这里收集了时空数据挖掘领域的顶尖学者信息，包括他们的研究领域、学术成就等。
Tsinghua University
Research Areas: Machine learning, deep learning, transfer learning, scientific machine learning
A leading researcher in time series, and deep learning. Notably, he developed the widely-used Time-Series-Library and OpenLTM for time series modeling and benchmarking.
View Google Scholar ProfileBeihang University
Research Areas: Data Mining, Spatio-temporal Data Mining, Urban Computing, COVID-19
A prominent expert in urban computing and spatiotemporal data mining. He developed the widely-used Bigscity-LibCity, PDFormer and ST-SSL for traffic flow forecasting.
View Google Scholar ProfileBeijing Jiaotong University
Research Areas: Spatial-Temporal Data Mining, Social Network Mining, Knowledge Graph Reasoning
An influential scholar in spatial-temporal data mining, he is the creator of PGN, a leading tool for long-range time series forecasting.
View Google Scholar ProfileUniversity of Science and Technology of China
Research Areas: Artificial intelligence, Wireless Network, Distributed System, Big Data
With expertise in spatiotemporal data mining and graph representation learning, he founded the Data Intelligence Laboratory and created TimeBase, a pioneering solution for time series forecasting.
View Google Scholar ProfileUESTC
Research Areas: Spatio-temporal Databases, AI4DB, Spatial Crowdsourcing
As a leading researcher in spatio-temporal databases, he gave a comprehensive review of Spatio-Temporal Foundation Models, proposed PatchSTG for large-scale traffic forecasting, and created STWave.
View Google Scholar ProfileHong Kong University of Science and Technology
Research Areas: Spatio-Temporal Data Mining, Urban Computing, Urban AI, Foundation Models, Time Series
An influential scholar in spatial-temporal data mining and time series, he is the creator of TimeVLM, a leading tool for augmented time series forecasting.
View Google Scholar ProfileInstitute of Computing Technology, Chinese Academy of Sciences
Research Areas: Spatial-Temporal Data Mining, Time Series Forecasting, Time Series Analysis, AI for Science
Leader of GestaltCog Lab, with many outstanding open-source projects such as Merlin, BLAST, and BasicTS+. The team also includes Zezhi Shao and Chengqing Yu.
View Google Scholar ProfileEast China Normal University
Research Areas: Spatial-Temporal Data Mining, Time Series Forecasting, Time Series Analysis, AI for Science
Director of the Decision Intelligence Lab, with several notable open-source projects such as TFB, DUET, Pathformer, ADFormer, K2VAE and CATCH. The core members of the team include Chenjuan Guo and Jilin Hu.
View Google Scholar Profile