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李文根，博士，副教授，博士生导师。博士毕业于同济大学计算机科学与技术专业，同时参加同济大学与香港理工大学的双学位联合培养项目，获香港理工大学哲学博士学位。主要研究领域包括：时空智能、多模态AI，赋能城市计算、海洋计算、工业智能等领域。已发表研究论文80余篇，包括领域顶级期刊IEEE TKDE、IEEE TGRS、IEEE TITS、IEEE TAFFC、IEEE TSC和会议CVPR、ICDE。先后主持多项国家和省部级科研项目，入选上海浦江人才计划。目前是中国计算机学会(CCF)数据库专委会执行委员、上海市计算机视觉专委会副秘书长、IEEE会员、ACM会员。此外，还担任AAAI、KDD、ACML、PAKDD、MDM等国际会议程序委员会成员，以及IEEE Trans. on Knowledge and Data Engineering、ACMComputing Surveys、IEEE Trans. on Intelligent Transportation Systems、IEEEInternet of Things Journal、ACM Trans. on Cyber-Physical Systems、IEEE/ACMTrans. on Networking、IEEE Transactions on Big Data、软件学报、计算机科学等期刊的编委或审稿人。
ADMIS实验室依托于同济大学计算机科学与技术学院，专注于多模态AI、时空智能、生物医学、复杂网络系统等前沿领域研究。实验室汇聚了一支兼具深厚学术底蕴与丰富实战经验的精英团队，秉持着对基础研究的执着追求与跨学科合作的开放态度，矢志不渝地推动科技创新，攻克行业难题。近年来，ADMIS实验室在科研征途上成果丰硕，不仅深化了理论基础研究，更在海洋环境监测、基层社会治理现代化、药物分子创新发现、智能制造等多个实际应用场景取得了突破性成就，已成为推动相关领域发展的重要力量。我们诚挚邀请对上述研究方向感兴趣、矢志科研探索的同学加入我们的团队，共同开启智慧与创新的非凡旅程，携手为科技进步与社会发展贡献力量。（团队主页：https://admis-tongji.github.io）
1. 融合多源稀疏时空数据的广域海面温度预测方法研究，国家自然科学基金青年基金，2023/01-2025/12，主持
2. 面向上海城市容貌的公众情感态度研究，上海市科技创新行动计划软科学研究项目，2022/03-2023/02，主持
3. 城市交通状态规律性的量化及其因果关系研究，上海市浦江人才计划项目，2020/11-2022/10，主持
1. 融合多源稀疏时空数据的广域海面温度预测方法研究，国家自然科学基金青年基金，2023/01-2025/12，主持
2. 面向上海城市容貌的公众情感态度研究，上海市科技创新行动计划软科学研究项目，2022/03-2023/02，主持
3. 城市交通状态规律性的量化及其因果关系研究，上海市浦江人才计划项目，2020/11-2022/10，主持
[1] Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, and Philip S. Yu. OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 10.1109/TKDE.2026.3674110, 2026
[2] Mingrui Zhang, Hanchen Yang, Wengen Li, Xudong Jiang, Jihong Guan, Yichao Zhang, and Shuigeng Zhou. PiFormer: Towards Subseasonal SST Prediction with Spatial-Patched Inverted Transformer, Expert Systems with Applications, 316:131618, 2026
[3] Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou. CausalFormer: An Interpretable Transformer for Temporal Causal Discovery. IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(1): 102-115, 2025
[4] Yi Liu, WengenLi, Jihong Guan, Shuigeng Zhou, Yichao Zhang. Effective Cloud Removal for Remote Sensing Images by An Improved Mean-Reverting Denoising Model with Elucidated Design Space, CVPR, pp.17851-17861, 2025
[5] Shuyu Wang, Wengen Li, Hanchen Yang, Jihong Guan, Xiwei Liu, Yichao Zhang, Rufu Qin, Shuigeng Zhou. LLM4HRS:LLM-Based Spatiotemporal Imputation Model for Highly Sparse Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 63: 1-17, 2025
[6] Yangmin Li, Ruiqi Zhu, Wengen Li. CorMulT:A Semi-Supervised Modality Correlation-Aware Multimodal Transformer for Sentiment Analysis. IEEE Transactions on Affective Computing (TAFFC), 16(3): 2321-2333, 2025
[7] Hanchen Yang, Jiannong Cao, Wengen Li, Shuyu Wang, Hui Li, Jihong Guan, Shuigeng Zhou. Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies and Opportunities. ACM Transactions on Knowledge Discovery from Data (TKDD), 19(7): 140:1-140:47, 2025
[8] Hanchen Yang, Jiannong Cao, Wengen Li, Yu Yang, Xiaoyi Li, Lingbai Kong, Yichao Zhang, Jihong Guan, and Shuigeng Zhou. Towards Robust and Interpretable Spatial-Temporal Graph Modeling via Adaptive Contrastive Learning, ACM Transactions on Knowledge Discovery from Data (TKDD), 10.1145/3769297, 2025
[9] Xudong Jiang, Shuyu Wang, Wengen Li, Jihong Guan, Hanchen Yang,Yichao Zhang. STDMamba: Spatio-Temporal Decomposition Mamba for Long-Term Fine-Grained Sea Surface Temperature Prediction, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 10.1109/TGRS.2025.3624051, 2025
[10] Jiaqi Wang, Wengen Li, Yulou Shu, Jihong Guan,Yichao Zhang, Shuigeng Zhou. Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction. ACM Transactions on Knowledge Discovery from Data (TKDD), 19(7): 143:1-143:20, 2025
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同济大学