廉洁
Jie Lian

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。

• 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

代表性论文：

2026年：

1. S. Huang, H. Yu, Q. Zhao*, X. Wang, P. Wu, X. Wang, P. Chen, and J. Lian*, "Decomposed Nowcasting of Tropical Cyclone Satellite Cloud Imagery via Deteministic-Probabilistic Ensemble Learning," IEEE Transactions on Geoscience and Remote Sensing, 2026
2. J. Lian, X. Wang, S. Huang, D. Wang, and Q. Zhao*, "AirMamba: A Deep Learning Framework for Long-Term PM2.5Forecasting Integrating Multi-Scale Correlations and Time-Frequency Dynamics," Expert Systems with Applications, vol. 299, no. 129937, 2026

2025年：

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

2024年：

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

2023年：

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

2022年：

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

2021年：

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

2020年：

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

2019年：

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

2018年：

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

2017年：

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

2016年：

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

2014年：

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

• 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

• 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