Bin Lu
Orcid: 0000-0001-6452-7029Affiliations:
- Shanghai Jiao Tong University, Department of Electronic Engineering , Shanghai, China
  According to our database1,
  Bin Lu
  authored at least 16 papers
  between 2020 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
- 
    on orcid.org
- 
    on github.com
On csauthors.net:
Bibliography
  2025
    ACM Trans. Knowl. Discov. Data, August, 2025
    
  
    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
    
  
Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs.
    
  
    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
    
  
    Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
    
  
  2024
    IEEE Trans. Knowl. Data Eng., November, 2024
    
  
    Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
    
  
    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
    
  
    Proceedings of the Twelfth International Conference on Learning Representations, 2024
    
  
  2023
    Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
    
  
    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
    
  
    Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
    
  
    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