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基本信息

  • 性别:
  • 聘任技术职务:讲师(高校)
  • 学历:研究生教育
  • 联系电话:18017897107
  • 电子邮箱:lianjie@shnu.edu.cn
  • 通讯地址:
  • 部门:信息与机电工程学院
  • 学位:工学博士学位
  • 毕业院校:陶森大学
  • 办公地址:

研究方向:
  • 时空数据挖掘

  • 时空数据可视化

  • 机器学习

  • 数据仓库

  • 深度学习

  • 气象变化检测


论文:

Lian, J., M. P. McGuire, and T. W. Moore (2017) “FunnelCloud: a cloud-based system for exploring tornado events.” International Journal of Digital Earth.

Lian, J., M. P. McGuire. (2016) “Mining Persistent and Dynamic Spatio-Temporal Change in Global Climate Data.” International Conference on Information Technology: New Generations. April 2016, Las Vegas, Nevada, USA.

McGuire, M. P., M. Roberge, and J. Lian. (2016) “Channeling the water data deluge: a system for flexible integration and analysis of hydrologic data.” International Journal of Digital Earth. 9:3 272-299.

McGuire, M. P., M. Roberge, and J. Lian. (2014) “HydroCloud: A Cloud-Based System for Hydrologic Data Integration and Analysis.” 5th International Conference on Computing for Geospatial Research (COM.Geo 2014). August 2014, Washington, D.C., USA.

Roberge, Martin C., M. P. Mcguire, and J. Lian. HydroCloud: A Web Application for Exploring Stream Gage Data. Journal of Open Research Software 5.2(2017).

Lian, J.*#,Miao S, McGuire MP, Tang Z. SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data?. In International Conference on Conceptual Modeling 2018 Oct 22 (pp. 275-284). Springer, Cham.,Xian, China.

Dong, Pingping , J. Lian , and Y. Zhang . A Novel Data-driven Approach for Tropical Cyclone Tracks Prediction Based on Granger Causality and GRU. 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) IEEE, 2019.

Bo Zhang, Ya Zhang, Yanhong Bai, Jie Lian*, Meizi Li*. A Multi-Dimensional Recommendation Scheme in Social Networks Considering a User Relationship Strength Perspective, Computing and Informatics, 2020, vol. 39. 

Bo Zhang*Hanwen Zhang, Gengming Zhao, Jie Lian*. Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks, Environmental Modelling & Software, 2020, Volume 124104600 

Jie Lian*, Pingping Dong, Jianguo Pan, Yuping Zhang, Kehao Liu. A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection, IEEE Access, 2020,Volume 8

Jie Lian*, Pingping Dong, Jianguo Pan, Yuping Zhang.A Novel Deep Learning Approach for Tropical Cyclone Track Prediction Based on Auto-Encoder and Gated Recurrent Unit Networks, Applied Sciences, 2020, Volume 10


科研项目:

  • [1]上海市2020年度“科技创新行动计划”自然科学基金项目:基于深度学习的全球性气候变化对台风关联效应分析关键技术研究(省部级),在研,项目负责人.

  • [2]上海市青年科技英才杨帆计划项目:面向热带气旋的多模态数据特征分析与学习(省部级),在研,项目负责人.

  • [3]上海高校青年教师培养资助计划项目:新时代中国特色的人工智能课程建设(市级),在研,项目负责人.

  • [4]上海师范大学校级一般科研项目:面向热带气旋的多模态数据特征分析与学习(校级),在研,项目负责人.

  • [5]Towson University School of Emerging Technologies: HydroCloud: An Online Integrative Tool for Hydrologic Data, 结题,主要参与者.

  • [6]National Science Foundation:Global Urban Soil Ecology and Education Network, 结题,主要参与者.


主要开设课程:

微机接口与汇编语言

大数据技术

操作系统

数据挖掘

计算机专业外语

人工智能导论


欢迎关注本课题组“智能大数据与物联网实验室” IBDI LAB!


(以下信息源于科研管理系统)

学术成果:
科研项目
  • [1] 廉洁.上海市青年科技英才扬帆计划:面向热带气旋的多模态数据特征分析与学习,在研.
  • [2] 廉洁.校一般科研项目:面向热带气旋的多模态数据特征分析与学习(校级),在研.

教学工作:
教职工课程信息
开课学年开课学期课程名称
2019-20203深度学习程序设计实训

荣誉奖励:

社会兼职: