上海师范大学智能社会与科学计算科研团队依托上海市科委智能教育大数据工程技术研究中心建设,自 2024 年成立以来,一直致力于 AI4S 的研究,以图神经网络、计算机视觉、时序网络、大语言模型等新一代人工智能技术为基础,聚焦社会计算与科学计算的智能化,主要研究领域包括:
科研团队负责人为赵勤副教授,团队成员包括廉洁副教授、安冬冬博士、祁宏达博士、田月博士等。团队主持了包括国家重点研发计划子课题、国家自然科学基金项目、以及上海市科委、教委、经信委课题在内的多项国家级、省部级项目,在研项目经费超 500 万元,多位教师入选省部级人才计划,在 IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Computational Social Systems, Expert Systems with Applications, Neurocomputing, Geophysical Research Letters, International Joint Conference on Artificial Intelligence (IJCAI) 等高水平学术期刊和会议上发表论文 70 余篇,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。
团队坚持以立德树人为根本任务,目前已培养硕士研究生 17 人,多人次获国家奖学金、上海市优秀毕业生、上海师范大学优秀毕业生等荣誉,获得多项全国数模竞赛、研究生电子设计竞赛等奖项。
2025-10-02 廉洁、王孝等论文 "AirMamba: A Deep Learning Framework for Long-Term PM2.5 Forecasting Integrating Multi-Scale Correlations and Time-Frequency Dynamics" 被 ESWA 录用
2025-04-29 赵勤、廉洁等荣获2024年度上海市科技进步奖二等奖
2025-04-29 吴沛晗、祁宏达等论文 "Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation" 被 IJCAI 2025 录用
2025-02-26 廉洁、邵嘉豪等论文 "Multi-modal Fusion Learning for Predicting Tropical Cyclone Intensity over Western North Pacific" 被 IEEE J-STARS 录用
2025-02-09 安冬冬、杨毅等论文 "Reinforcement Learning-Based Secure Training for Adversarial Defense in Graph Neural Networks" 被 Neurocomputing 录用
2025-01-29 赵勤、刘嘉俊等论文 "Spatiotemporal PM2.5 Forecasting via Dynamic Geographical Graph Neural Network" 被 Environmental Modelling and Software 录用
2024-11-29 廉洁、黄司戎等论文 "TerraWind: A Deep Learning‐Based Near‐Surface Winds Downscaling Model for Complex Terrain Region" 被 Geophysical Research Letters 录用
2024-10-06 赵勤、吴沛晗等论文 "Sociological-Theories-Based Multi-Topic Self-Supervised Recommendation" 被 IEEE TNNLS 录用
2024-04-06 廉洁、吴世鑫等论文 "A Novel Sequence-to-Sequence Based Deep Learning Model for Satellite Cloud Image Time Series Prediction" 被 Atmospheric Research 录用
2024-04-01 赵勤、黄静怡等论文 "A Multiinterest and Social Interest-Field Framework for Financial Security" 被 IEEE TCSS 录用