01
Data-driven Studies
Deep spatio-temporal learning, graph neural networks, time-series mining
KDD · TKDE · ICDE · WWW · ICDM
Beihang University
Data
Intelligence Lab
We advance machine learning and data mining — deep spatio-temporal learning, graph neural networks, and time-series analysis — turning data into intelligence.
135+
Publications
35
Members
2019
Since
Research
02
Scenario-driven Studies
Traffic: trajectory recovery, OD prediction, traffic flow & congestion prediction
IJCAI · AAAI · SIGIR · KDD
03
Future-driven Studies
Dynamic graph representation learning, large spatio-temporal & behavioral models
KDD · NeurIPS · TKDE
Selected Publications
Selected Publications
Large-scale Human Mobility Data Regeneration for Open Urban Research
Ruixing Zhang, Yunqi Liu, Liangzhe Han, Leilei Sun, Charles Liu, Jibin Wang, Weifeng Lv
KAIS
MobLLM: Bridging Human Mobility Patterns and Large Language Models for Enhanced Urban Geospatial Intelligence in Transportation Systems
Yi Xu, Ziqi Miao, Tongyu Zhu, Liangzhe Han, Jibin Wang, and Leilei Sun
IEEE TITS
Position-Aware Neighbor Aggregation for Dynamic Link Prediction
Yumeng Zhou, Mingzhe Liu, Leilei Sun, Yifei Huang, Liangzhe Han, Charles Liu, Tongyu Zhu
KDD
ShapeletMIL: A Multi-Instance Learning Framework for Interpretable Multivariate Time Series Classification
Hu Xu、Yi Xu、Yitao Jia、Yuhui Jin、Donglan Liu、Tongyu Zhu
IEEE TITS
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