Dr. Yu Zheng is a senior research manager in Urban Computing Group at Microsoft Research, passionate about using big data to tackle urban challenges. His research interests include big data analytics, spatio-temporal data mining, machine learning, and artificial intelligence.

Zheng currently serves as the Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology and a member of Editorial Advisory Board of IEEE Spectrum. He is also an Editorial Board Member of GeoInformatica and IEEE Transactions on Big Data, and the founding Secretary 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) and CIKM 2017 (Industrial Track), and as senior PCs or PCs on KDD, IJCAI, AAAI, UbiComp, SDM, ICDM, and ACM SIGSPATIAL. Zheng is an ACM Distinguished Scientist, a Distinguished Member and Distinguished Speaker of China Computer Federation (CCF).

Zheng publishes referred papers frequently as a leading author at prestigious conferences and journals, such as KDD, VLDB, UbiComp, and IEEE TKDE. Those papers have been cited over 13,000 times in recent five years (Google Scholar H-Index: 54). He received five best paper awards from ICDE’13 and ACM SIGSPATIAL’10, etc. He has been invited to give over 10 keynote speeches at international conferences and forums (e.g. RE 2016 and APEC 2014 Smart City Forum) 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.

Zheng has received 3 technical transfer awards from Microsoft and 24 granted/filed patents. 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. He also leads a China pilot project on urban big data platform, which has been deployed in Guiyang City.

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.

Zheng is also a Chair Professor at Shanghai Jiao Tong University, an Adjunct Professor at Hong Kong University of Science and Technology, and Hong Kong Polytechnic University.

[My Google Scholar Page] [My 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

Address: Building 2, No. 5 Danling Street, Haidian District, Beijing 100080, P.R. China

CityNoise

Established: July 17, 2014

CityNoise is a project led by Dr. Yu Zheng in Microsoft Research. The project aims to diagnose a city's noise pollution with crowdsensing and ubiquitous data. It reveals the fine-grained noise situation throughout a city and analyzes the composition of noises in a particular location, by using 311 complaint data together with road network data, points of interests, and social media.

Urban Air

Established: July 24, 2012

Using a diversity of big data to infer and predict fine-grained air quality throughout a city, and finally tackle air pollutions. http://urbanair.msra.cn/ Install Mobile Apps Many countries are suffering from air pollutions. Many cities have built a few air quality monitoring stations to inform people urban air quality every hour. Influenced by multiple complex factors, however, urban air quality is highly skewed in a city, varying by locations significantly and changing over time…

Computing with Spatial Trajectories

Established: November 16, 2011

Editor: Yu Zheng, Xiaofang Zhou Foreword by Jiawei Han Editorial board: Ralf Hartmut Güting, Hans-Peter Kriegel, Hanan Samet [Order it on Amazon] [Buy it from Springer] [Preview this book (Outline and Preface)] With the rapid development of wireless communication and mobile computing technologies and global positioning and navigational systems, spatial trajectory data has been mounting up, calling for systematic research and development of new computing technologies for storage, preprocessing, retrieving, and mining of trajectory data…

Location-Based Social Networks

Established: November 13, 2011

The dimension of location brings social networks back to reality, bridging the gap between the physical world and online social networking services. In this project, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations. News The 4th International Workshop on Location-Based Social Networks (LBSN 2012) will be held in conjunction with UbiComp 2012 at…

Cross-Domain Data Fusion

Established: November 20, 2010

1. Overview Traditional data mining usually deals with data from a single domain. In the big data era, we face a diversity of datasets from different sources in different domains. These datasets consist of multiple modalities, each of which has a different representation, distribution, scale, and density. How to unlock the power of knowledge from multiple disparate (but potentially connected) datasets is paramount in big data research, essentially distinguishing big data from traditional data mining…

T-Drive: Driving Directions based on Taxi Traces

Established: September 16, 2010

T-drive is a smart driving direction services based on GPS trajectories of a large number of taxis. It helps user find out the practically fastest path to a destination at a given departure time. A prototype has been built based on a real-world trajectory dataset generated by 30,000 taxis in Beijing in a period of 3 monthes. The service is available (within Microsoft corpnet), which provides a user with the practically fastest path with less online computation and according to your…

GeoLife: Building Social Networks Using Human Location History

Established: February 6, 2009

GeoLife is a location-based social-networking service, which enables users to share life experiences and build connections among each other using human location history. Dr. Yu Zheng started this project in 2007 with his team. Application Scenarios GeoLife enables user to share travel experience using GPS trajectories. By mining multiple users’ location histories, GeoLife can discover the top most interesting locations, classical travel sequences and travel experts in a given geospatial region,…

城市计算

Established: March 18, 2008

城市计算是一个交叉学科，是计算机科学以城市为背景，跟城市规划、交通、能源、环境、社会学和经济等学科融合的新兴领域。更具体的说，城市计算是一个通过不断获取、整合和分析城市中多种异构大数据来解决城市所面临的挑战（如环境恶化、交通拥堵、能耗增加、规划落后等）的过程。城市计算将无处不在的感知技术、高效的数据管理和分析算法，以及新颖的可视化技术相结合，致力于提高人们的生活品质、保护环境和促进城市运转效率。城市计算帮助我们理解各种城市现象的本质，甚至预测城市的未来[1][2]。（English Homepage） [1] Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology. 5(3), 2014 [2] 郑宇. 城市计算概述，武汉大学学报. 2015年1月，40卷第一期 [3] 演讲视频 2017年4月：CCF ADL 1小时报告 [视频讲解：深度学习在深空数据上的探索]（用CCF会员号登陆后免费观看） 2017年3月清华演讲：城市计算：用大数据和AI驱动智能城市（视频和ppt） 2015年香港浸会大学：1小时视频（video）介绍城市计算的数据融合问题。 [4] 轨迹数据挖掘综述： Yu Zheng. Trajectory Data Mining: An Overview. ACM Transaction on Intelligent Systems and Technology. 2015, vol. 6, issue 3. ) (A Tutorial) [5] 跨域数据融合综述：Yu Zheng. Methodologies for Cross-Domain Data Fusion: An Overview. IEEE Transactions…

Urban Computing

Established: March 18, 2008

Concept (中文主页) Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g. air pollution, increased energy consumption and traffic congestion. Urban computing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to…

Trajectory Data Mining

Established: December 1, 2007

Urban Computing with Taxicabs

October 20, 2011

Urban Air: Video Clips

January 1, 1970

Urban Noise Demonstration

January 1, 1970

Gas Consumption and Pollution Emission

January 1, 1970

Editorial Boards, Editors, and Guest Editors
The Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology (ACM TIST)
Member of the Editorial Advisory Board of IEEE Spectrum
Member of the Editorial Board of IEEE Transactions on Big Data
Action Editor of GeoInformatica. Springer.
Associate editor of Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Member of The Advisory Editorial Board of the International Journal on Ambient Intelligence and Smart Environments (ISBN 1876-1364)

Keynotes

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 15^th 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

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
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)
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)
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)
Senior PC of Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD 2012) (2013)(2014)(2015)(2016)
Best paper awarding committee PAKDD 2017
ACM SIGSPATIAL International Conference on Geographic Information Systems (GIS 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

How DB meets AI, DASFFA 2017.
Roundtable of Thought Leaders on Innovation in Cities: (Video of my presentation)
Panel on the Technology for connected cities, at EmTech’13
Early Career Panel, at Spatial and Spatio-Temporal Databases (SSTD 2011).
Mobile applications, Wireless China Industry Summit 2010
Location-Based Services, Wireless China Industry Summit 2009
Location-Based Services, Wireless China Industry Summit 2008

News

2016.8.15: We organized a session entitled Data Science of China at KDD 2016. (Report)
2015.6.16: We are organizing a special issue on Urban Computing at IEEE Transactions on Big Data. New!
2015.4.5: We are organizing the 4th International Workshop on Urban Computing (UrbComp 2015) in conjunction with KDD 2015. New!
2015.1. 19: I was invited to give a speech at the Roundtable of Thought Leaders on Innovation in Cities: (Video of my presentation)
2014.12.2: I gave a Distinguished Lecture at Hong Kong Baptist University about Urban computing. Check the video.
2014.10.3: Special issue on Urban Computing at ACM TIST is now online for download.
2014.9.24: I was invited to give a keynote speech at the 2nd International Conference on Sustainable Urbanization (ICSU 2015).
2014.9.2: I was named one of the 2014 Top 40 Business Elites under 40 in China by Fortune ( see more… )
2014.8.28: United Nations featured our research published at KDD 2014 (see more… )
The homepage of CityNoise has been launched.
Two papers accepted by UbiComp 2014 and three papers accepted by KDD 2014.
2014.4.18: We are organizing the 3rd International Workshop on Urban Computing (UrbComp 2014)
2014.4.10: I gave a keynote speech at APEC 2014 smart city innovation & technology cooperation forum.
2014.3.25: I am organizing UIC 2014 as a program chair.
2014.3.24: Urban Air homepage launched.

More news

Books, Book Chapters and Proceedings

M. A. Nascimento, T. Sellis, R. Cheng, J. Sander, Yu Zheng, H.-P. Kriegel, M. Renz, C. Sengstock (Eds.): Advances in Spatial and Temporal Databases – 13th International Symposium, SSTD 2013, Proceedings. Springer 2013, ISBN 978-3-642-40234-0
Yu Zheng, Xiaofang Zhou. Computing with Spatial Trajectories. Springer 2011. ISBN:978-1-4614-1628-9
Yu Zheng. Location-Based Social Networks: Users. Springer press, 2011. (a book chapter). ISBN: 978-1-4614-1628-9
Yu Zheng, Xing Xie. Location-Based Social Networks: Locations. Springer press, 2011. (a book chapter)
Yu Zheng, Mohamed F. Mokbel. Proceeding of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks. LBSN 2011. (Link to ACM DL).
Yu Zheng, Ouri Wolfson. Proceeding of the International Workshop on Urban Computing. UrbComp 2012. (Link to ACM DL)
Yu Zheng, Jason Hong. Proceeding of the 4th International Workshop on Location-Based Social Networks. LBSN 2012. (Link)
Yu Zheng, Steven E. Koonin, Ouri Wolfson. Proceeding of the 2nd International Workshop on Urban Computing. UrbComp 2013.

Conference and Journal Publications

2017

Julie Yixuan Zhu*, Chao Zhang*, Huichu Zhang, Shi Zhi, Victor O.K. Li, Jiawei Han, and Yu Zheng, pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. IEEE Transactions on Big Data. DOI: 10.1109/TBDATA.2017.2723899
Jie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng. Planning bike lanes based on Sharing-bike’s trajectories. in Proceedings of the 23th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017).
Yuhong Li, Jie Bao, Yanhua Li, Zhiguo Gong, Yu Zheng. Mining the Most Influential k-Location Set From Massive Trajectories. IEEE Transactions on Big Data. 2017， 10.1109/TBDATA.2017.2717978.
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)(ppt)
Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo, Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE 2017 (Data and Codes)(Slides)
Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang and Jiawei Han. Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. WWW 2017
Dongyu Liu, Di Weng, Yuhong Li, Jie Bao, Yu Zheng, Huaming Qu, Yingcai Wu, “SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations”, IEEE Transactions on Visualization and Computer Graphics 23 (1), 1-10

2016

Minh X. Hoang, Yu Zheng, Ambuj K. Singh. FCCF: Forecasting Citywide Crowd Flows Based on Big Data. in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2016) (PPT)(Code and Data)
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi. DNN-Based Prediction Model for Spatial-Temporal Data. in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2016) Demo Paper (arXiv version)(Code)(System)
Jie Bao, Ruiyuan Li, Xiuwen Yi, Yu Zheng. Managing Massive Trajectories on the Cloud. in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2016) (PPT) (Code) (System)
Yuhong Li, Jie Bao, Yanhua Li, Yingcai Wu, Zhiguo Gong, Yu Zheng. Mining the Most Influential k-Location Set from Massive Trajectories. in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2016) (System)
Siyuan Zhang, Lu Qin, Yu Zheng, and Hong Cheng. Effective and Efficient: Large-scale Dynamic City Express. IEEE Transactions on Data Engineering (TKDE) (PPT)
Shenggong Ji, Yu Zheng, Tianrui Li, Urban Sensing Based on Human Mobility, in Proceedings of the 18th ACM International Conference on Ubiquitous Computing (UbiComp 2016) (PPT)
Ying Wei, Yu Zheng, Qiang Yang, Transfer knowledge between Cities , in Proceedings of the 22th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2016) (PPT) (Code) (Data)
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Urban Water Quality Prediction based on Multi-task Multi-view Learning, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016) (Code)
Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li, ST-MVL: Filling Missing Values in Geo-sensory Time Series Data, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016) (Data and codes)
Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou, Modeling of Geographic Dependencies for Real Estate Ranking, in ACM Transactions on Knowledge Discovery from Data (ACM TKDD), Volume 11, Issue 1, 2016
Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance Kaplan, Shaowen Wang, Jiawei Han, GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams, in Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)

2015

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) (Code)(PPT)
Yexin Li, 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) (Code)(Data)(PPT)
Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang, Lei Zou, Detecting Urban Black Holes Based on Human Mobility Data, in Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2015)
Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng, Effective and Efficient: Large-scale Dynamic City Express, in Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2015)
Yuhong Li, Yu Zheng, Shenggong Ji, Wenjun Wang, Leong Hou U, Zhiguo Gong, Location Selection for Ambulance Stations: A Data-Driven Approach, in Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2015)
Yu Zheng, Trajectory Data Mining: An Overview, in ACM Transactions on Intelligent Systems and Technology (ACM TIST) hot!
Yu Zheng, Methodologies for Cross-Domain Data Fusion: An Overview, in IEEE Transactions on Big Data (IEEE TBD) hot!
Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng, Inferring Air Quality for Station Location Recommendation Based on Urban Big Data, in Proceedings of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2015)
Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li, Forecasting Fine-Grained Air Quality Based on Big Data, in Proceedings of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2015) (Data)(PPT)
Chao Zhang, Xiuli Ma, Yu Zheng, Jiawei Han, Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data, in Proceedings of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2015)
Shuo Ma, Ouri Wolfson, Yu Zheng, Real-Time City-Scale Taxi Ridesharing, in IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE) (Code)(Data)
Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie, Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility, in ACM Transactions on Intelligent Systems and Technology (ACM TIST)
Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong, Discovering Urban Functional Zones Using Latent Activity Trajectories, in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang, K-Nearest Neighbor Temporal Aggregate Queries, in Proceedings of the 18th International Conference on Extending Database Technology (EDBT 2015) (Slides)(Code)

2014

Yanjie Fu, Yong Ge, Yu Zheng, Yanchi Liu, Hui Xiong, Nicholas Jing Yuan, Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors, in Proceedings of the IEEE International Conference on Data Mining (ICDM 2014)
Jie Bao, Yu Zheng, David Wilkie, Mohamed F. Mokbel, Recommendations in Location-based Social Networks: A Survey, in GeoInformatica
Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang, Urban Computing: Concepts, Methodologies, and Applications, in ACM Transaction on Intelligent Systems and Technology (ACM TIST) hot!
Renchu Song, weiwei Sun, Baihua Zheng, Yu Zheng, PRESS: A Novel Framework of Trajectory Compression in Road Networks, in The 40th International Conference on Very Large Data Bases (VLDB 2014)
Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, Eric Chang, Diagnosing New York City’s Noises with Ubiquitous Data, in Proceedings of the 16th ACM International Conference on Ubiquitous Computing (UbiComp 2014)(Code)(Data)(tools)(PPT)
Xuxu Chen, Yu Zheng, Yubiao Chen, Qiwei Jin, Weiwei Sun, Eric Chang, Wei-Ying Ma, Indoor Air Quality Monitoring System for Smart Buildings, in Proceedings of the 16th ACM International Conference on Ubiquitous Computing (UbiComp 2014)
Jianqiu Xu, Ralf Hartmut Guting, Yu Zheng, The TM-RTree: An Index on Generic Moving Objects for Range Queries, in GeoInformatica, Springer, September 1, 2014
Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu, Inferring Gas Consumption and Pollution Emission of Vehicles throughout a City, in Proceedings of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014) (Data)(PPT)
Yilun Wang, Yu Zheng, Yexiang Xue, Travel Time Estimation of a Path using Sparse Trajectories, in Proceedings of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014) (Data and Codes)(PPT)
Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou, Exploiting Geographic Dependencies for Real Estate Appraisal: A Mutual Perspective of Ranking and Clustering, in Proceedings of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014)
Yilun Wang, Yu Zheng, Tong Liu, A Noise Map of New York City, in Proceedings of the 16th ACM International Conference on Ubiquitous Computing (UbiComp 2014 ), Demo Paper.
Tong Liu, Yu Zheng, Lubin Liu, Yanchi Liu, Yanmin Zhu, Methods for Sensing Urban Noises, in MSR-TR-2014-66, May 1, 2014
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, March 1, 2014
Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang, Xiaofang Zhou, Online Discovery of Gathering Patterns over Trajectories, in IEEE Transaction on Knowledge Discovery and Data Engineering (IEEE TKDE)

2013

Bei Pan, Yu Zheng, David Wilkie, Cyrus Shahabi, Crowd Sensing of Traffic Anomalies based on Human Mobility and Social Media, in Proceedings of the 21rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2013)
Lu-An Tang, Yu Zheng, Nicholas Jing Yuan, Jiawei Han, Alice Leung, Wen-Chih Peng, Thomas La Porta, A Framework of Traveling Companion Discovery on Trajectory Data Streams, in ACM Transactions on Intelligent Systems and Technology (ACM TIST)
Fuzheng Zhang, David Wilkie, Yu Zheng, Xing Xie, Sensing the Pulse of Urban Refueling Behavior, in Proceedings of the 15th ACM International Conference on Ubiquitous Computing (UbiComp 2013)
Yu Zheng, Furui Liu, Hsun-Ping Hsieh, U-Air: When Urban Air Quality Inference Meets Big Data, in Proceedings of the 19th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2013) (Data)
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). （Code）(Data) Best Paper Award!
Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang, On Discovery of Gathering Patterns from Trajectories, in Proceedings of The 29th IEEE International Conference on Data Engineering (ICDE 2013)
Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu, Destination Prediction by Sub-Trajectory Synthesis and Privacy Protection Against Such Prediction, in Proceedings of The 29th IEEE International Conference on Data Engineering (ICDE 2013)
Nicholas Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun, T-Drive: Enhancing Driving Directions with Taxi Drivers’ Intelligence, in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng, On Detection of Emerging Anomalous Traffic Patterns Using GPS Data, in Data & Knowledge Engineering (DKE)

2012

Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie, Inferring Social Ties between Users with Human Location History, in Journal of Ambient Intelligence and Humanized Computing
Sanjay Chawla, Yu Zheng, Jiafeng Hu, Inferring the Root Cause in Road Traffic Anomalies, in Proceedings of the IEEE International Conference on Data Mining (ICDM 2012)
Jie Bao, Yu Zheng, Mohamed F. Mokbel, Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data, in Proceedings of the 20rd ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2012)
Nicholas Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, T-Finder: A Recommender System for Finding Passengers and Vacant Taxis, in IEEE Transactions on Knowledge and Data Engineering (TKDE)
Nicholas Jing Yuan, Yu Zheng, Xing Xie, Discovering Regions of Different Functions in a City Using Human Mobility and POIs, in Proceedings of the 18th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2012)
Ling-Yin Wei, Yu Zheng, Wen-Chih Peng, Constructing Popular Routes from Uncertain Trajectories, in Proceedings of the 18th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2012)
Nicholas Jing Yuan, Yu Zheng, Xing Xie, Segmentation of Urban Areas Using Road Networks, MSR-TR-2012-65, July 1, 2012
Yu Zheng, Tutorial on Location-Based Social Networks, in proceeding of the 21st International conference on World Wide Web (WWW 2012)
Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou, Reducing Uncertainty of Low-Sampling-Rate Trajectories, in Proceedings of the 28th International Conference on Data Engineering (ICDE 2012)
Lu-An Tang, Yu Zheng, Nicholas Jing Yuan, Jiawei Han, Alice Leung, Chih-Chieh Hung, Wen-Chih Peng, On Discovery of Traveling Companions from Streaming Trajectories, in Proceedings of the 28th International Conference on Data Engineering (ICDE 2012)
Vincent W. Zheng, Yu Zheng, Xing Xie, Qiang Yang, Towards Mobile Intelligence: Learning from GPS History Data for Collaborative Recommendation, in Artificial Intelligence

2011

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng, On Mining Anomalous Patterns in Road Traffic Streams, in International Conference on Advanced Data Mining and Applications (ADMA 2011). Best Paper Award!
Yin Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang, Inferring Taxi Status Using GPS Trajectories, November 1, 2011
Nicholas Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, Guangzhong Sun, Where to Find My Next Passenger? , in Proceedings of the 13th ACM International Conference on Ubiquitous Computing (Ubicomp 2011)
Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie, Urban Computing with Taxicabs, in Proceedings of the 13th ACM International Conference on Ubiquitous Computing, (Ubicomp 2011). Best Paper Honorable Mention Award!
Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie, Discovering Spatio-Temporal Causal Interactions in Traffic Data Stream, in Proceedings of the 17th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2011)
Lu-An Tang, Yu Zheng, Xing Xie, Jing Yuan, Xiao Yu, Jiawei Han, Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations, in Proceedings of the 12th Symposium on Spatial and Temporal Databases (SSTD 2011)
Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun, Driving with Knowledge from the Physical World, in Proceedings of the 17th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2011)
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo, Social Itinerary Recommendation from User-generated Digital Trails, Personal and Ubiquitous Computing.
Yu Zheng, Lizhu Zhang, Zhengxin Ma, Xing Xie, Wei-Ying Ma, Recommending friends and locations based on individual location history, in ACM Transactions on the Web (ACM TWEB)
Yu Zheng, Xing Xie, Learning travel recommendations from user-generated GPS traces, in ACM Transaction on Intelligent Systems and Technology (ACM TIST)

2010

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 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 2010). Best Paper Award!
Yu Zheng, Xixuan Feng, Xing Xie, Shuang Peng, James Fu, Detecting Nearly Duplicated Records in Location Datasets, in Proceedings of 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2010)
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie, Finding Similar Users Using Category-Based Location History, in Proceedings of 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 20110)
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo, Smart Itinerary Recommendation based on User-Generated GPS Trajectories, in Proceedings of the International Conference on Ubiquitous Intelligence and Computing (UIC 2010). Best Paper Award!
Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang, Collaborative Filtering Meets Mobile Recommendation: A User-centered Approach, in proceedings of AAAI conference on Artificial Intelligence (AAAI 2010) (Data)(Codes)(PPT)
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zheng, Xing Xie, Searching Trajectories by Locations: An Efficiency Study, in Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data (SIGMOD 2010)
Yu Zheng, Xing Xie, Wei-Ying Ma, GeoLife: A Collaborative Social Networking Service among User, location and trajectory, in IEEE Data(base) Engineering Bulletin
Jing Yuan, Yu Zheng, Xing Xie, Chengyang Zhang, Guangzhong Sun, An Interactive Voting-based Map Matching Algorithm, in Proceedings of the 11th International Conference on Mobile Data Management (MDM 2010)
Yu Zheng, Xing Xie, Learning Location Correlation from GPS trajectories, in Proceedings of the 11th International Conference on Mobile Data Management (MDM 2010)
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang, Collaborative Location and Activity Recommendations With GPS History Data, in Proceedings of International conference on World Wide Web (WWW 2010) (Data and Codes)
Chang Sheng, Yu Zheng, Wynne Hsu, Mong Li Lee, Xing Xie, Answering Top-k Similar Region Queries, in Proceedings of Database Systems for Advanced Applications (DASFAA 2010)
Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma, Understanding transportation modes based on GPS data for Web applications, in ACM Transactions on the Web (ACM TWEB)

2009

Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang, Map-Matching for Low-Sampling-Rate GPS Trajectories, in Proceedings of 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 2009)
Yukun Chen, Yu Zheng, Xing Xie, Kai Jiang, Chunping Li, Nenghai Yu, Trajectory Simplification Method for Location-Based Social Networking Services, in SIGSPATIAL GIS workshop on location-based social networks
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma, Mining Correlation Between Locations Using Human Location History, in Proceedings of 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 2009)
Yang Ye, Yu Zheng, Yukun Chen, Jianhua Feng, Xing Xie, Mining Individual Life Pattern Based on Location History, in proceedings of the 10th International Conference on Mobile Data Management (MDM 2009)
Yu Zheng, Yukun Chen, Xing Xie, Wei-Ying Ma, GeoLife2.0: A Location-Based Social Networking Service, in proceedings of the 10th International Conference on Mobile Data Management (MDM 2009)
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 Wide Web (WWW 2009)

2008

Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Wei-Ying Ma, Mining user similarity based on location history, in Proceedings of the 16th ACM SIGSPATIAL conference on Advance in Geographical Information Systems (ACM SIGSPATIAL GIS 2008)
Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma, Understanding mobility based on GPS data, in Proceedings of the 10th ACM conference on Ubiquitous Computing (Ubicomp 2008)
Longhao Wang, Yu Zheng, Xing Xie, Wei-Ying Ma, A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval, in Proceedings of the 9th International conference on Mobile Data Management (MDM 2008)
Yu Zheng, Like Liu, Longhao Wang, Xing Xie, Learning Transportation Mode from Raw GPS Data for Geographic Application on the Web, in Proceedings of the 17th World Wide Web Conference (WWW 2008)

Honors

2016 ACM Distinguished Scientist for his contribution to spatio-temporal data mining and urban computing.
One of the Top 10 Most Popular Computer Science Books published by Chinese Authors at Springer.
Distinguished Member of China Computer Federation, July 2015
2014 Top 40 Business Elites under 40 in China by Fortune
2013 TR35 Award: Top Innovators Under 35 by MIT Technology Review, 2013.8
ACM Senior member, since Jan. 2012
IEEE Senior member, since Oct. 2011
Distinguished Speaker of China Computer Federation, 2013-present
Microsoft Golden Star, 2008
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 nominee award at the 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)
The most cited paper in ACM SIGSPATIAL GIS 2008 and 2010
The most cited paper in UbiComp 2008
The most cited paper in IEEE Data Engineering Bulletin 2010
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

GeoLife Trajectory Dataset

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.

T-Drive Taxi Trajectories

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).

GPS Trajectories with Transportation Mode Labels

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.

Taxi request simulator

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).

Check-in data from Foursquare

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).

Air quality data of Beijing and Shanghai

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.

Traffic and geographical features of each road segments

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.

Noise complaint data and geographical data of NYC

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.

Air quality data, meteorological data and weather forecasts of 43 cities in China.

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).

Bike Sharing data coupled with weather conditions.

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.

Three datasets for detecting collective anomalies

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.

Inflow and outflow of crowds in each and every region of a city

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)

郑宇 (博士、教授、博导)，微软亚洲研究院城市计算领域负责人、资深研究员、上海交通大学讲座教授（Chair Professor）、香港科技大学和香港理工大学客座教授，主要研究方向为城市大数据、时空数据挖掘、机器学习、人工智能和普适计算等。
他提出了“城市计算”的理念，发表高质量论文百余篇，其中以主作者身份在KDD、TKDE、AI等顶尖国际会议和刊物上发表相关论文50余篇，并在ICDE2013和ACM SIGSPATIAL2011等会议上五次获得最佳论文奖，论文被引用13,000余次，2016年论文单年被引用3400余次，H-Index：54。由他主编的《Computing with Spatial Trajectories》一书被美国、加拿大、澳大利亚、中国和韩国的高校选用为教材，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。
他是微软研究院“城市计算”领域的负责人，获得24项国际发明专利和三项技术转化奖，多项研究成功被应用在微软的产品中，如Bing Maps和CityNext。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。
他是人工智能顶尖国际期刊（SCI一区）ACM Transactions on Intelligent Systems and Technology（ACM TIST）的主编（Editor-in-Chief）。2016年ACM TIST每篇论文平均被引用18次，在所有ACM旗下的学术期刊中排名第一，ACM TIST近五年影响因子高达10.47，在所有计算机类期刊中名列第二。此外，他还是IEEE旗舰刊物 IEEE Spectrum的顾问委员会成员，以及IEEE Transactions on Big Data和GeoInformatica的编委。他是ACM数据挖掘中国分会秘书长和创始人之一，以及中国计算机学会的杰出讲者和杰出会员、CCF ADL工作组组长和CCCF的编委。
他担任过数据库顶级会议ICDE2014程序委员会主席（Industrial Track）、普适计算顶级会议UbiComp 2011本地主席、UbiComp 2012工业界主席、CIKM2017程序委员会主席（Industrial Track）和ICDM2015领域主席等职位，并多次担任KDD、ICDM、 SDM、PAKDD和AAAI等国际会议的资深程序委员会委员。他受邀在IE’14和APEC2014等十多个国际会议和论坛上做大会主题报告，并多次在MIT、CMU、康乃尔等顶尖学府讲学。
2013年，他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一共评选出35位35岁以下的顶尖科学家）。2013年11月，他作为现代创新者代表登上了美国《时代》周刊（Time Magazine）。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，他被美国《财富》评选为中国40位40岁以下商界精英。2016年被评为美国计算机学会杰出科学家 (ACM Distinguished Scientist)。

更多信息请参看他的个人主页http://research.microsoft.com/en-us/people/yuzheng/.

My Ph.D. Students

Huichu Zhang, Shanghai Jiao Tong University, 2015
Zheyi Pang, 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

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

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