We have compiled information on several leading scholars in the field of spatiotemporal data mining, including their research areas, academic contributions, and key achievements.
Tsinghua University
Research Areas: AI, Machine 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.
Beihang University
Research Areas: AI for Management, Data Mining, Spatio-temporal Data Mining, Smart Cities
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.
Beijing Jiaotong University
Research Areas: Data Mining, Spatial-Temporal Intelligence, Transportation
An influential scholar in spatial-temporal data mining, he is the creator of PGN, a leading tool for long-range time series forecasting.
University 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.
UESTC
Research Areas: Spatio-temporal Databases, Spatial Crowdsourcing, AI4DB, Autonomous Driving, Recommendation Systems
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.
Hong Kong University of Science and Technology
Research Areas: Spatio-Temporal Data Mining, Time Series, Urban Computing, Urban AI, Foundation Model
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.
Institute of Computing Technology, Chinese Academy of Sciences
Research Areas: Spatial-Temporal Data Mining, Time Series Forecasting, 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.
East China Normal University
Research Areas: Data Management, Machine Learning
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.