| Residential College | false |
| Status | 已發表Published |
| Boosting Urban Prediction via Addressing Spatial Temporal Distribution Shift | |
Xuanming Hu; Wei Fan; Kun Yi; Pengfei Wang; Yuanbo Xu; Yanjie Fu; Pengyang Wang 
| |
| 2023-11 | |
| Conference Name | the 23rd IEEE International Conference on Data Mining |
| Conference Date | 2023-12-01 |
| Conference Place | Shanghai, China |
| Document Type | Conference paper |
| Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
| Corresponding Author | Pengyang Wang |
| Affiliation | 1.Arizona State University 2.SKL-IOTSC, University of Macau 3.Beijing Institute of Technology 4.Computer Network Information Center, Chinese Academy of Sciences 5.Jilin University |
| Recommended Citation GB/T 7714 | Xuanming Hu,Wei Fan,Kun Yi,et al. Boosting Urban Prediction via Addressing Spatial Temporal Distribution Shift[C], 2023. |
| APA | Xuanming Hu., Wei Fan., Kun Yi., Pengfei Wang., Yuanbo Xu., Yanjie Fu., & Pengyang Wang (2023). Boosting Urban Prediction via Addressing Spatial Temporal Distribution Shift. . |
| Files in This Item: | There are no files associated with this item. | |||||
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