胡吉林 - 华东师范大学 - 数据科学与工程学院

个人简介

胡吉林，华东师范大学数据科学与工程学院，教授、博士生导师、紫江优秀青年学者。2022年入选国家级青年人才计划。曾担任奥尔堡大学长聘副教授，长聘教轨助理教授，阿联酋起源人工智能研究院担任研究员，加州伯克利分校访问学者。研究方向主要是时空数据管理与分析，交通分析及预测，图神经网络，已在CCF推荐A类国际期刊或会议论文多篇，曾获得ICDE 2022最佳论文奖。团队学生获得2024浦源大模型系列挑战赛（春季赛）行业应用奖。受邀担任了ACM SIGSPATIAL 2023-2024 Treasurer Co-Chair，PVLDB 2020 Session Chair，SpatialDI’21 专题主席，SpatialDI’23 海外论坛主席。现/曾担任IEEE TKDE，VLDB J，IEEE TIP，IEEE TNNLS，Neurocomputing，GeoInformatica等国内外顶级/重要学术期刊评审专家，CVPR’21-22，ICCV’21，AAAI’21-22，ICDE’23，KDD’22-23, IJCAI’23，CIKM’20-23等顶级/重要国际学术会议程序委员会委员。教育经历 2015-2019 计算机科学，哲学博士，丹麦奥尔堡大学，导师: Prof. Christian S. Jensen，杨彬教授 2011-2014 控制科学与工程，工学硕士，上海交通大学，导师：胡士强教授工作经历 2023-至今: 华东师范大学，教授 2022-2023: 丹麦奥尔堡大学，长聘副教授 2020-2022: 丹麦奥尔堡大学，助理教授社会兼职 IEEE Computer Society丹麦分会主席 ACM SIGSPATIAL中国分会执行委员 CCF 数据库专委会执行委员 CAAI 智能服务专业委员会委员荣誉及奖励 2022年国家级青年人才计划 ICDE 2022 最佳论文奖 2023 ACM SIGSPATIAL CHINA 新星奖实验室学生团队获得 2024 浦源大模型系列竞赛（春季赛）行业应用奖---AnnounceChat

研究领域

时空数据管理与分析图学习科学智能（AI4Science）大模型应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Yan Lin, Huaiyu Wan, Jilin Hu*, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen, Origin-Destination Travel Time Oracle for Map-based Services, SIGMOD 2024, To appear. Xiangfei Qiu, Jilin Hu*, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng and Bin Yang, TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods, PVLDB 2024, To appear. Minbo Ma, Jilin Hu, Christian S Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li, Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting, ICDE 2024, To appear. Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S Jensen, Youfang Lin, Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding, TKDE 2023, 10.1109/TKDE.2023.3347513. Sean Bin Yang, Jilin Hu*, Chenjuan Guo, Bin Yang, Christian S. Jensen, LightPath: Lightweight and Scalable Path Representation Learning, KDD 2023, pp. 2999–3010. Di Qi, Jilin Hu*, Jianbing Shen, Few-Shot Object Detection with Self-Supervising and Cooperative Classifier, TNNLS, doi: 10.1109/TNNLS.2022.3204597. Sean Bin Yang, Chenjuan Guo, Jilin Hu*, Bin Yang, Jian Tang, Christian S. Jensen, Temporal Path Representation Learning with Weakly-supervised Contrastive Curriculum Learning, ICDE 2022: 2873-2885. Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu*, W.J. (Chris) Zhang. Residual memory inference network for regression tracking with weighted gradient harmonized loss, Information Sciences, 2022, 597: 105-124 Frederik Mathiesen, Bin Yang, Jilin Hu*, Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems, AAAI 2022: 4575-4582. Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu, Evolutionary Clustering of Moving Objects, ICDE 2022: 2399-2411 (Best Paper Award). Sean Bin Yang, Chenjuan Guo, Jilin Hu*, Jian Tang, Bin Yang, Path Representation Learning via Sequential Mutual Information Maximization, IJCAI 2021: 3286-3292. Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Hui Xiong, Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks, ICDE 2020: 1417-1428. Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Stochastic Weight Completion for Road Networks using Graph Convolutional Networks, ICDE 2019: 1274-1285. Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Risk-aware path selection with time-varying, uncertain travel costs: a time series approach, VLDB J. 27(2): 179-200 (2018). Jilin Hu, Bin Yang, Christian S. Jensen, and Yu Ma, Enabling time-dependent uncertain eco-weights for road networks, GeoInformatica, 21(1): 57{88 (2017).