Tong Lu

Orcid: 0009-0005-5368-5319

Affiliations:
  • Beijing Normal University, Beijing, China


According to our database1, Tong Lu authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs.
Data Intell., 2026

Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
EduMKG: A Multimodal Knowledge Graph for Education with Text, Image, Video and Audio.
Dataset, June, 2025

EduMKG: A Multimodal Knowledge Graph for Education with Text, Image, Video and Audio.
Dataset, May, 2025

EduMKG: A Multimodal Knowledge Graph for Education with Text, Video, Image and Audio.
Dataset, May, 2025

MEduKG: Multimodal Educational Knowledge Graph Construction via Large Language Models.
Dataset, May, 2025

MEduKG: Multimodal Educational Knowledge Graph Construction via Large Language Models.
Dataset, May, 2025

LLM-Augmented Spatio-Temporal Graph Learning for POI Recommendation.
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024
Similarity search on social networks with incremental graph indexing based on probabilistic inference.
Int. J. Web Inf. Syst., 2024

Task Scheduling in Vehicular Networks: A Multi-Agent Reinforcement Learning Based Reverse Auction Mechanism.
Proceedings of the 2024 The 6th World Symposium on Software Engineering (WSSE), 2024

2023
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023


  Loading...