杨扩
博士、助理研究员、讲师
博士、助理研究员、讲师
办公电话: | 电子邮件: kuoyang@bjtu.edu.cn |
通讯地址:北京市海淀区北京交通大学 | 邮编:100044 |
主要研究兴趣:知识图谱、人工智能、复杂网络及医学应用等。
科研情况:团队已在Nucleic Acids Research、Briefings in Bioinformatics、Knowledge Based Systems、Journal of the American Medical Informatics Association、IEEE Journal of Biomedical and Health
Informatics、IEEE-ACM Transactions on
Computational Biology and Bioinformatics、Artificial
Intelligence in Medicine、Journal of Biomedical
Informatics等期刊上发表SCI论文30余篇。
招生信息:团队科研氛围良好,欢迎感兴趣、具有计算机/数学等信息科学背景的同学加入本团队,可与我邮件联系(简历+成绩单)
2022-至今,北京交通大学计算机与信息技术学院,讲师
2020.1-2022.1,清华大学自动化系控制科学与工程,博士后,合作导师:李梢教授
横向课题
*代表通讯作者;#代表共同第一作者。
2024
X Wang, K Yang*, T Jia, F Gu, C Wang, K Xu, Z Shu, J Xia, Q Zhu, X Zhou*, KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition, Briefings in Bioinformatics, 2024, 25(3): bbae161, doi: https://doi.org/10.1093/bib/bbae161. 2024.04.11. (SCI, 中科院Top期刊, IF=9.5, CCF B)
X Dong, C Zhao, X Song, L Zhang, Y Liu, J Wu, Y Xu, N Xu, J Liu, H Yu*, K Yang*, X Zhou*, PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning, Journal of the American Medical Informatics Association, 2024, ocae066, doi: https://doi.org/10.1093/jamia/ocae066. 2024.04.10. (SCI, 中科院Top期刊, IF=6.4, CCF B)
Y Chen, J Zhang*, Y Lu*, K Yang, H Liu, Y Liang. Multi-Stage Fusion Framework for Short-Term Passenger Flow Forecasting in Urban Rail Transit Systems Using Multi-Source Data, Transportation Research Record, 2024, doi: 10.1177/03611981231224740. (SCI), 2024.1.31
H Qu#, AL Shen#, K Yang#, M Huang, H Li, W Yang, S Fan, L Tan, J Wang, Y Peng, J Chu, J Peng, C Fu*, L Long*, K Chen. Efficacy and safety of Qingda granule versus valsartan capsule in Chinese grade 1 hypertensive patients with low-moderate risk: A randomized, double-blind, double dummy, non-inferiority, multi-center trial, Pharmacological Research, 2024, 200:107052. (SCI, 中科院Top期刊,An1, IF=9.3), 2024.1.4
2023
K Yang#, Y Yang#, S Fan#, J Xia, Q Zheng, X Dong, J Liu, Q Liu, L Lei, Y Zhang, B Li, Z Gao, R Zhang, B Liu, Z Wang*, X Zhou*. DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning, Briefings in Bioinformatics, 2023, 24(1): bbac518. (SCI, An1, IF=13.99), 2023.1.19, Codes: https://github.com/yangkuoone/DRONet
S Zhang#, K Yang#, Z Liu, X Lai, Z Yang, J Zeng, S Li*. DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms, Briefings in Bioinformatics, 2023, 24(1): bbac526. (SCI, An1, IF=13.99), 2023.1.19
2022
专委会学术兼职
期刊/会议审稿人
Connection Science: 2023-至今
Computers in Biology and Medicine: 2023-至今
毕业硕士生(联合指导)
在读博士生(联合指导)
在读硕士生
本科毕设指导
竞赛指导
2023.10,段鹏博、苏鑫;第九届中国健康信息处理会议(CHIP 2023),评测任务第一名(基于ChatGPT集成学习的医疗知识问答评测)
2022.10,苏鑫、程闯;第八届中国健康信息处理会议(CHIP 2022),评测任务第二名(基于数据增强的小样本疾病基因信息抽取研究)
2020.11,贾婷、杨玉霞、卢熙;2020年全国知识图谱与语义计算大会(CCKS 2020),评测任务第二名(新冠科研抗病毒药物图谱的链接预测)
大创项目指导