Lixia Wu
Orcid: 0009-0009-7418-2170
According to our database1,
Lixia Wu
authored at least 35 papers
between 2011 and 2024.
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Bibliography
2024
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng., December, 2024
An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems.
IEEE Trans. Intell. Transp. Syst., September, 2024
Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations at Alibaba.
MIS Q., 2024
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Digital Economy, Environmental Regulation, and Carbon Emissions: Based on a Dynamic Panel Threshold Model.
Proceedings of the 2024 9th International Conference on Intelligent Information Processing, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.
ACM Trans. Intell. Syst. Technol., 2023
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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
Proceedings of the 44th International Conference on Information Systems, 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
M<sup>2</sup>G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction.
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
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.
ACM Trans. Intell. Syst. Technol., 2022
Manuf. Serv. Oper. Manag., 2022
Inf. Process. Manag., 2022
CoRR, 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems.
CoRR, 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
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Int. J. Electron. Commer., 2020
Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses.
Proceedings of the 41st International Conference on Information Systems, 2020
2019
Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-Mile Pickup Stations at Alibaba.
Proceedings of the 40th International Conference on Information Systems, 2019
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2015
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015
2011
Granulation-based symbolic representation of time series and semi-supervised classification.
Comput. Math. Appl., 2011