深圳大学主页平台管理系统 lilinchao--英文主页--Scientific Research

李林超

Personal information

Highest Degree：Doctoral degree
Professional Title：Associate professor
Administrative Position：智慧交通系副主任

Scientific Research

英文主页 - Scientific Research

Vertical Project

[1] 国家自然科学基金,轨迹数据与多源特征协同驱动的定制化旅行时间预测方法研究,In research.
[2] 广东省自然科学基金,检-监测数据与物理模型混合驱动的地铁隧道结构安全评估方法研究,In research.
[3] 科技部,施工地质灾害灾变特征挖掘与临灾预警技术,In research.
[4] 广东省自然科学基金,基于多模态深度学习的地铁隧道结构病害辨识与性态预测方法研究,Completed.
[5] 深圳市科技创新委项目,基于多源异构数据融合驱动的地铁隧道表观病害识别方法研究,Completed.
[6] 国家重点研发计划,城市多源异构灾害时空大数据全过程挖掘方法,Completed.
[7] 深圳大学,智能网联交通环境下基于多源异构数据融合的道路行车舒适度评估方法研究,Completed.
[8] 广东省教育厅,智能网联交通环境下基于多源异构数据融合的道路服务水平评价方法研究,Completed.

Horizontal Project

[1] 石家庄铁道大学,青藏高速公路运营状态监测及智能诊断技术研究,In research.

Journal Paper

[1] Linchao Li.Jiasong Zhu*.Baoding Zhou.Wenqi Lu.Hanlin Liu.Xiang Lin.Displacement data imputation in urban internet of things system based on tucker decomposition with L2 regularization,IEEE Internet of Things Journal,2022-01-01.
[2] Linchao Li.Junhui Liu.Chaodong Zhang.Hanlin Liu.Haijun Zhou*.A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHMsystems,Structural Health Monitoring,2021-07-01.
[3] Linchao Li.Carlo G.Prato*.Yonggang Wang.Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier,Accident Analysis & Prevention,2020-09-01.
[4] Yi Lin.Linchao Li*.Hailong Jiang.Bin Ran.Dongye Sun.Automated traffic incident detection with a smaller dataset based on generative adversarial networks,Accident Analysis & Prevention,2020-09-01.
[5] Linchao Li.Hanlin Liu.Haijun Zhou*.Chaodong Zhang.Missing data estimation method for time series data in structure health monitoring systems by probability principal component analysis,Advances in Engineering Software,2020-09-01.
[6] Linchao Li.Yi Lin*.Bowen Du.Fan Yang.Bin Ran.Real-time traffic incident detection based on a hybrid deep learning model,Transportmetrica A: Transport Science,2020-08-01.
[7] Linchao Li.Haijun Zhou*.Hanlin Liu.Chaodong Zhang.Junhui Liu.A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems,Structural Health Monitoring,2020-07-01.
[8] Linchao Li.Xi Sheng.Bowen Du*.Yonggang Wang.Bin Ran.A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction,Engineering Applications of Artificial Intelligence,2020-05-01.
[9] Linchao Li.Huachun Tan*.Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model,Knowledge-Based Systems,2020-04-01.
[10] Linchao Li.Jiasong Zhu.Bin Ran.Bowen Du*.Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions,Applied Soft Computing,2020-04-01.

Patent Authorization

[1] Utility Models，地质雷达探测装置，ZL202222211495.5
[2] Invent，一种北斗定位长期监测数据的处理方法及系统，ZL202011379024.4
[3] Invent，一种结构健康监测高频数据异常值的确定方法及装置，ZL202111403417.9

Software Copyright Registration

[1] 基于张量分解的GNSS缺失数据恢复软件 V1.0，2023SR0919542，李林超，林翔
[2] 地铁盾构隧道渗漏水病害检测预警云平台 V1.0，2022SR1360187，李林超，刘家镇，鲍方胜
[3] 城市公路隧道火灾预警探测云平台软件 V1.0，2022SR0978040，李林超，易俊男，幸嘉宝
[4] 地铁隧道综合诊断与预警云平台 V1.0，2022SR0635221，李林超，鲍方胜，李心怡，易俊男
[5] 地铁隧道衬砌表观病害识别软件 V1.0，2022SR0978059，李林超
[6] 城市多源灾害大数据预处理及融合服务平台 V1.0，2022SR0978000，李林超，鲍方胜