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, an Adjunct Professor of Hong Kong University of Science and Technology, Hong Kong Polytechnic University and Nanjing University, and an Affiliate Professor and the President of Artificial Intelligences Institute of Southwest Jiaotong University. So far, he has supervised over 100 Ph.D. students from around the world. 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 2019~2026.

Zheng publishes over 200 referred papers 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 67,000 times (Google Scholar H-Index: 117 by Jan. 2026). 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 IEEE BigData 2025) 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. He was named an IEEE Fellow (2020) and ACM Fellow (2025) 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

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 2025 IEEE International Conference on Big Data (IEEE BigData 2025)
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 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

Area Chair of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025)
Area Chair of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
Area Chair of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)
Area Chair of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)
Area Chair of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
Area Chair of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
Area Chair of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019)
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

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.

Books, Book Chapters and Proceedings

Urban Computing

Publisher: MIT Press

Authors: Yu Zheng

Year: 2019

ISBN: 978-0-2620-3908-6

Download PDF

Download Courseware (PPT)
Computing with Spatial Trajectories

Publisher: Springer Press

Authors: Yu Zheng, Xiaofang Zhou

Year: 2011

ISBN: 978-1-4614-1628-9

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. 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

2025

Yu Zheng. Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World. in ACM Transactions on Intelligent Systems and Technology, 17, 1, Article No.: 1, Pages 1 - 32. http://dx.doi.org/10.1145/3768625 (ACM TIST) hot!
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang. AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. In Proceedings of the 39th AAAI Conference. (AAAI 2025)
Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2025)
Jiajun Li, Shuxiang Gou, Ruiyuan Li, Huajun He, Wenhui Li, Yu Zheng. DiST: Efficient Distributed Spatio-Temporal Clustering with Automatic Parameter Optimization. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao and Yu Zheng. Spatial Meta Learning with Comprehensive Prior Knowledge Injection for Service Time Prediction IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan and Yu Zheng. AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction. in Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE'25), 2025. (ICDE 2025)
You Shang, Xiang He, Ruiyuan Li, Yingying Sun, Guanyao Li, Guangchao Yang, Junbo Zhang, Yu Zheng. General Adaptive Memory Allocation for Learned Bloom Filters. In 34th ACM International Conference on Information and Knowledge Management. (CIKM 2025)
Ruiyuan Li, Zechao Chen, Ruyun Lu, Xiaolong Xu, Guangchao Yang, Chao Chen, Jie Bao, Yu Zheng. Serf: Streaming Error-Bounded Floating-Point Compression. International Conference on Management of Data. (SIGMOD 2025)

2024

Yu Zheng. Building bidirectional digital channels between governments and citizens. Big Data Research, 2024. (郑宇. 政民互通：构建政府和居民之间的双向信息通道[J]. 大数据, 2024, 10(1): 127-140.) (数据要素三部曲之一)
Yu Zheng, Xiuwen Yi, Dekang Qi, Zheyi Pan. An Elementarisation Method for Public Data Based on Urban Knowledge Systems. Big Data Research, 2024. (郑宇, 易修文, 齐德康, 潘哲逸. 基于城市知识体系的公共数据要素构建方法. 大数据, 2024, 10(4): 130-148.) (数据要素三部曲之二)
Yu Zheng. Mechanisms and techniques for operating public data right. Big Data Research, 2024. (郑宇. 公共数据的产权运行机制与技术方案. 大数据, 2024, 10(5):138-150.) (数据要素三部曲之三)
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang. Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. InfoFusion 2024.
Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang. NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. ICLR 2024.
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng. Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng. Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2024)
Ruiyuan Li, Jiajun Li, Minxin Zhou, Rubin Wang, Huajun He, Chao Chen, Jie Bao, Yu Zheng. Learning-Based Distributed Spatio-Temporal k Nearest Neighbors Join. IEEE Transactions on Big Data. (TBD)
Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng. TMan: A High-Performance Trajectory Data Management System Based on Key-value Stores. IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024. (ICDE 2024)
Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng. Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024. (ICDE 2024)
Yu Zheng. Urban Sensing Systems. Geomatics and Information Science of Wuhan University, 2024, 49(10): 1770-1787. (郑宇. 城市感知体系. 武汉大学学报（信息科学版）, 2024, 49(10): 1770-1787)

2023

Zhipeng Ma, Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li, Yu Zheng. SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2023)
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann. Graph Neural Processes for Spatio-Temporal Extrapolation. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2023)
Ruiyuan Li, Zheng Li, Yi Wu, Chao Chen, Yu Zheng. Elf: Erasing-based Lossless Floating-Point Compression. in The 49th International Conference on Very Large Data Bases, PVLDB, 16(7): 1763 - 1776, 2023. (VLDB 2023)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S Rosenblum, and Roger Zimmermann. Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng. AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. in Artificial Intelligence.
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann. AirFormer: Predicting Nationwide Air Quality in China with Transformers. In Proceedings of the 37th AAAI Conference. (AAAI 2023)
Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng. Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. in Proceedings of The 37th AAAI Conference on Artificial Intelligence. (AAAI 2023)
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng. Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. in Proceedings of The 37th AAAI Conference on Artificial Intelligence. (AAAI 2023)

2022

Yu Zheng. The Knowledge System for Intelligent Cities. Geomatics and Information Science of Wuhan University, 2022, 48(1): 1-16. (郑宇. 城市知识体系. 武汉大学学报•信息科学版, 2022, 48(1): 1-16)
Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann. When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?. in Proceedings of the 30th ACM International Conference on Advances in Geographical Information Systems. (ACM SIGSPATIAL 2022)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann. TrajFormer: Efficient Trajectory Classification with Transformers. In 31th ACM International Conference on Information and Knowledge Management. (CIKM 2022)
Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2022)
Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng. Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2022)
Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng. Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories. in IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022)
Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng. TraSS: Efficient Trajectory Similarity Search Based on Key-Value DataStores. in IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022)
Shuncheng Liu, Zhi Xu, Huimin Ren, Tianfu He, Boyang Han, Jie Bao, Kai Zheng, Yu Zheng. Detecting Loaded Trajectories for Hazardous Chemicals Transportation. in IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. (ICDE 2022)
Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng. DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. In Proceedings of the 36th AAAI Conference. (AAAI 2022)
Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin. Forecasting Fine-grained Urban Flow via Spatio-temporal Contrastive Self-Supervision. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng. Shortening passengers’ travel time: A dynamic metro train scheduling approach using deep reinforcement learning. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Tianfu He, Jie Bao, Yexin Li, Hui He, Yu Zheng. Crowd-sensing Enhanced Parking Patrol using Sharing Bikes’ Trajectories. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Yu Zheng. Unified Urban Governance Models[J]. Geomatics and Information Science of Wuhan University, 2022, 47(1):19-25. (郑宇. 城市治理一网统管[J]. 武汉大学学报·信息科学版, 2022, 47(1):19-25)

2021

Yu Zheng. Data Scientists. Communications of the CCF. (郑宇. 数据科学家. 中国计算机学会通讯)
Ruiyuan Li, Rubin Wang, Junwen Liu, Zisheng Yu, Huajun He, Tianfu He, Sijie Ruan, Jie Bao, Chao Chen, Fuqiang Gu, Liang Hong, Yu Zheng. Distributed Spatio-Temporal k Nearest Neighbors Join. in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021) (System)
Huajun He, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng. JUST-Traj: A Distributed and Holistic Trajectory Data Management System (Demo Paper). in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021) (System)
Yue Hu, Sijie Ruan, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li and Yu Zheng. SALON: A Universal Stay Point-Based Location Analysis Platform (Demo paper). in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021) (System)
Zheng Zhu, Huimin Ren, Sijie Ruan, Boyang Han, Jie Bao, Ruiyuan Li, Yanhua Li and Yu Zheng. ICFinder: A Ubiquitous Approach to Detecting Illegal Hazardous Chemical Facilities with Truck Trajectories (Short Paper). in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021)
Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He and Yu Zheng. POI Alias Discovery in E-commerce Delivery Address Data using User Check-ins (Short Paper). in Proceedings of the 29th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2021)
Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. Filling Delivery Time Automatically Based on Couriers' Trajectories. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng. Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning. in Proceedings of the 27th SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2021)
Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng. MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning. in Proceedings of the 27th SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2021)
Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong, Yu Zheng. TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
Zikun Deng, Di Weng, Yuxuan Liang, Jie Bao, Yu Zheng, Tobias Schreck, Mingliang Xu, and Yingcai Wu. Visual Cascade Analytics of Large-scale Spatiotemporal Data. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)
Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng. AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graphs. In Proceedings of The 2021 Web Conference. (WWW 2021)
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann. Fine-Grained Urban Flow Prediction. In Proceedings of The 2021 Web Conference. (WWW 2021)
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. In Proceedings of the 35th AAAI Conference. (AAAI 2021)
Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng. Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. In Proceedings of the 35th AAAI Conference. (AAAI 2021)

2020

Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng. Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Transactions on Big Data. (TBD)
Di Weng, Chengbo Zheng, Zikun Deng, Mingze Ma, Jie Bao, Yu Zheng, Mingliang Xu, Yingcai Wu, Towards Better Bus Networks: A Visual Analytics Approach, in IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng and Jun Luo, Is Reinforcement Learning the Choice of Human Learners? A Case Study of Taxi Drivers. in Proceedings of the 28th ACM International Conference on Advances in Geographical Information Systems（ACM SIGSPATIAL 2020）
Yingcai Wu, Di Weng, Zikun Deng, Jie Bao, Mingliang Xu, Zhangye Wang, Yu Zheng, Zhiyu Ding, Wei Chen, Towards Better Detection and Analysis of Massive Spatiotemporal Co-Occurrence Patterns， in IEEE Transactions on Intelligent Transportation Systems. (IEEE TITS)
Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li.You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users. in 29th ACM International Conference on Information and Knowledge Management. (CIKM 2020)
Yexin Li, Yu Zheng, Qiang Yang. Cooperative Multi-Agent Reinforcement Learning in Express System. in 29th ACM International Conference on Information and Knowledge Management. (CIKM 2020)
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum. Fine-Grained Urban Flow Inference. IEEE Transactions on Knowledge and Data Engineering, 2020. (TKDE)
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng. Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. IEEE Transactions on Knowledge and Data Engineering, 2020. (TKDE)
Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng. Federated Forest, IEEE Transactions on Big Data. (TBD)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum. Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. in European Conference on Principles and Practice of Knowledge Discovery in Databases. (ECML-PKDD 2020)
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng. Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Transactions on Knowledge and Data Engineering, 2020. (TKDE)
Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, and Yu Zheng. AutoST: Eﬀicient Neural Architecture Search for Spatio-Temporal Prediction. in Proceedings of the 26th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2020)
Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, and Yu Zheng. Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. in Proceedings of the 26th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2020)
Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng. Predicting and Ranking Box Office Revenue of Movies Based on Big Data. Information Fusion.
Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng. Predicting Urban Water Quality with Ubiquitous Data - A Data-driven Approach. IEEE Transactions on Big Data. (TBD)
Ruiyuan Li, Jie Bao, Huajun He, Sijie Ruan, Tianfu He, Liang Hong, Zhongyuan Jiang, Yu Zheng. Discovering Real-time Reachable Area using Trajectory Connections. in 25th International Conference on Database Systems for Advanced Applications. (DASFAA 2020) (Slides)
Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng. Dynamic Public Resource Allocation based on Human Mobility Prediction. in the ACM international joint conference on pervasive and ubiquitous computing. (UbiComp 2020)
Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Song Li, Hui He, Yu Zheng. What is the Human Mobility in a City? Transfer Mobility Knowledge Across Cities. In Proceedings of The 2020 Web Conference (WWW 2020)(Slides)
Ruiyuan Li, Huajun He, Rubin Wang, Yuchuan Huang, Junwen Liu, Sijie Ruan, Tianfu He, Jie Bao, Yu Zheng. JUST: JD Urban Spatio-Temporal Data Engine. The 36th IEEE International Conference on Data Engineering. (ICDE 2020) (Slides)
Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Yuan Sui, Jie Bao, Yu Zheng. TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data (Short Paper). The 36th IEEE International Conference on Data Engineering. (ICDE 2020) (Slides)
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng. Learning to Generate Maps from Trajectories. In Proceedings of the 34th AAAI Conference. (AAAI 2020)(Slides)
Qianru Wang, Junbo Zhang, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng. CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach. in the ACM international joint conference on pervasive and ubiquitous computing. (UbiComp 2020)

2019

Zikun Deng, Di Weng, Jiahui Chen, Ren Liu, Zhibin Wang, Jie Bao, Yu Zheng, Yingcai Wu. AirVis: Visual Analytics of Air Pollution Propagation, in IEEE Transactions on Visualization and Computer Graphics. (TVCG)
Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng. Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. in 28th ACM International Conference on Information and Knowledge Management. (CIKM 2019)
Xiuwen Yi, Zhewen Duan, Ting Li, Junbo Zhang, Tianrui Li, Yu Zheng. CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. in 28th ACM International Conference on Information and Knowledge Management. (CIKM 2019)
Pengyang Wang, Yanjie Fu, Xiaolin Li, Yu Zheng, Charu Aggarwal. Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Transactions on Knowledge and Data Engineering. (TKDE, Accepted)
Yexin Li, Yu Zheng, Qiang Yang. Efficient and Effective Express via Contextual Cooperative Reinforcement Learning, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019)
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng. UrbanFM: Inferring Fine-Grained Urban Flows, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019) (Code & Data)
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang. Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019)
Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng. TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019)(Slides)
Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang. Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019)
Yunchao Zhang, Yanjie Fu, Pengyang Wang, Yu Zheng, Xiaolin Li. Unifying Inter-region Autocorrelation and Intra-region Structures for Spatioal Embedding via Collective Adversarial Learning, in Proceedings of the 25th SIGKDD conference on Knowledge Discovery and Data Mining. (KDD 2019)
Tianfu He, Jie Bao, Sijie Ruan, Ruiyuan Li, Yanhua Li, Hui He, Yu Zheng. Interactive Bike Lane Planning Using Sharing Bikes's Trajectories. IEEE Transactions on Knowledge and Data Engineering, 2019. (TKDE)
Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li. 2019. Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services. In Proceedings of The 2019 Web Conference (WWW 2019) [PPT]
Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li. 2019. A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2019). [PPT]
Yexin Li, Yu Zheng. Citywide Bike Usage Prediction in a Bike-Sharing System. IEEE Transactions on Data Engineering (TKDE)
Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi. Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning. IEEE Transactions on Data Engineering (TKDE).

2018

Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo. Human-Centric Urban Transit Evaluation and Planning. in Proceedings of the IEEE International Conference on Data Mining. (ICDM 2018).
Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Liang Hong, Yu Zheng. Efficient Path Query Processing over Massive Trajectories on the Cloud. IEEE Transactions on Big Data. (TBD).
Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla. DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction. in 27th ACM International Conference on Information and Knowledge Management. (CIKM 2018).
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch. Network-wide Crowd Flow Prediction of Sydney Trains via customized Online Non-negative Matrix Factorization. in 28th ACM International Conference on Information and Knowledge Management. (CIKM 2018).
Tianfu He*, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng. Detecting Vehicle Illegal Parking Events using Sharing Bikes’ Trajectories. in Proceedings of the 24th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2018).
Xiuwen Yi*, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng. Deep Distributed Fusion Network for Air Quality Prediction. in Proceedings of the 24th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2018).
Yexin Li*, Yu Zheng, Qiang Yang. Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach. in Proceedings of the 24th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2018).
Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu Aggarwal. You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018)
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng. GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018). (Code)
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li. Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks. in Artificial Intelligence
Huichu Zhang, Yu Zheng, Yong Yu. Detecting Urban Anomalies using Multiple Spatio-Temporal Data Sources. In Proceedings of the 20th ACM International Conference on Ubiquitous Computing (UbiComp 2018)
Sijie Ruan, Ruiyuan Li, Jie Bao, Tianfu He, Yu Zheng. CloudTP: A Cloud-based Flexible Trajectory Preprocessing Framework. The 34th IEEE International Conference on Data Engineering (ICDE 2018). Demo Paper
Di Weng, Heming Zhu, Jie Bao, Yu Zheng,Yingcai Wu, HomeFinder Revisited: Finding Ideal Homes with Reachability-Centric Multi-Criteria Decision Making, the 2018 ACM Conference on Human Factors in Computing Systems (CHI 2018)
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng, When Will You Arrive Estimating Travel Time Based on Deep Neural Networks. In Proceedings of the 32nd AAAI Conference (AAAI 2018)

2017

Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng, City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. in Proceedings of the 25th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2017)
Yuxuan Liang, Zhongyuan Jiang, Yu Zheng. Inferring Traffic Cascading Patterns, in Proceedings of the 25th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2017)
Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu and Yu Zheng. Querying Massive Trajectories by Path on the Cloud (Short Paper). in Proceedings of the 25th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2017)
Ruiyuan Li, Sijie Ruan, Jie Bao and Yu Zheng. A Cloud-based Trajectory Data Management System (Demo Paper). in Proceedings of the 25th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2017)(Best Demo Award Runners Up)
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 (Code and Data)
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) SIGSPATIAL 2023 10-Year-Impact Award
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) SIGKDD 2024 Test of Time Award!
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) SIGSPATIAL 2022 10-Year-Impact Award
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). SIGKDD 2022 Test of Time Award!
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! SIGSPATIAL 2020 10-Year Impact 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 2010)
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). IEEE MDM 2023 Test-of-Time Award
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) SIGSPATIAL 2019 10-Year Impact Award!
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

ACM Fellow 2025
SIGKDD 2024 Test-of-Time Award, U-Air: When Urban Air Quality Inference Meets Big Data. (Slides of the Presentation)
ACM SIGSPATIAL 10-Year Impact Award in 2023, Crowd Sensing of Traffic Anomalies based on Human Mobility and Social Media
IEEE MDM Test-of-Time Award in 2023, An Interactive Voting-based Map Matching Algorithm
ACM SIGSPATIAL 10-Year Impact Award in 2022, Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data
SIGKDD 2022 Test-of-Time Award, Discovering Regions of Different Functions in a City Using Human Mobility and POIs
IEEE Fellow in 2020
ACM SIGSPATIAL 10-Year Impact Award in 2020, T-Drive: Driving Directions Based on Taxi Trajectories
ACM SIGSPATIAL 10-Year Impact Award in 2019, Map-Matching for Low-Sampling-Rate GPS Trajectories
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（1979年-）博士、教授，湖南衡阳人，国际计算机学会会士（ACM Fellow）、国际电器与电子工程师协会会士（IEEE Fellow），京东集团副总裁、京东科技首席数据科学家、京东城市总裁、京东智能城市研究院院长，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。在加入京东集团之前，在微软亚洲研究院工作12年，是城市计算领域负责人；同时也是上海交通大学的讲座教授（Chair Professor）、西安电子科技大学华山学者讲座教授、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，以及西南交通大学人工智能研究院院长。

提出了城市计算理论体系，在国际上开辟了“城市计算”（Urban Computing）领域和学科，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。在顶尖国际期刊和会议上发表论文两百余篇，论文被引用67,000余次，H-Index：117，根据Google Scholar的排名，在城市计算和时空数据挖掘领域均位列世界第一。个人专著《Urban Computing》由麻省理工出版社出版，成为该领域的第一本教科书，被翻译成多个国家的语言，在高校中使用。主编的《Computing with Spatial Trajectories》一书被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。连续多年入选全球高被引学者和全球顶尖科学家，根据AI2000影响力排名，在数据挖掘领域位列中国第一、全球第八。

2019年，作为中国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，并在MDM 2021、SSTD 2021、KDD 2019 Plenary Keynote Panel和IEEE Big Data 2025等十几个国际会上发表主旨演讲。在国内人工智能、机器学习、数据挖掘和大数据领域的最高等级会议（CCFAI、CCML、CCDM、CCF BIGDATA）上均做过大会主旨报告。

担任人工智能旗舰刊物ACM Transactions on Intelligent Systems and Technology的主编（2015-2021）—是担任ACM顶尖期刊主编的首位大陆学者；担任大数据领域知名国际会议ICDE2014和CIKM2017的程序委员会主席、人工智能领域顶尖国际会议IJCAI2019的工业界主席，以及ACM数据挖掘中国分会（KDD China）主席，有效连接了工业界和学界，国内和国际的数据科学领域。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、中国计算机学会人工智能专委会常委等社会职务。担任北京大数据交易所、首都会展集团、特斯联、首旅慧科等公司的董事。

拥有丰富的科研实践和项目落地经验，主持国家级科研项目4项，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。拥有100多项国际和中国发明专利，多项研究成果被应用于微软和京东的产品，获得两次获得国家优秀专利奖、三次微软技术转化奖和京东集团最高奖项“CEO特别奖”。他主持研发的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。

具有二十余年中美领先科技公司的管理和产品研发经验。开创了京东智能城市业务板块，为全国70多个城市提供服务，创造直接经济效益超百亿元，具有丰富的战略规划、组织管理、产品研发、和产业拓展经验。提出的城市计算为雄安智能城市建设提供了理论支撑，带领团队研发的城市操作系统成为雄安新区的数字底座，经国家批复，雄安的智能中枢以“雄安城市计算中心”命名。主导了南通、大同等十余个城市的一网统管项目，撰写的《城市治理一网统管》一书，成为多地政府的学习材料。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和协同效率。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。

七项研究成果历经行业十年的验证，分别于2022和2024年两次获得国际数据挖掘领域最高技术奖SIGKDD Test-of-Time Award（中国唯一学者），于2019、2020、2022和2023年四次获得时空数据领域国际最高技术奖SIGSPATIAL 10-Year-Impact Award（全球唯一），以及IEEE MDM 2023 Test-of-Time Award。获得中国计算机学会科技进步一等奖（排1）、中国电子学会优秀博士论文导师奖两次（2022和2024）。

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。获得首都劳动奖章（2020）和中国AI金雁奖卓越成就奖（2021）。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”。2025年经北京市委组织部遴选，入选“首都一线产业科技人才宣讲团”（新一代信息技术方向代表）。因在时空数据挖掘和城市计算领域的杰出贡献，于2016年被评为美国计算机学会杰出科学家（ACM Distinguished Scientist），2020年11月，被评为国际电气与电子工程师协会会士（IEEE Fellow），2026年1月，当选国际计算机学会会士（ACM Fellow）。

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

学生必读：https://student.urban-computing.com/

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

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