Portrait of Yu Zheng class='avatar avatar-180 photo msr-profile-image margin-bottom-sp1' />

Yu Zheng

Vice President of JD.COM
and Chief Data Scientist of JD Technology
IEEE Fellow,ACM Distinguished Scientist

About

Dr. Yu Zheng is the Vice President of JD.COM, leading the JD Intelligent Cities Business Unit and JD Intelligent Cities Research. He also serves as the Chief Data Scientist at JD Technology, passionate about using big data and AI technology to tackle urban challenges. Before Joining JD.COM, he was a senior research manager at Microsoft Research, with research interests across big data analytics, spatio-temporal data mining, machine learning and artificial intelligence.

Zheng is also a Chair Professor at Shanghai Jiao Tong University and an Adjunct Professor at Hong Kong University of Science and Technology. He served as the Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology from 2015 to 2021, and a member of Editorial Advisory Board of IEEE Spectrum. He is also an Editorial Board Member of IEEE Transactions on Big Data and the Chair of SIGKDD China Chapter. He has served as chair on over 10 prestigious international conferences, e.g. as the program co-chair of ICDE 2014 (Industrial Track), CIKM 2017 (Industrial Track) and IJCAI 2019 (industrial track) as well as the area chair of AAAI 2019~2024.

Zheng publishes referred papers frequently as a leading author at prestigious conferences and journals, such as KDD, IJCAI, AAAI, VLDB, UbiComp, and IEEE TKDE. Those papers have been cited over 55,000 times (Google Scholar H-Index: 105 by Jul. 2024). He received SIGKDD Test-of-Time Award twice from KDD 2022 and KDD 2024 respectively, the 10-Year Impact Award from ACM SIGSPATIAL four times in 2019, 2020, 2022 and 2023 respectively, the Test-of-Time Award from IEEE MDM 2023, and five best paper awards from ICDE’13 and ACM SIGSPATIAL’10, etc. He has been invited to give keynote speeches at international conferences and forums (e.g. AAAI 2019, KDD 2019 Plenary Keynote Panel, IJCAI 2019 Industrial Days, MDM 2021 and SSTD2021) and guest lectures in universities like MIT, CMU, and Cornell. His book, titled “Computing with Spatial Trajectories”, has been used as a text book in universities worldwide and honored as the Top 10 Most Popular Computer Science Book authored by Chinese at Springer. His monograph, entitled "Urban Computing" (MIT Press), is the first text book in this field.

Zheng has over 100 granted patents and received 5 technical transfer awards from Microsoft and JD.COM. His technology has been transferred to Microsoft Products like Bing Maps. One of his projects, entitled Urban Air, has been deployed with the Chinese Ministry of Environmental Protection, predicting air quality for over 300 Chinese cities based on big data. After joining JD.COM, he has developed and deployed the intelligent city operational system in XiongAn, and has been leading over ten key intelligent city projects in Beijing, Shanghai and Nantong etc.

Zheng has been featured multiple times by influential journals. In 2013, he was named one of the Top Innovators under 35 by MIT Technology Review (TR35) and featured by Time Magazine for his research on urban computing. In 2014, he was named one of the Top 40 Business Elites under 40 in China by Fortune Magazine, because of the business impact of urban computing he has been advocating since 2008. In 2016, Zheng was honored as an ACM Distinguished Scientist. In 2017, he was recognized as the one of the Top 10 AI Innovators in China. In 2020, he was elevated to an IEEE Fellow for his contributions to spatio-temporal data mining and urban computing.

[My Google Scholar Page] [Curriculum Vitae] [H-Index of Computer Science]

Focused Research Themes
1) Urban Computing 2) Trajectory Data Mining & Computing with Spatial Trajectories
3) Cross-Domain Knowledge Fusion 4) Location-Based Social Networks

Personal Email: msyuzheng@outlook.com

Projects

Videos

Other

Keynotes

  • Keynote speech at the 17th International Symposium on Spatial and Temporal Databases (SSTD 2021), 2021.8
  • Keynote speech at the 22nd IEEE International Conference on Mobile Data Management (MDM 2021), 2021.6
  • Keynote Speech at the 28th IJCAI (IJCAI 2019), in IJCAI 2019 Industrial Days. Macao, China, 2019.8.15.
  • Keynote speech at the 25th ACM SIGKDD (KDD-2019), in Plenary Keynote Panel: Democratization of Data Science. Anchorage, USA, 2019.8.7.
  • Keynote speech at the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA, 2019.1.27. [PPT] [Video]
  • Keynote speech at the 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2017). Nanjing, China, Nov. 26, 2017.
  • Keynote Speech at the 3rd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM2017). Wuhan, China, 2017.9.21
  • Keynote Speech at the 2016 IEEE International Conference on Smart Data (SmartData 2016), Chengdu, China, 2016.12.16
  • Keynote Speech at the 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS 2016), San Francisco, USA, 2016.10.31.
  • Keynote Speech at the 24th IEEE International Requirements Engineering Conference (RE 2016), Beijing China, 2016.9.15
  • Keynote Speech at the 10the IEEE International Conference on Big Data Science and Engineering (IEEE BIGDataSE 2016), Tianjin, China, 2016.8.24
  • Keynote Speech at the 2nd International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE 2016), Harbin, China, 2016.8.20
  • Keynote Speech at the 5th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2016), San Francisco, USA, 2016.8.14
  • Keynote Speech at the 2016 International Conference on Smart X (Smart X 2016), Dalian, China, 2016.7.30
  • Keynote Speech at 15th China Conference on Machine Learning (CCML 2015), Chengdu, 2015.10.17.
  • Keynote Speech at the 4th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2015), Sydney, Australia, 2015.8.10
  • Keynote Speech at the 2nd International Conference on Sustainable Urbanization (ICSU 2015), Hong Kong, 2015.1.
  • Keynote speech at the 10th IEEE International conference on Intelligent Environment (IE 2014), Shanghai, China, July 2014.
  • Keynote speech at the 9th International Workshop on Geographical Science (IWGS 2014), Beijing, China, June 2014.
  • Keynote speech at the CCF forum on Urban Sensing and Computing, Hangzhou, China, 2014.6
  • Keynote speech at the World Geospatial Developers Conference (WGDC 2014), Beijing, China, June 2014.
  • Keynote speech at the MIT Sloan Technology Innovation and Entrepreneurship Forum, 2014.5.17
  • Keynote speech at the Big Data and Internet Economy forum, 2014.4. Peking University.
  • keynote speech at APEC smart city innovation & technology cooperation forum. Changzhou, China, April 10, 2014. (Link)
  • Keynote speech at the International Symposium on Grids and Clouds (ISGC), Taipei, 2014.3
  • Keynote speech at the 8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). Shenzhen, China, Nov. 21, 2013.
  • Keynote speech at 2013 Chinese Conference of Complex Networks, Hangzhou, China, Sept. 15, 2013.
  • Keynote speech at the World Geospatial Developers Conference (WGDC 2013), 2013.5.15, Beijing, China (over 2,500 audiences)
  • Keynote speech at the China Annual Conference of GIS Theory and Methodology. 2012. Sept. Chengdu China.

Chairs

  • Area Chair of the 36rd AAAI Conference on Artificial Intelligence (AAAI-22)
  • Area Chair of the 35rd AAAI Conference on Artificial Intelligence (AAAI-21)
  • Area Chair of the 34rd AAAI Conference on Artificial Intelligence (AAAI-20)
  • Area Chair of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19)
  • Sponsorship Co-Chair of the 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)
  • PC Co-Chair of Industrial Track at the 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018)
  • Co-Organizer of Data Science of China Forum at the 23nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)
  • General Co-Chair of the IEEE International Smart Cities Conference (ISC2 2017)
  • PC Co-Chair of the International Conference on Information and Knowledge Management (CIKM 2017) – Case Study Track
  • Program Co-Chair of the 6th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2017)
  • Sponsorship Co-Chair of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016)
  • Co-Organizer of Data Science of China Forum at the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016)
  • Program Chair of the ACM SIGKDD China Forum: from Big data to AI, 2016.12.17
  • Program Co-Chair of the 5th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2016)
  • Program Chair of the first ACM SIGKDD China Annual Conference (KDD China 2016)
  • Program Chair of the Global Artificial Intelligence and Robots Summit (GAIR 2016)
  • Area Chair of the IEEE International Conference on Data Mining (ICDM 2015)
  • Program Chair of the 4th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2015)
  • Program chair of the 11th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2014)
  • Program chair of the 30th IEEE International Conference on Data Engineering (ICDE 2014) (Industrial Track)
  • Industrial PC chair of Asia-Pacific Web Conference (APWeb 2014)
  • Program Chair of the 3th ACM SIGKDD International Workshop on Urban Computing (UrbComp 2014)
  • Demo chair of Spatial and Spatio-Temporal Databases (SSTD 2013)
  • Publicity Chair of PAKDD 2014
  • Program Chair of the 2nd ACM SIGKDD International Workshop on Urban Computing (UrbComp 2013)
  • Chair of CCF Advanced Disciplines Lectures (ADL) on Urban Computing (Details)
  • Session Chair of ACM SIGKDD conference onKnowledge Discovery and Data Mining (KDD 2012)(KDD 2016).
  • Industrial Chair of the 14th ACM International Conference on Ubiquitous Computing (Ubicomp 2012)
  • Program Chair of the 4th ACM International Workshop on Location-Based Social Networks (LBSN 2012)
  • Program Chair of the ACM SIGKDD International Workshop on Urban Computing (UrbComp 2012)
  • Session Chair of the ACM International Conference on Ubiquitous Computing (Ubicomp 2011)
  • Program Chair of the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011)
  • Local Chair of the ACM International Conference on Ubiquitous Computing (Ubicomp 2011)
  • Session Chair of the IEEE International Conference on Ubiquitous Intelligences and Computing (UIC 2010)
  • Session Chair of the second ACM SIGSPATIAL Workshop on Location-Based Social Networks (LBSN 2010)
  • Program Chair of International Conference on Advances in Multimedia (MMEDIA 2009)

Program Committee

  • Senior PC and PCs of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012/2013/2014/2015/2016/2017/2018)
  • Senior PC and PCs of American Association of Artificial Intelligence conference (AAAI 2014)(AAAI 2015)(AAAI 2016)(AAAI 2017)(AAAI 2018)
  • International Joint Conference on Artificial Intelligence (IJCAI 2011)
  • Senior PC of SIAM International Conference on Data Mining (SDM 2013)(SDM 2014)(SDM 2017)(SDM 2018)
  • PC of the ACM International Conference on Ubiquitous Computing (Ubicomp 2011)
  • PC of the ACM International Conference on Web Search and Data Mining (WSDM 2013) (WSDM 2014)
  • PC of the IEEE International Conference on Data Mining (ICDM 2013) (ICDM 2014)(ICDM 2016)(ICDM 2017)
  • Senior PC of Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD 2012) (2013)(2014)(2015)(2016)(2017)
  • Best paper awarding committee PAKDD 2017
  • ACM SIGSPATIAL International Conference on Geographic Information Systems (GIS 2017)(2016)(2015)(2014) (2013) (2011) (2010)
  • PC of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015)
  • PC of the Extending Database Technology 2012 (EDBT 2013)
  • IEEE International Conference on Mobile Data Management (MDM 2010)(2012)(2013)(2014)(2015)(2016)
  • International Symposium on Spatial and Temporal Database (SSTD 2011) (SSTD 2013)(SSTD 2015)(SSTD 2017)
  • IEEE international conference on Big Data (BigData 2013) (BigData 2014)
  • International Conference on Database Systems For Advanced Applications (DASFAA 2011)
  • International Conference on Database and Expert Systems Applications (DEXA 2013/2012/2011/2010/2009)
  • Australasian Database Conference (ADC 2012) (ADC 2011) (ADC 2010)
  • IEEE International Conference on Ubiquitous Intelligences and Computing (UIC 2012) (UIC 2011) (UIC 2010)
  • ACM International Conference on Mobile and Ubiquitous Mutilmedia (MUM 2010) (MUM 2009) (MUM 2008)
  • International conference on Mobile Computing, Applications, and Services (MobiCASE 2011) (MobiCASE 2010)
  • International Conference on Web Information Systems Engineering (WISE 2009) (WISE 2008)
  • ACM Multimedia: Location-based and mobile multimedia Track (ACM MM 2011)

Tutorials

  • Urban Computing, at DASFFA 2017, KDD 2017.
  • Location-based social networks, at WWW 2012, 2012.4
  • Computing with Spatial Trajectories, at ACM SIGPSPATIAL 2011.11

Panelists

 

News

Publications

Books, Book Chapters and Proceedings

Conference and Journal Publications

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

 

Honors

Honors

  1. SIGKDD 2024 Test-of-Time Award (Slides of the Presentation)
  2. ACM SIGSPATIAL 10-Year Impact Award in 2023
  3. IEEE MDM Test-of-Time Award in 2023
  4. ACM SIGSPATIAL 10-Year Impact Award in 2022
  5. SIGKDD 2022 Test-of-Time Award
  6. IEEE Fellow in 2020
  7. ACM SIGSPATIAL 10-Year Impact Award in 2020
  8. ACM SIGSPATIAL 10-Year Impact Award in 2019
  9. 2016 ACM Distinguished Scientist for his contribution to spatio-temporal data mining and urban computing.
  10. One of the Top 10 Most Popular Computer Science Books published by Chinese Authors at Springer.
  11. Distinguished Member of China Computer Federation, July 2015
  12. 2014 Top 40 Business Elites under 40 in China by Fortune
  13. 2013 TR35 Award: Top Innovators Under 35 by MIT Technology Review, 2013.8
  14. ACM Senior member, since Jan. 2012
  15. IEEE Senior member, since Oct. 2011
  16. Distinguished Speaker of China Computer Federation, 2013-present
  17. Microsoft Golden Star, 2008
  18. Best paper runner-up award at the 29th IEEE International Conference on Data Engineering (ICDE 2013)
  19. Best paper award at the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011)
  20. Best paper nominee award at the 13th International Conference on Ubiquitous Computing (UbiComp 2011)
  21. Best paper runner-up award at ACM SIGSPATIAL GIS 2010
  22. Best paper award at the 8th International conference on Ubiquitous Intelligence and Computing (UIC 2010)
  23. The most cited paper in ACM SIGSPATIAL GIS 2008 and 2010
  24. The most cited paper in UbiComp 2008
  25. The most cited paper in IEEE Data Engineering Bulletin 2010
  26. Outstanding Ph.D. thesis award from Southwest Jiaotong University 2007

Awards

Best Paper Awards

  • Best paper runner-up award at the 29th IEEE International Conference on Data Engineering (ICDE 2013)
  • Best paper award at the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011)
  • Best paper award nominee at te 13th International Conference on Ubiquitous Computing (UbiComp 2011)
  • Best paper runner-up award at ACM SIGSPATIAL GIS 2010
  • Best paper award at the 8th International conference on Ubiquitous Intelligence and Computing (UIC 2010)
  • Outstanding Ph.D. thesis award from Southwest Jiaotong university 2007

Technical Transfer Awards

  • Merging location records. Shipped to Bing Local Search (Japan and China), Jan. 2010
  • A Chineses address breakor. Shipped to Bing Local Search (China). April, 2009.
  • Spatial outlier detection. Shipped to Bing Local Search (China). April. 2009

Patent Awards

Granted

  • “System for logging life experiences using geographic cues”, 2/26/2007. US8972177 B2, (granted on Mar 3, 2015)
  • “Learning Transportation Modes from Raw GPS Data”, 2/26/2007. US 8015144 B2, (granted on Sep 6, 2011)
  • “Indexing large-scale GPS tracks”, 2/26/2007, US8078394 B2, (granted on Dec 13, 2011)
  • “Detecting Spatial Outliers in a Location Entity Dataset”, 1/14/2009. US 9063226 B2, (granted on Jun 23, 2015)
  • “Search and Replay of Experiences”, 5/27/2009. US8682889 B2, (granted on Mar 25, 2014)
  • “Location Context Based Calling”, 6/3/2009. US8275102 B2, (granted on Sep 25, 2012)
  • “Nearby Contact Alert Based on Location and Context”, 6/3/2009, US8526969 B2, (granted on Sep 3, 2013)
  • “Route Computation Based on Route-Oriented Vehicle Trajectories”, 12/28/2009, US9261376 B2, (granted on Feb 16, 2016)
  • “Mining Life Pattern Based on Location History”, 9/17/2009. US8275649 B2, (granted on US8275649 B2)
  • “Recommending Points of Interests in a Region”, 9/28/2009. US9009177 B2, (granted on US9009177 B2)
  • “Mining Correlation Between Locations Using Human Location History”, 12/31/2009. US8612134 B2, (granted on Dec 17, 2013)
  • “Collaborative Location and Activity Recommendations”, 2010,4.15. US8719198 B2, (granted on US8719198 B2)
  • “Prioritizing travel itineraries”. 10/29/2010. US8510315 B2, (granted on Aug 13, 2013)
  • “Inferring a behavior state of a vehicle”, 5/19/2011. US8543320 B2, (granted on Sep 24, 2013)
  • “Urban Computing of Route-Oriented Vehicles”, 10/24/2011,US 9261376 B2, (granted on Feb 16, 2016)
  • “Discover Functional Regions”. 2013.3.14,US 9123259 B2, (granted on Sep 1, 2015)

Application

  • “Determining User Similarities Based on Location Histories”, 11/3/2008. WO2010062726 A3
  • “Making Friend and Location Recommendations Based on Location Similarities”, 12/8/2008. US20110282798 A1
  • “Identifying Interesting Locations”, 2/20/2009. US20100211308 A1
  • “Map-Matching for Low-Sampling-Rate GPS Trajectories”, 12/30/2009. US20110208426 A1
  • US Patent. MS 329245.01, MS1-4949US, “Searching similar trajectories by locations”. 4/23/2010
  • US Patent. PCT5402. “Air quality inference Using Multiple data sources” 2013.6
  • US/International Patent. MS#342009.01. Measuring Traffic Speed in a Road Network, filed on 8/26/2014.
  • US/International Patent. Diagnosing urban noise with big data (MS# 342010.01). filed on 10/22/2014

Datasets

This is a GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project by 182 users in a period of over two years (from April 2007 to August 2012). This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation. The following heat maps visualize its distribution in Beijing.

please cite the following two papers when using this dataset.

[1] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 312-321.

[2] Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of International conference on World Wild Web (WWW 2009), Madrid Spain. ACM Press: 791-800.

 

This is a sample of T-Drive taxi trajectory dataset which was generated by over 10,000 taxis in a period of one week in Beijing.

Please cite the following two papers when using the dataset:

[1] Jing Yuan*, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang. T-Drive: Driving Directions Based on Taxi Trajectories. In Proceedings of ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 2010),

[2] Jing Yuan*, Yu Zheng, Xing Xie, Guangzhong Sun. Driving with Knowledge from the Physical World. accepted by 17th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2011).

 

This is a portion of GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project. Each trajectory has a set of transportation mode labels, such as by driving, taking a bus, riding a bike and walking, which can support transportation mode learning.

Please cite the following three papers when using this GPS dataset.

[1] Yu Zheng, Like Liu, Longhao Wang, Xing Xie. Learning Transportation Mode from Raw GPS Data for Geographic Application on the Web, In Proceedings of International conference on World Wild Web (WWW 2008), Beijing, China. ACM Press: 247-256

[2] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 312-321.

[3] Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma. Understanding transportation modes based on GPS data for Web applications. ACM Transaction on the Web. Volume 4, Issue 1, January, 2010. pp. 1-36.

 

This simulator can generate people’s requests for taxicabs on different road segments, using the knowledge mined from a large-scale real taxi trajectories. Each query consists of an origin, destination, and a timestamp. Please cite the following paper when using the simulator.

[1] Shuo Ma, Yu Zheng, Ouri Wolfson. T-Share: A Large-Scale Dynamic Taxi Ridesharing Service. In Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE 2013).

 

The dataset consists of the check-in data in New York City and Los Angels as well as the social structure of the users. Each check-in includes a venue ID, the category of the venue, a timestamp, and a user ID. Please cite the following papers when using the dataset.

[1] Jie Bao, Yu Zheng, Mohamed F. Mokbel. Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data. ACM SIGSPATIAL GIS 2012.

[2] Ling-Yin Wei, Yu Zheng, Wen-Chih Peng, Constructing Popular Routes from Uncertain Trajectories. 18th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2012).

 

This dataset includes the concentration of three air pollutants, PM2.5, PM10, and NO2, from air quality monitoring stations in Beijing and Shanghai in the time span of 2013-2-8 to 2014-2-8. Please cite the following two papers when using the dataset.

[1] Yu Zheng, Furui Liu, Hsun-Ping Hsieh. U-Air: When Urban Air Quality Inference Meets Big Data. 19th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2013).

[2] Yu Zheng, Xuxu Chen, Qiwei Jin, Yubiao Chen, Xiangyun Qu, Xin Liu, Eric Chang, Wei-Ying Ma, Yong Rui, Weiwei Sun. A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality. MSR-TR-2014-40.

 

The package is comprised of six parts of data that were extracted from the GPS trajectories of taxicabs, road networks, POIs of Beijing, and video clips recording real traffic on roads. Please cite the following two papers when using the dataset.

[1] Jingbo Shang*, Yu Zheng, Wenzhu Tong, Eric Chang. Inferring Gas Consumption and Pollution Emission of Vehicles throughout a City. In the Proceeding of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014).

[2] Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology (ACM TIST). 5(3), 2014.

 

This package is comprised of three parts of data. 1) tensors representing the 311 complaints on urban noise; 2) geographical feature of each region in NYC; 3) Real noise levels of 36 locations in NYC. Please cite the following two papers when using the dataset.

[1] Yu Zheng, Tong Liu, Yilun Wang, Yanchi Liu, Yanmin Zhu, Eric Chang. Diagnosing New York City’s Noises with Ubiquitous Data. In Proc of UbiComp 2014.

[2] Wang, Y., Zheng, Y., Liu, T. A noise map of New York City. In Proc. of UbiComp 2014.

 

The dataset was used for air quality forecast and real-time inference. It also can be used for test cross-domain data fusion methods. Please cite the following papers when using the dataset.

[1] Yu Zheng, Furui Liu, Hsun-Ping Hsieh. U-Air: When Urban Air Quality Inference Meets Big Data. 19th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2013).

[2] Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li. Forecasting Fine-Grained Air Quality Based on Big Data. In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2015).

 

The dataset contains bike usage (denoted by the number of check-outs and check-ins) at each bike sharing station in NYC and Chicago. The weather condition data during the period, in which the bike sharing data is collected, is also shared. Please cite the following papers when using the dataset.

[1] Yexin Lee, Yu Zheng, Huichu Zhang, Lei Chen. Traffic Prediction in a Bike Sharing System, In Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2015)

[2] Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology (ACM TIST). 5(3), 2014.

 

This dataset is comprised of five parts of data, named Taxi Trip Data, Bike sharing data, 311 data, POIs and road network data of NYC. Please cite the following papers when using the dataset.

[1] Yu Zheng, Huichu Zhang, Yong Yu. Detecting Collective Anomalies from Multiple Spatio-Temporal Datasets across Different Domains. In Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2015). (Data) (Codes)

[2] Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology (ACM TIST). 5(3), 2014.

 

This data set consists of two types of crowd flows. One is a five-year taxis flow in Beijing. The other is bike usage in a bike sharing system in New York City. A research on predicting flow of crowds have been conducted based on this dataset. Please cite the following paper when using the dataset.

[1] Junbo Zhang, Yu Zheng, Dekang Qi. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction, In Proceedings of the 31st AAAI Conference (AAAI 2017). (code)(data)(system)

 

Chinese Bio

郑宇(1979年-)博士、教授,湖南衡阳人,IEEE Fellow,京东集团副总裁、京东城市总裁、京东智能城市研究院院长、京东科技首席数据科学家,KDD China主席,国家“万人计划”科技创新领军人才,享受国务院特殊津贴专家,Elsevier中国高被引学者,具有十八年中美领先科技公司的管理和产品研发经验;在加入京东集团之前,他在微软亚洲研究院工作12年,是城市计算领域负责人;他还是上海交通大学讲座教授(Chair Professor)、南京大学、香港科技大学和香港理工大学等多所知名高校的客座教授。

郑宇博士在国际上开辟了“城市计算”(Urban Computing)领域和学科,提出了城市计算理论体系,是城市计算领域的先驱和奠基人,也是大数据和人工智能领域的领军人物和实践者。自2006年以来,郑博士城市计算和时空数据挖掘领域发表CCF-A类论文百余篇,论文被引用55,000余次,H-Index:105,根据Google Scholar的排名,在这两个领域均位列世界第一。由他主编的《Computing with Spatial Trajectories》一书被多个国家的高校选用为教材,被Springer评为(全球华人撰写的)最受欢迎的十本计算机类图书之一。他的个人专著《Urban Computing》由麻省理工出版社发行,是国际上城市计算领域的第一本教科书。他的七项研究成果历经行业十年的验证,分别于2022年和2024年两次获得数据挖掘领域最高奖项SIGKDD Test-of-Time Award (中国唯一学者),分别于2019年、2020年、2022年和2023年四次获得时空数据领域国际最高奖项SIGSPATIAL 10-Year-Impact Award(全球唯一学者),以及IEEE MDM 2023 Test-of-Time Award。2021年,根据AI2000影响力排名,郑宇博士在数据挖掘领域位列中国第一、全球第八。

郑宇博士曾担任人工智能顶尖国际期刊ACM Transactions on Intelligent Systems and Technology的主编(Editor-in-Chief),是大陆学者担任美国计算机学会(ACM)顶尖期学术刊主编的第一人。他还担任大数据领域知名国际会议ICDE2014和CIKM2017的工业界主席,以及人工智能领域顶尖国际会议IJCAI2019的工业界主席,促进了该领域学界和工业界的融合。2019年,他作为大陆首位受邀学者在国际人工智能顶尖会议AAAI上发表主旨演讲(Keynote Speech),AAAI是人工智能领域最具影响力的国际会议之一。他也是KDD大陆首位被邀请的圆桌主题演讲者(Plenary Keynote Panel)、IJCAI 2019工业界主题演讲者和MDM2021、SSTD2021的主题演讲者。

他主持国家级科研项目4项,总金额超1.8亿,担任国家重点研发计划-智慧城市与物联网重大专项首席科学家、总负责人,主导工业界和政府侧亿级经费以上大型项目二十余个。担任IEEE智能城市操作系统标准组主席,负责相关国际标准的制定。担任ACM数据挖掘中国分会(KDD China)主席,有效的连接工业界和学界,国内和国外的数据挖掘领域。担任北京市智慧城市专家委员会委员、全总数字化技术专家委员会委员、中国地理信息产业协会-城市空间信息工作委员会副主任等社会职务。

他拥有丰富的科研实践和项目落地经验,拥有100多项国际、美国和中国发明专利,多项研究成功被应用在微软的产品中,三次获得微软技术转化奖。他主持开发了GeoLife、T-Drive、Urban Air和CityNoise等城市大数据系统,多次被科技评论等国际权威媒体报道。其中Urban Air首次利用大数据和人工智能技术来监测和预报细粒度空气质量,该服务覆盖了中国的300多个城市,并被中国环境保护部采用。2016年,他主持了城市大数据平台的设计和实施,并成功在中国大数据示范基地贵阳市部署。

他开创了京东智能城市业务板块,负责搭建团队、制定发展战略、打造科技产品、研发核心技术和统筹组织管理,为全国70多个城市提供服务,获得京东集团最高奖项“CEO特别奖”。他提出的城市计算为雄安智能城市建设提供了理论框架,他带领团队研发的城市操作系统成为雄安智能城市的数字底座,获得中国计算机学会科技进步一等奖,经国家批复,雄安的智能中枢以“雄安城市计算中心”命名。在南通建设了中国第一个市域治理指挥中心,成为国家级标杆,并在后续主导了十余个城市的一网统管项目,他撰写的《城市治理一网统管》一书,成为多地政府的学习材料。他带领团队跟北京市一起推出了中国首个面向政府的协同办公系统“京办”,显著提高了政府的工作效率,在北京的疫情防控和重大活动保障中发挥了至关重要的作用。他为北京国际大数据交易所搭建技术服务体系,开启了中国数据交易的新篇章。

2013年,郑宇博士因在城市计算领域的贡献被MIT科技评论评为全球杰出青年创新者(MIT TR35),该奖项从计算机、通信、生物、医疗和金融等多个领域中全球范围一共评选出35位35岁以下的顶尖创新者。2013年11月,他作为现代创新者代表登上了美国《时代》周刊。2014年,由于他主导的城市计算具有巨大的商业前景和改变行业格局的潜力,被美国《财富》评选为中国40位40岁以下商界精英。2016年,他因为在城市计算领域的贡献被评为美国计算机学会杰出科学家(ACM Distinguished Scientist)。2020年11月,他因在时空数据挖掘和城市计算领域的杰出贡献,被评为国际电气与电子工程师协会会士(IEEE Fellow)

2017年在乌镇互联网大会上被评为中国AI英雄风云榜十大技术创新人物。2019年他与邬贺铨院士、李德仁院士一起被评为中国智慧城市十大影响力人物。2021年5月,因为他在智能城市领域做出的杰出贡献,被授予首都劳动奖章。2021年11月,郑宇博士主导的智能城市操作系统获得中国计算机学会科技进步一等奖。2021年,被中国电子商会授予“中国AI金雁奖卓越成就奖”。2022年,被中国测绘学会评为“智慧城市先锋榜领军人物”。2023年被北京市委评为“北京市有突出贡献的科学、技术、管理人才”。

更多信息请参看他的个人主页http://urban-computing.com/yuzheng.

Students

My Ph.D. Students

  • Xiuwen Yi, Southwest Jiaotong University, 2014
  • Huichu Zhang, Shanghai Jiao Tong University, 2015
  • Zheyi Pan, Shanghai Jiao Tong University, 2015
  • Shenggong Ji, Southwest Jiaotong University, 2015
  • Zhaoyuan Wang, Southwest Jiaotong University, 2016
  • Yuxuan Liang, Xidian University, 2016
  • Yexin Li, Hong Kong University of Science and Technology, 2016
  • Ruiyuan Li, Xidian University, 2016
  • Dekang Qi, Southwest Jiaotong University, 2017
  • Sijie Ruan, Xidian University, 2017
  • Junkai Sun, Xidian University, 2017
  • Yiyi Zhang, Shanghai Jiao Tong University, 2017

Selected Interns I have supervised

2016

  • Ye Liu, Ph.D. Student @ National University of Singapore, Singapore
  • Chuishi Meng, Ph.D. Student @ University of Buffalo, USA

2015

  • Xianyuan Zhan, Ph.D. Student @ University of Purdue, USA
  • Yixuan Zhu, Ph.D. student @ University of Hong Kong
  • Yexin Li, Master student @ Hong Kong University of Science and Technology
  • Huichu Zhang, Ph.D. student @ SJTU, China
  • Yuhong Li, Ph.D. student @ University of Macau

2014

  • Yingxiang Yang. Ph.D. student @ MIT, USA.
  • Chao Zhang. Ph.D. student @ UIUC, USA.
  • Xuxu Chen. Master student @ Fudan University, China
  • Yubiao Chen. Ph.D. student @ HIT, China
  • Jingbo Shang. Undergraduate student @ SJTU, China
  • Tong Liu. Ph.D. student @ SJTU, China

2013

  • Yexiang Xue. Ph.D. student @ Cornell University, USA
  • Hsun-Ping Hsie. Ph.D. student @ National Taiwan University
  • Ka Wai Yung. Ph.D. student @ University of Pittsburgh, USA
  • Furui Liu. Ph.D. student @ The Chinese University of Hong Kong

2012

  • David Wilkie. Ph.D. student @ University of North Carolina at Chapel Hill, USA
  • Bei Pan. Ph.D. student @ University of Southern California, USA
  • Yanjie Fu. Ph.D. student @ Rutgers university, USA
  • Shuo Ma. Ph.D. candidate @ University of Illinois at Chicago, USA

2011

  • Kai Zheng. Ph.D. candidate @ The University of Queensland, Australia
  • Xin Lu. Ph.D. candidate @ MIT, USA.
  • Sakshi Babbar. Ph.D. candidate @ University of Sydney, Australia
  • Bao Jie. Ph.D. candidate @ University of Minnesota, USA
  • Lu-An Tang. Ph.D. candidate @ University of Illinois at Urbana-Champaign, USA
  • Hechen Liu. Ph.D. candidate @ University of Florida, USA
  • Ling-Ying Wei. Ph.D. candidate @ National Jiaotong university of Taiwan

2010

  • Wei Liu. Ph.D. candidate @ University of Sydney, Australia
  • Kai Zheng. Ph.D. candidate @ The University of Queensland, Australia
  • Lu-An Tang. Ph.D. candidate @ University of Illinois at Urbana-Champaign (UIUC)
  • Darshan Santani. Master candidate @ ETH, Zurich
  • Chih-Chieh Hung. Ph.D. candidate @ Taiwan National Jiaotong University, Taiwan
  • Zhengqiang Gong. Ph.D. candidate @ University of California, Berkeley, USA
  • Wenlei Xie. Ph.D. candidate @ Cornell University, USA

2009

  • Hyoseok Yoon. Ph.D. candidate @ GIST University, South Korea (Ph.D. Dissertation)
  • Vincent Wenchen Zheng. Ph.D. candidate @ Hongkong University of Science and Technology (HKUST)
  • Jing Yuan. Ph.D. candidate @ Univeristy of Science and Techology, China (Ph.D. Dissertation)
  • Zaiben Chen. Ph.D. candidate @ The University of Queensland, Australia
  • Xiangye Xiao. Ph.D. candidate @ Hongkong University of Science and Technology (HKUST)
  • Sheng Chang. Ph.D. candidate @ National University of Singapore, Singapore
  • Chengyang Zhang. Ph.D. candidate @ University of North Texas, USA
  • Yin Lou. Ph.D. candidate @ Cornell University, USA
  • Xixuan Feng. Ph.D. candidate @ University of Wisconsin-Madison, USA

2008

  • Pengfei Qiu. Master candidate @ Univeristy of Science and Techology, China
  • Ye Yang. Master candidate @ Columbia University, USA
  • Lizhu Zhang. Master candidate @ Tsinghua University, China
  • Yukun Chen. Master candiate @ Tsinghua University, China
  • Xiao Zhang. Ph.D. candidate @ Penn State University, USA
  • Quannan Li. Ph.D. candidate @ University of California Los Angeles (UCLA), USA

2007

  • Like Liu. RSDE @ Microsoft Research Asia, China
  • Longhao Wang. Master Candidate @ University of California, Berkeley, USA