Bin Lu

Orcid: 0000-0001-6452-7029

Affiliations:
  • Shanghai Jiao Tong University, Department of Electronic Engineering , Shanghai, China


According to our database1, Bin Lu authored at least 13 papers between 2020 and 2024.

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Bibliography

2024
Graph Out-of-Distribution Generalization With Controllable Data Augmentation.
IEEE Trans. Knowl. Data Eng., November, 2024

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.
CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.
CoRR, 2024

AutoFAIR : Automatic Data FAIRification via Machine Reading.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

EditKG: Editing Knowledge Graph for Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Temporal Generalization Estimation in Evolving Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DataExpo: A One-Stop Dataset Service for Open Science Research.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Graph Open-Set Recognition via Entropy Message Passing.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network.
ACM Trans. Intell. Syst. Technol., 2022

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020


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