Xiaowei Mao

Orcid: 0009-0008-1748-7376

According to our database1, Xiaowei Mao authored at least 12 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng., December, 2024

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data.
CoRR, 2024

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation.
CoRR, 2024

STD-LLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with LLMs.
CoRR, 2024

LaDe: The First Comprehensive Last-mile Express Dataset from Industry.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.
CoRR, 2023

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Development and Control of a CT Fluoroscopy Guided Lung Puncture Robot.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021


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