Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Mao, Xiaowei"'
Autor:
Mao, Xiaowei, Lin, Yan, Guo, Shengnan, Chen, Yubin, Xian, Xingyu, Wen, Haomin, Xu, Qisen, Lin, Youfang, Wan, Huaiyu
Uncertainty quantification in travel time estimation (TTE) aims to estimate the confidence interval for travel time, given the origin (O), destination (D), and departure time (T). Accurately quantifying this uncertainty requires generating the most l
Externí odkaz:
http://arxiv.org/abs/2408.12809
Autor:
Huang, YiHeng, Mao, Xiaowei, Guo, Shengnan, Chen, Yubin, Shen, Junfeng, Li, Tiankuo, Lin, Youfang, Wan, Huaiyu
Spatial-temporal forecasting and imputation are important for real-world intelligent systems. Most existing methods are tailored for individual forecasting or imputation tasks but are not designed for both. Additionally, they are less effective for z
Externí odkaz:
http://arxiv.org/abs/2407.09096
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Autor:
Wen, Haomin, Lin, Youfang, Wu, Lixia, Mao, Xiaowei, Cai, Tianyue, Hou, Yunfeng, Guo, Shengnan, Liang, Yuxuan, Jin, Guangyin, Zhao, Yiji, Zimmermann, Roger, Ye, Jieping, Wan, Huaiyu
Instant delivery services, such as food delivery and package delivery, have achieved explosive growth in recent years by providing customers with daily-life convenience. An emerging research area within these services is service Route\&Time Predictio
Externí odkaz:
http://arxiv.org/abs/2309.01194
Autor:
Mao, Xiaowei, Wen, Haomin, Zhang, Hengrui, Wan, Huaiyu, Wu, Lixia, Zheng, Jianbin, Hu, Haoyuan, Lin, Youfang
Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service route of a worker given his current task pool, has received rising attention in recent years. Deep neural networks based on supervised learning have emerged as th
Externí odkaz:
http://arxiv.org/abs/2307.16246
Autor:
Wu, Lixia, Wen, Haomin, Hu, Haoyuan, Mao, Xiaowei, Xia, Yutong, Shan, Ergang, Zhen, Jianbin, Lou, Junhong, Liang, Yuxuan, Yang, Liuqing, Zimmermann, Roger, Lin, Youfang, Wan, Huaiyu
Real-world last-mile delivery datasets are crucial for research in logistics, supply chain management, and spatio-temporal data mining. Despite a plethora of algorithms developed to date, no widely accepted, publicly available last-mile delivery data
Externí odkaz:
http://arxiv.org/abs/2306.10675
Autor:
Bai, Fan, Liu, Yichen, Wangdue, Shargan, Wang, Tianyi, He, Wei, Xi, Lin, Tsho, Yang, Tsering, Tashi, Cao, Peng, Dai, Qingyan, Liu, Feng, Feng, Xiaotian, Zhang, Ming, Ran, Jingkun, Ping, Wanjing, Payon, Danzin, Mao, Xiaowei, Tong, Yan, Tsring, Tinley, Chen, Zehui, Fu, Qiaomei
Publikováno v:
In Current Biology 17 June 2024 34(12):2594-2605
Publikováno v:
In Optics and Laser Technology December 2023 167
Akademický článek
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Autor:
Chen, Lufeng, Mao, Xiaowei, Li, Zhunjie, Pan, Yu, Cao, Mengxi, Zhang, Xing, Wang, Pu, Liang, Yong, Zhang, Qinghua
Publikováno v:
In Ecotoxicology and Environmental Safety 1 January 2023 249
Akademický článek
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