Naiqiang Tan

Orcid: 0009-0008-4687-5212

According to our database1, Naiqiang Tan authored at least 8 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Real-World Large-Scale Cellular Localization for Pickup Position Recommendation at Black-Hole.
IEEE Trans. Mob. Comput., December, 2024

Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models.
ACM Trans. Inf. Syst., May, 2024

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow., January, 2024

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs.
IEEE Trans. Intell. Transp. Syst., May, 2023

Behavior Modeling for Point of Interest Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2020
Context-aware Route Recommendation with Weight Learning through Deep Neural Networks.
Proceedings of the 2020 American Control Conference, 2020


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