计算机与信息工程学院

林开标

   

       

技术职称: 教授

所获学位: 博士

研究方向: 大模型、知识图谱、图神经网络、医疗大数据

电子邮箱: kblin@xmut.edu.cn

个人简介: 男,博士,教授,硕士生导师,中国石油大学(华东)兼职博导,福建省医疗数据挖掘与应用工程技术研究中心执行主任,厦门理工学院公证数智化创新研究中心主任,福建省系统工程学会常务理事,福建省高层次人才,厦门市高层次人才。主要从事大模型、知识图谱、图神经网络和医疗大数据等研究。发表SCI/EI收录学术论文50余篇,授权国家发明专利10余项,获得福建省科技进步奖三等奖2项,厦门市科技进步奖二等奖1项,福建省教学成果二等奖1项,厦门理工学院第十届青年教师课堂教学竞赛二等奖1项。参与国家自然科学基金2项,主持福建省自然科学基金2项、市厅级项目7项、企事业单位委托项目10多项。曾任职于华为技术有限公司,在俄罗斯、委内瑞拉、厄瓜多尔、古巴等国家工作过四年多时间。

学习经历:

2013/09 - 2016/07,台湾元智大学,资讯学院、资讯工程专业,工学博士

2003/09 - 2006/07,厦门大学,信息科学与技术学院、系统工程专业,工学硕士

1999/09 - 2003/07,集美大学,信息工程学院、电子信息工程专业,工学学士

工作经历:

2023/08-至今,厦门理工学院,计算机与信息工程学院,教授

2016/11-2023/07,厦门理工学院,计算机与信息工程学院,副教授

2010/07-2016/10,厦门理工学院,计算机与信息工程学院,讲师

2006/07-2010/06,华为技术有限公司,南美北地区部BP&IT,部门主管

近年来承担的主要科研项目:

[1] 企业委托项目,基于人工智能的公证数智化关键技术研究与应用/ZK-HX240182024.01-2027.12,项目负责人。

[2] 企业委托项目,基于大模型的ASR多域适配与轻量化部署关键技术研发/ZK-HX251322025.09-2025.12,项目负责人。

[3] 福建省自然科学基金,面向医保欺诈检测的大规模异质信息网络构建及推理方法研究/2021J011188,起止时间:2021.11-2024.11,项目负责人。

[4] 福建省自然科学基金,面向儿科的医疗知识图谱构建关键技术研究/2018J01577,起止时间:2018.04-2021.04,项目负责人。

[5] 国家自然科学基金面上项目,海量移动对象情境查询与分析预测关键问题研究/61672442,起止时间:2017.01-2020.02,参与。

[6] 国家自然科学基金青年项目,基于弱监督学习的数字病理图像癌细胞检测与分割方法研究/61806173,起止时间:2019.01-2021.12,参与。

[7] 企业委托项目,“医保卫士”关键技术及系统开发/ZK-HX2001032020.01-2021.12,项目负责人。

[8] 企业委托项目,亿学教学管理平台研发/ZK-HX211402021.12-2022.12,项目负责人。

[9] 企业委托项目,基于NLP技术的药品说明书名片和规则抽取算法/ZK-HX220632022.3-2023.3,项目负责人。

[10] 企业委托项目,基于人工智能技术的中标合同解析项目/ZK-HX230352022.12-2023.12,项目负责人。


近年来发表的代表性学术论著:

[1] Shuai An, Binsheng Hong, Zhaori Guo, Shunzhi Zhu, Kaibiao Lin*, Fan Yang, "Simultaneously local and global contrastive learning of graph representations," Engineering Applications of Artificial Intelligence, vol. 145, 2025. (SCI Index)

[2] Liwei Zheng, Bin Dai, Fan Yang, Jie Xia, Kaibiao Lin*, Zhongqi Cai, "MFHNN-DDI: Molecular fragment-based hypergraph neural networks for drug-drug interaction prediction," Neurocomputing, 2025.

[3] Zhen-Ze Zhang, Shao-Rong Chen, Shen-Bao Yu, Jie Xia, Kai-Biao Lin*, Fan Yang, "MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning," Journal of Chemical Information and Modeling, 2025.(SCI Index)

[4] Kaibiao Lin, Fengxin Huang, Shuangta Zhuo, Qiqi Zhou, Dawei Pan, Shenbao Yu, Fan Yang, "Asymmetric drug interaction prediction via multi-scale fusion of directed topological relationships and drug features," Computational Biology and Chemistry, vol. 118, p. 108491, 2025.(SCI Index)

[5] Rende Hong, Kaibiao Lin, Binsheng Hong, Zhaori Guo, Fan Yang, "Multi-Scale Sub-graph View Generation and Siamese Contrastive Learning for Graph Representations," Applied Soft Computing, vol. 182, p. 113608, 2025.(SCI Index)

[6] Xin Chen, Yong Liu, Fei-Ping Hong, Ping Lu, Jiang-Tao Lu, Kai-Biao Lin, "Bayesian learning-based agent negotiation model to support doctor-patient shared decision making," BMC Medical Informatics and Decision Making, vol. 25, 2025.(SCI Index)

[7] Ping Lu, Liwei Zheng, Junpeng Lin, Zhongqi Cai, Bin Dai, Kaibiao Lin, Fan Yang., "MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for DrugDrug Interactions," Computational Biology and Chemistry, vol. 115, p. 108355, 2025.(SCI Index)

[8] Junpeng Lin, Binsheng Hong, Zhongqi Cai, Ping Lu, Kaibiao Lin*, "MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction," Frontiers in Pharmacology, vol. 15, 2024. (SCI Index)

[9] Kaibiao Lin, Runze Chen, Jinpo Chen, Ping Lu, and Fan Yang, "Multi-View Block Matrix-Based Graph Convolutional Network," Engineering Letters, vol. 32, pp. 1073-1082, 2024. (SCI Index)

[10] Binsheng Hong, Ping Lu, Hang Xu, Jiangtao Lu, Kaibiao Lin, Fan Yang, "Health insurance fraud detection based on multi-channel heterogeneous graph structure learning," Heliyon, vol. 10, p. e30045, May 15 2024. (SCI Index)

[11] Runze Chen, Kaibiao Lin*, Binsheng Hong, Shandan Zhang, Fan Yang, "Sparse graphs-based dynamic attention networks," Heliyon, vol. 10, p. e35938, 2024. (SCI Index)

[12] Binsheng Hong, Ping Lu, Runze Chen, Kaibiao Lin, Fan Yang, "Health Insurance Fraud Detection via Multiview Heterogeneous Information Networks With Augmented Graph Structure Learning," IEEE Transactions on Computational Social Systems, pp. 1-21, 2024.(SCI Index)

[13] Dawei Pan, Ping Lu, Yunbing Wu, Liping Kang, Fengxin Huang, Kaibiao Lin, Fan Yang, "Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion," Frontiers in Pharmacology, vol. 15, 2024. (SCI Index).

[14] Jiangtao Lu, Kaibiao Lin*, Ruicong Chen, Min Lin, Xin Chen, Ping Lu, Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism, BMC Medical Informatics and Decision Making 23(1), (2023) . (SCI Index).

[15] Kaibiao Lin, Jinpo Chen, Ruicong Chen, Fan Yang, Yang Zhang, Min Lin, Ping Lu, Adaptive Neighbor Graph Aggregated Graph Attention Network for Heterogeneous Graph Embedding, ACM Transactions on Knowledge Discovery from Data, (2023). (SCI Index).

[16] Kai-Biao Lin, Ying Wei, Yong Liu, Fei-Ping Hong, Yi-Min Yang, Ping Lu, , "An opponent model for agent-based shared decision-making via a genetic algorithm," Frontiers in Psychology, vol. 14, 2023.(SCI Index).

[17] Jiang-Tao Lu, Kai-Biao Lin*, Xin Chen, Jin-Po Chen, Multibehavioral Pattern-based Graph Neural Network with Topology Awareness to Detect Healthcare Fraud. Journal of Network Intelligence, 8(3), pp.895-912. (2023) (EI Index).

[18] Kaibiao Lin, Kang Liping, Yang Fan, Lu Ping, Lu Jiangtao, MFDA: Multiview fusion based on dual-level attention for drug interaction prediction. Frontiers in Pharmacology, 2022. 13. (SCI Index)

[19] Li-Ping Kang, Kai-Biao Lin*, Ping Lu, Fan Yang, Jin-Po Chen, "Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships," Plos One, vol. 17, p. e0273764, 2022.

[20] Kaibiao Lin, Liu Yong, Lu Ping, Yang Yimin, Fan Haiting, Hong Feiping, Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making. BMC Medical Informatics and Decision Making, 2022. 22(1). (SCI Index)

发明专利:

[1] 基于扩散图注意力网络的不对称药物相互作用预测方法,中国,发明专利,专利号:ZL 2025 1 0771829.X,2025.08.22(已授权)

[2] 基于多LoRA级联策略的HTML信息提取方法、装置、设备和介质,中国,发明专利,专利号:ZL 2025 1 0757602.X,2025.08.22(已授权)

[3] 基于软掩码双视图学习的药物对相互作用预测方法及装置,中国,发明专利,专利号:ZL 2024 1 1833234.4,2025.03.18(已授权)

[4] 基于多层注意力机制图神经网络的医保欺诈检测算法及其系统,中国,发明专利,专利号:ZL 2022 1 0121924.1,2025.06.27(已授权)

[5] 一种药物相互作用的预测方法、装置、设备和存储介质,中国,发明专利,专利号:ZL 2022 1 0094695.9,2025.04.29(已授权)

[6] 一种医保欺诈的识别方法、装置、设备和存储介质,中国,发明专利,专利号:ZL 2022 1 0085212.9,2025.02.28(已授权)

[7] 不对称药物相互作用关系的预测方法、装置、设备及介质,中国,发明专利,专利号:ZL 2024 1 1974878.5,2025.04.04(已授权)

[8] 医患共同决策多议题协商方法、系统及可读存储介质,发明专利,专利号:ZL 2021 1 0812074.52023.09.26(已授权)

[9] 一种基于深度学习的ICU患者电子病历分析方法及系统,中国,发明专利,专利号:ZL 2021 1 0349716.2,2022.5.10 (已授权)

[10] 一种电子病历分析装置和方法,中国,发明专利,专利号:ZL 2021 1 0348004.9, 2022.5.10(已授权)

[11] 一种面向医疗领域的中文智能问答短文本相似度计算方法,中国,发明专利,专利号:ZL 2020 1 0370543.8,2022.5.3 (已授权)

[12] 融合知识图谱与BERT的中文医学命名实体识别方法、装置,中国,发明专利,专利号:ZL 2020 1 1356803.2,2022.5.6 (已授权)


获奖:

(1) 福建省科技进步奖,三等奖,融合知识图谱的医疗保障基金监管平台关键技术,排名第一,2018

(2) 厦门市科技进步奖,二等奖,融合知识图谱技术的医疗保障基金监管平台关键技术研究,排名第一,2018

(3) 福建省科技进步奖,三等奖,融合多源数据的区域卫生信息综合平台关键技术研究与应用,福建省科技厅,排名第五,2016

(4) 福建省教学成果奖,二等奖,软件服务外包人才培养体系构建与实践,福建省教育厅,排名第五,2014

(5) 厦门理工学院第十届青年教师课堂教学竞赛,二等奖,2017


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