Scholar
Di Yao
Google Scholar ID: HrjhP2AAAAAJ
Institute of Computing Technology, Chinese Academy of Sciences
Spatial-Temporal Data Mining
Trajectory Data Mining
Graph Neural Network
Time-series Analysis
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,715
H-index
17
i10-index
23
Publications
20
Co-authors
8
list available
Contact
Email
yaodi@ict.ac.cn
CV
Open ↗
GitHub
Open ↗
Publications
4 items
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
2025
Cited
0
GTool: Graph Enhanced Tool Planning with Large Language Model
2025
Cited
0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
2025
Cited
0
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection
IEEE International Conference on Data Engineering · 2024
Cited
3
Resume (English only)
Academic Achievements
Paper 'STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis' accepted by WWW 2025 (Resource Track)
Paper 'Effective and Efficient Representation Learning for Flight Trajectories' accepted by AAAI 2025
Paper 'AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models' accepted by ICDM 2024
Two trajectory data mining papers accepted by ICDE 2024
Paper 'CausalMMM: Learning Causal Structure for Marketing Mix Modeling' accepted by WSDM 2024
Tutorial on 'Causal Discovery from Temporal Data' accepted at SIGKDD 2023
Published multiple papers in IEEE TKDE, DASFAA, ArXiv, etc.
Co-authors
8 total
Chao Zhang
Assistant Professor at College of Computing, Georgia Tech
Gao Cong
Nanyang Technological University
Peng Han
Professor, Department of Computer Science, UESTC
Jin Wang (王津)
Arizona State University
Lun Du (杜仑)
Ant Research
Runze Wu
Fuxi AI Lab, NetEase Games | University of Science and Technology of China
Shi Han
Microsoft Research Asia
Qiang Fu
Microsoft
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