The 15th International Workshop on Urban Computing

Sijie Ruan; Yu Zheng; Yuxuan Liang; Chuishi Meng; Yanhua Li; Jieping Ye; Philip S. Yu

doi:10.1145/3770855.3818254

The 15th International Workshop on Urban Computing

Sijie Ruan^*
, Yu Zheng
, Yuxuan Liang
, Chuishi Meng
, Yanhua Li
, Jieping Ye
, Philip S. Yu

^*Corresponding author for this work

School of Computer Science and Technology

Southwest Jiaotong University
The Hong Kong University of Science and Technology (Guangzhou)
JD Technology
Worcester Polytechnic Institute
Alibaba Group Holding Ltd.
University of Illinois at Chicago

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The unprecedented expansion of global metropolises has modernized many people's lives, yet it has also engendered significant challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these deeply intertwined challenges was nearly impossible years ago given the complex, dynamic, and constantly shifting environments of cities. Nowadays, ubiquitous sensing technologies and distributed computing infrastructures have produced a variety of big data in urban spaces, e.g., human mobility, air quality, traffic patterns, social media, and geographical data. Motivated by the opportunities of building more intelligent cities, we came up with a vision of urban computing, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve critical problems our cities face today, ultimately fostering sustainable ecosystems and elevating the human experience.

Original language	English
Title of host publication	KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Publisher	Association for Computing Machinery
Pages	13433-13434
Number of pages	2
ISBN (Electronic)	9798400722592
DOIs	https://doi.org/10.1145/3770855.3818254
Publication status	Published - 8 Aug 2026
Event	32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026 - Jeju Island, Korea, Republic of Duration: 9 Aug 2026 → 13 Aug 2026

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume	2-B
ISSN (Print)	2154-817X

Conference

Conference	32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026
Country/Territory	Korea, Republic of
City	Jeju Island
Period	9/08/26 → 13/08/26

Keywords

ai
big data
spatio-temporal data mining
urban computing

Access to Document

10.1145/3770855.3818254

Cite this

Ruan, S., Zheng, Y., Liang, Y., Meng, C., Li, Y., Ye, J., & Yu, P. S. (2026). The 15th International Workshop on Urban Computing. In KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (pp. 13433-13434). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. 2-B). Association for Computing Machinery. https://doi.org/10.1145/3770855.3818254

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title = "The 15th International Workshop on Urban Computing",

abstract = "The unprecedented expansion of global metropolises has modernized many people's lives, yet it has also engendered significant challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these deeply intertwined challenges was nearly impossible years ago given the complex, dynamic, and constantly shifting environments of cities. Nowadays, ubiquitous sensing technologies and distributed computing infrastructures have produced a variety of big data in urban spaces, e.g., human mobility, air quality, traffic patterns, social media, and geographical data. Motivated by the opportunities of building more intelligent cities, we came up with a vision of urban computing, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve critical problems our cities face today, ultimately fostering sustainable ecosystems and elevating the human experience.",

keywords = "ai, big data, spatio-temporal data mining, urban computing",

author = "Sijie Ruan and Yu Zheng and Yuxuan Liang and Chuishi Meng and Yanhua Li and Jieping Ye and Yu, \{Philip S.\}",

note = "Publisher Copyright: {\textcopyright} 2026 Owner/Author.; 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026 ; Conference date: 09-08-2026 Through 13-08-2026",

year = "2026",

month = aug,

day = "8",

doi = "10.1145/3770855.3818254",

language = "English",

series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",

publisher = "Association for Computing Machinery",

pages = "13433--13434",

booktitle = "KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2",

}

Ruan, S, Zheng, Y, Liang, Y, Meng, C, Li, Y, Ye, J & Yu, PS 2026, The 15th International Workshop on Urban Computing. in KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. 2-B, Association for Computing Machinery, pp. 13433-13434, 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, Republic of, 9/08/26. https://doi.org/10.1145/3770855.3818254

The 15th International Workshop on Urban Computing. / Ruan, Sijie; Zheng, Yu; Liang, Yuxuan et al.
KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. Association for Computing Machinery, 2026. p. 13433-13434 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. 2-B).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yu, Philip S.

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N2 - The unprecedented expansion of global metropolises has modernized many people's lives, yet it has also engendered significant challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these deeply intertwined challenges was nearly impossible years ago given the complex, dynamic, and constantly shifting environments of cities. Nowadays, ubiquitous sensing technologies and distributed computing infrastructures have produced a variety of big data in urban spaces, e.g., human mobility, air quality, traffic patterns, social media, and geographical data. Motivated by the opportunities of building more intelligent cities, we came up with a vision of urban computing, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve critical problems our cities face today, ultimately fostering sustainable ecosystems and elevating the human experience.

AB - The unprecedented expansion of global metropolises has modernized many people's lives, yet it has also engendered significant challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these deeply intertwined challenges was nearly impossible years ago given the complex, dynamic, and constantly shifting environments of cities. Nowadays, ubiquitous sensing technologies and distributed computing infrastructures have produced a variety of big data in urban spaces, e.g., human mobility, air quality, traffic patterns, social media, and geographical data. Motivated by the opportunities of building more intelligent cities, we came up with a vision of urban computing, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve critical problems our cities face today, ultimately fostering sustainable ecosystems and elevating the human experience.

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KW - big data

KW - spatio-temporal data mining

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Ruan S, Zheng Y, Liang Y, Meng C, Li Y, Ye J et al. The 15th International Workshop on Urban Computing. In KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. Association for Computing Machinery. 2026. p. 13433-13434. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3770855.3818254

The 15th International Workshop on Urban Computing

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