廉洁
Lian Jie

个人简介

廉洁，副教授，计算机科学与技术系副主任，上海师范大学人工智能教育研究院成员，中国气象局上海台风研究所客座研究员，ACM/IEEE 会员。

曾获上海市青年科技英才扬帆人才计划，主持及参与国家级科研项目四项、省部级科研项目四项、上海市一流本科课程一项、上海师范大学教研项目三项。研究方向为时空数据挖掘、机器学习、深度学习。

曾在 TNNLS, TGRS, ESWA, GRL, J-STARS, ENVSOFT 等国际知名期刊发表学术论文二十余篇，申请专利三项，曾在 ICCCN, ICCM 等国际会议担任分会主席，获上海市科技进步奖二等奖一项，上海市计算机学会科技进步奖一等奖一项。

科研成果

代表性论文

2026年

• Decomposed Nowcasting of Tropical Cyclone Satellite Cloud Imagery via Deteministic-Probabilistic Ensemble Learning
  S. Huang, H. Yu, Q. Zhao*, X. Wang, P. Wu, X. Wang, P. Chen, and J. Lian*
  IEEE Transactions on Geoscience and Remote Sensing, 2026
• AirMamba: A Deep Learning Framework for Long-Term PM_2.5 Forecasting Integrating Multi-Scale Correlations and Time-Frequency Dynamics
  J. Lian, X. Wang, S. Huang, D. Wang, and Q. Zhao*
  Expert Systems with Applications, vol. 299, no. 129937, 2026

2025年

• Multi-modal Fusion Learning for Predicting Tropical Cyclone Intensity over Western North Pacific
  J. Lian, J. Shao, H. Yu, R. Chen, S. Huang, G. Chen, and Q. Zhao*
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025
• Spatiotemporal PM2.5 forecasting via dynamic geographical Graph Neural Network
  Q. Zhao, J. Liu, X. Yang, H. Qi, and J. Lian*
  Environmental Modelling & Software, vol. 186, p. 106351, 2025
• IRSD-Net: An Adaptive Infrared Ship Detection Network for Small Targets in Complex Maritime Environments
  Y. Sun and J. Lian
  Remote Sensing, vol. 17, no. 15, p. 2643, 2025
• A Deep Learning-Based Long-Term ENSO Forecasting Model: 3D-STransformer
  J. Lian, X. Wu, S. Huang, and Z. Chang
  Journal of Geophysical Research: Machine Learning and Computation, vol. 2, no. 3, 2025

2024年

• HGNN-QSSA: Heterogeneous Graph Neural Networks with Quantitative Sampling and Structure-aware Attention
  Q. Zhao, Y. Miao, D. An, J. Lian, and M. Li
  IEEE Access, 2024
• Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification
  Q. Zhao, F. Yang, D. An, and J. Lian
  Sensors, vol. 24, no. 2, p. 418, 2024
• Sentiment Analysis Based on Heterogeneous Multi-Relation Signed Network
  Q. Zhao, C. Yu, J. Huang, J. Lian, and D. An
  Mathematics, vol. 12, no. 2, p. 331, 2024
• Louvain-Based Fusion of Topology and Attribute Structure of Social Networks
  Q. Zhao, Y. Miao, J. Lian, X. Li, and D. An
  Computing and Informatics, vol. 43, no. 1, pp. 94-125, 2024
• A novel sequence-to-sequence based deep learning model for satellite cloud image time series prediction
  J. Lian, S. Wu, S. Huang, and Q. Zhao
  Atmospheric Research, p. 107457, 2024
• TerraWind: A deep learning-based near-surface winds downscaling model for complex terrain region
  J. Lian, S. Huang, J. Shao, P. Chen, S. Tang, Y. Lu and H. Yu*
  Geophysical Research Letters, vol. 51, e2024GL112124, 2024
• Sociological-Theory-Based Multitopic Self-Supervised Recommendation
  Q. Zhao, P. Wu, G. Liu, D. An, J. Lian*, and M. Zhou
  IEEE Transactions on Neural Networks and Learning Systems, 2024

2023年

• A sequence-to-sequence based multi-scale deep learning model for satellite cloud image prediction
  J. Lian and R. Chen
  Earth Science Informatics, 2023
• An Improved Fire and Smoke Detection Method Based on YOLOv7
  J. Lian, X. Pan, and J. Guo
  International Conference on Computer Communications and Networks (ICCCN), 2023
• 基于多核支持向量机的句子分类算法研究
  肖开研 and 廉洁
  华东师范大学学报（自然科学版）, 2023

2022年

• Tropical Cyclone Track Prediction with an Encoding-to-Forecasting Deep Learning Model
  P. Dong, J. Lian*, H. Yu, J. Pan, Y. Zhang, and G. Chen
  Weather and Forecasting, 2022

2021年

• Community Detection and Analysis in Air Pollution Complex Network Based on LPA
  J. Lian*, X. Ding, and J. Pan
  International Conference on Computer Communications and Networks (ICCCN), 2021
• Pronunciation augmentation for Mandarin-English code-switching speech recognition
  Y. Long, S. Wei, J. Lian, and Y. Li
  EURASIP Journal on Audio, Speech, and Music Processing, vol. 2021, no. 1, 2021

2020年

• A Multi-Dimensional Recommendation Scheme in Social Networks Considering a User Relationship Strength Perspective
  B. Zhang, Y. Zhang, Y. Bai, J. Lian*, and M. Li*
  Computing and Informatics, vol. 39, 2020
• Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks
  B. Zhang*, H. Zhang, G. Zhao, J. Lian*
  Environmental Modelling & Software, vol. 124, p. 104600, 2020
• A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection
  J. Lian*, P. Dong, J. Pan, Y. Zhang, and K. Liu
  IEEE Access, vol. 8, 2020
• A Novel Deep Learning Approach for Tropical Cyclone Track Prediction Based on Auto-Encoder and Gated Recurrent Unit Networks
  J. Lian*, P. Dong, J. Pan, and Y. Zhang
  Applied Sciences, vol. 10, 2020

2019年

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

2018年

• SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data?
  J. Lian*, S. Miao, M. P. McGuire, and Z. Tang
  International Conference on Conceptual Modeling, pp. 275-284, 2018

2017年

• FunnelCloud: a cloud-based system for exploring tornado events
  J. Lian, M. P. McGuire, and T. W. Moore
  International Journal of Digital Earth, 2017
• HydroCloud: A Web Application for Exploring Stream Gage Data
  M. C. Roberge, M. P. Mcguire, and J. Lian
  Journal of Open Research Software, vol. 5, no. 2, 2017

2016年

• Mining Persistent and Dynamic Spatio-Temporal Change in Global Climate Data
  J. Lian and M. P. McGuire
  International Conference on Information Technology: New Generations, 2016
• Channeling the water data deluge: a system for flexible integration and analysis of hydrologic data
  M. P. McGuire, M. Roberge, and J. Lian
  International Journal of Digital Earth, vol. 9, no. 3, pp. 272-299, 2016

2014年

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

授权发明专利

• 基于自编码器和GRU神经网络的热带气旋轨迹预测方法，专利号：CN111242351A，2020
• 一种热带气旋卫星云图深度学习预测方法，专利号：CN202211209247.5，2023
• 一种基于深度学习算法的热带气旋轨迹预测方法，专利号：CN202210336837.8，2023
• 一种基于深度学习的遥感图像去雾方法、设备和介质，专利号：2024105876716
• 一种基于多模态数据的热带气旋强度预测方法及其系统，专利号：202411475726.0
• 一种基于深度学习的近地表风场降尺度方法，专利号：202410854493.9
• 基于多头时空注意力机制的 ENSO 长期预测方法、设备和介质，专利号：202411800614.8

科研项目

• 国家自然科学基金专项项目：面向西北太平洋台风次季节预测的物理-数据双驱动耦合机制研究（国家级），在研，项目负责人
• 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），结题，项目负责人
• 上海市青年科技英才扬帆计划项目：面向热带气旋的多模态数据特征分析与学习（省部级），结题，项目负责人
• 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），结题，项目负责人
• 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），结题，项目负责人
• 上海师范大学校级一般科研项目：面向超大城市防台防汛的AI驱动快速预报研究—以上海为例（子项目）（校级），在研，项目负责人
• 国家自然科学基金委员会，面上项目，沿海城市极端风暴洪水动态风险情景分析—以上海为例（国家级），在研，主要参与者
• 国家自然科学基金委员会，面上项目，低资源条件下的重口音鲁棒性声学建模关键技术研究（国家级），在研，主要参与者
• Towson University School of Emerging Technologies：HydroCloud：An Online Integrative Tool for Hydrologic Data，结题，主要参与者
• National Science Foundation：Global Urban Soil Ecology and Education Network，结题，主要参与者

教研项目

• 2019年骨干教师教学激励计划协同创新教研团队建设项目，主要参与者
• 2020年上海师范大学本科教学改革项目,"数据科学与大数据技术微专业建设"，主要参与者
• 2021年大学计算机课程教学改革项目，"面向师范生的数据挖掘与应用课程建设"，主要参与者
• 2022年校级本科教学改革项目，"面向师范生的数据挖掘与应用课程建设"，项目负责人
• 2022年上海市一流课程，"面向师范生的数据挖掘与应用课程建设"，主要参与者

荣誉奖励

• 2024年上海市科技进步奖二等奖
• 2024年上海市计算机学会科技进步奖一等奖

社会兼职

• ACM/IEEE 会员
• 国际高水平学术期刊审稿专家，包括：Transactions on Knowledge Discovery from Data, Weather and Forecasting, Engineering Applications of Artificial Intelligence, Expert Systems with Applications等国际顶级期刊