arXiv GitHub
Paper 5
Zero-shot learning for preclinical drug screening 用于临床前药物筛选的零样本学习
Kun Li, W Liu, Y Luo, X Cai, J Wu, W Hu* - IJCAI 2024
arXiv GitHub
Paper 6
Sequence-Free for Compound Protein Interaction Prediction 无序列化合物蛋白相互作用预测
Hongzhi Zhang, Jiameng chen,Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu*, Jia Wu - IJCAI 2024
arXiv GitHub
Paper 7
Collaborative Drug Design Based on A Drug-Drug Interaction-Guided Diffusion Model 用于临床前药物筛选的零样本学习
C Hu, Kun Li, L Hu, Y Xiong, X Cai, W Hu* - IJCAI 2024
arXiv GitHub
Paper 8
Research Journey of Generative Protein Modeling 用于临床前药物筛选的零样本学习
Xinhui Chen, Yiwen Yuan, Joseph Liu, Chak Tou Leong, Zhen Xie, Xiaoye Zhu, Ying Chen, Songyue Chen, Chenyi Wang, Kun Li, Jie Zhang, Zuchao Li, Jiaqi Chen* - NIPS, WorkShop, Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond 2024
arXiv GitHub

预印论文Arxiv Publications (8)

Paper 2
MMCDS: A Multi-Stage and Multi-Model Hybrid Screening Solution for Male Contraception MMCDS：一种多阶段、多模型的男性避孕混合筛查方案
Kun Li, Kun Li, Lin Miao, Yida Xiong, Yating Xu, Junheng Zhu, Heyong Hu, Lei Xu, Xiangyu Wang, Yi Liu, Mengcheng Luo, Wenbin Hu* / 2025
arXiv GitHub
Paper 2
BSL: A Unified and Generalizable Multitask Learning Platform for Virtual Drug Discovery from Design to Synthesis 百生来：从设计到合成——用于虚拟药物筛选的多任务学习综合研发平台
Kun Li, Zhennan Wu, Yida Xiong, Hongzhi Zhang, Longtao Hu, Zhonglie Liu, Junqi Zeng, Wenjie Wu, Mukun Chen, Jiameng Chen, W Hu* / 2025
arXiv GitHub
Paper 2
DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery 用于临床前药物筛选的零样本学习
Kun Li, Z Wu, S Wang, W Hu* / 2025
arXiv GitHub
Paper 2
Hierarchical Bayesian Flow Networks for Molecular Graph Generation 层次贝叶斯流网络用于分子图生成
Y Xiong, Jiameng chen, Kun Li, Hongzhi Zhang, Xiantao Cai, Wenbin Hu W Hu* / 2025
arXiv GitHub
Paper 2
Text-guided multi-property molecular optimization with a diffusion language model 用于临床前药物筛选的零样本学习
Y Xiong, Kun Li, J Chen, H Zhang, D Lin, Y Che, W Hu* / 2024
arXiv GitHub
Paper 2
Fragment-Masked Diffusion for Molecular Optimization 用于临床前药物筛选的零样本学习
Kun Li, X Cai, J Wu, S Pan, H Xu, B Du, W Hu* / 2024
arXiv GitHub
Paper 2
Regressor-free Molecule Generation to Support Drug Response Prediction 用于临床前药物筛选的零样本学习
Kun Li, X Gong, S Pan, J Wu, B Du, W Hu* / 2024
arXiv GitHub
Paper 2
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation 用于临床前药物筛选的零样本学习
Y Li*, Kun Li, Y Zhang, L Wang, D Zhang / 2024
arXiv GitHub

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