Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories-Reference-Cited by-同舟云学术

Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Ruan Sijie¹,Long Cheng²,Yang Xiaodu³,He Tianfu⁴,Li Ruiyuan⁵,Bao Jie⁴,Chen Yiheng⁶,Wu Shengnan⁶,Cui Jiangtao¹,Zheng Yu¹

Affiliation:

1. Xidian University,Shaanxi,China

2. Nanyang Technological University,Singapore

3. Institute of Information Engineering, Chinese Academy of Sciences,Beijing

4. JD iCity, JD Technology,Beijing,China

5. Chongqing University,Chongqing,China

6. JD Logistics,Beijing,China

Funder

National Key R&D Program of China

Ministry of Education, Singapore

NSFC

Chinese Government Scholarship

Publisher

IEEE

Link

Reference41 articles.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LaDe: The First Comprehensive Last-mile Express Dataset from Industry;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13

4. Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. AutoBuild: Automatic Community Building Labeling for Last-mile Delivery;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21