URBAN COMPUTING - Key Persons
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)
Job Titles:
- Master Candidate @ ETH, Zurich
David Wilkie. Ph.D. student @ University of North Carolina at Chapel Hill, USA
Dr. Yu Zheng is the Vice President of JD.COM, leading the JD Intelligent Cities Business Unit and JD Intelligent Cities Research. He also serves as the Chief Data Scientist at JD Technology, passionate about using big data and AI technology to tackle urban challenges. Before Joining JD.COM, he was a senior research manager at Microsoft Research, with research interests across big data analytics, spatio-temporal data mining, machine learning and artificial intelligence.
Zheng is also a Chair Professor at Shanghai Jiao Tong University and an Adjunct Professor at Hong Kong University of Science and Technology. He served as the Editor-in-Chief of ACM Transactions on Intelligent Systems and Technology from 2015 to 2021, and a member of Editorial Advisory Board of IEEE Spectrum. He is also an Editorial Board Member of IEEE Transactions on Big Data and the Chair-elected 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 2019/2022.
Zheng publishes referred papers frequently as a leading author at prestigious conferences and journals, such as KDD, IJCAI, AAAI, VLDB, UbiComp, and IEEE TKDE. Those papers have been cited over 50,000 times (Google Scholar H-Index: 100 by Dec. 2023). He received SIGKDD 2022 Test-of-Time Award, the 10-Year Impact Award from ACM SIGSPATIAL four times in 2019, 2020, 2022 and 2023 respectively, the Test-of-Time Award from IEEE MDM 2023, and five best paper awards from ICDE'13 and ACM SIGSPATIAL'10, etc. He has been invited to give keynote speeches at international conferences and forums (e.g. AAAI 2019, KDD 2019 Plenary Keynote Panel, IJCAI 2019 Industrial Days, MDM 2021 and SSTD2021) and guest lectures in universities like MIT, CMU, and Cornell. His book, titled "Computing with Spatial Trajectories", has been used as a text book in universities worldwide and honored as the Top 10 Most Popular Computer Science Book authored by Chinese at Springer. His monograph, entitled "Urban Computing" (MIT Press), is the first text book in this field.
Zheng has 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. In 2016, Zheng was honored as an ACM Distinguished Scientist. In 2017, he was recognized as the one of the Top 10 AI Innovators in China. In 2020, he was elevated to an IEEE Fellow for his contributions to spatio-temporal data mining and urban computing.
Yu Zheng, Ouri Wolfson. Proceeding of the International Workshop on Urban Computing. UrbComp 2012.
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）
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)
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)
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]
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).
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)
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)
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)
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)
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)
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)
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
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)
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!
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)
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, 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)
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)
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).
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)
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)
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). 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)
Job Titles:
- Master Candidate @ Univeristy of Science and Techology, China
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)
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)
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)
Ye Liu, Ph.D. Student @ National University of Singapore, Singapore
Job Titles:
- Master Candidate @ Columbia University, USA
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)
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.
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)
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.
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)