Xiaowei Mao

Orcid: 0009-0008-1748-7376

According to our database1, Xiaowei Mao authored at least 20 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference.
CoRR, April, 2026

RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
G-KV: Decoding-Time KV Cache Eviction with Global Attention.
CoRR, December, 2025

Proactive-XLight: Proactive Traffic Signal Control With Pluggable and Reliable Traffic Prediction.
IEEE Trans. Mob. Comput., November, 2025

Towards An Efficient and Effective En Route Travel Time Estimation Framework.
Proceedings of the Database Systems for Advanced Applications, 2025

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.
CoRR, 2024

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

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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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