World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
48344
World Ranking
567
National Ranking
78

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2016 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Yu Zheng is affiliated with Jingdong in China and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Building and Construction, Signal Processing, and Transportation.

The primary topics of Yu Zheng's work include:

  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Anomaly Detection Techniques and Applications
  • Data Management and Algorithms
  • Time Series Analysis and Forecasting
  • Transportation Planning and Optimization
  • Data-Driven Disease Surveillance

Recent publications by Yu Zheng cover advances in urban computing, traffic forecasting, and environmental prediction. Significant papers include:

  • "Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey" (2023), published in IEEE Transactions on Knowledge and Data Engineering
  • "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Spatio-Temporal Meta Learning for Urban Traffic Prediction" (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • "Federated Forest" (2020), published in IEEE Transactions on Big Data
  • "AirFormer: Predicting Nationwide Air Quality in China with Transformers" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Yu Zheng include Junbo Zhang, Yuxuan Liang, Ruiyuan Li, Jie Bao, and Tianrui Li. These collaborations reflect a network of researchers working extensively in related areas of data science and urban computing.

Yu Zheng's work is frequently published in venues such as:

  • IEEE Transactions on Knowledge and Data Engineering
  • arXiv (Cornell University)
  • IEEE Transactions on Big Data
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Visualization and Computer Graphics

The scientist has been recognized by professional organizations, receiving distinctions including the ACM Senior Member status in 2011 and ACM Distinguished Member status in 2016.

Best Publications

  • Mining interesting locations and travel sequences from GPS trajectories

    Yu Zheng;Lizhu Zhang;Xing Xie;Wei-Ying Ma

  • Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

    Junbo Zhang;Yu Zheng;Dekang Qi

  • Trajectory Data Mining: An Overview

    Yu Zheng

  • Urban Computing: Concepts, Methodologies, and Applications

    Yu Zheng;Licia Capra;Ouri Wolfson;Hai Yang

  • GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.

    Yu Zheng;Xing Xie;Wei-Ying Ma

  • Understanding mobility based on GPS data

    Yu Zheng;Quannan Li;Yukun Chen;Xing Xie

  • T-drive: driving directions based on taxi trajectories

    Jing Yuan;Yu Zheng;Chengyang Zhang;Wenlei Xie

  • Discovering regions of different functions in a city using human mobility and POIs

    Jing Yuan;Yu Zheng;Xing Xie

  • U-Air: when urban air quality inference meets big data

    Yu Zheng;Furui Liu;Hsun-Ping Hsieh

  • Map-matching for low-sampling-rate GPS trajectories

    Yin Lou;Chengyang Zhang;Yu Zheng;Xing Xie

  • Driving with knowledge from the physical world

    Jing Yuan;Yu Zheng;Xing Xie;Guangzhong Sun

  • Mining user similarity based on location history

    Quannan Li;Yu Zheng;Xing Xie;Yukun Chen

  • Location-based and preference-aware recommendation using sparse geo-social networking data

    Jie Bao;Yu Zheng;Mohamed F. Mokbel

  • Collaborative location and activity recommendations with GPS history data

    Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang

  • Learning transportation mode from raw gps data for geographic applications on the web

    Yu Zheng;Like Liu;Longhao Wang;Xing Xie

  • Computing with Spatial Trajectories

    Yu Zheng;Xiaofang Zhou

  • DNN-based prediction model for spatio-temporal data

    Junbo Zhang;Yu Zheng;Dekang Qi;Ruiyuan Li

  • Urban computing with taxicabs

    Yu Zheng;Yanchi Liu;Jing Yuan;Xing Xie

  • Recommending friends and locations based on individual location history

    Yu Zheng;Lizhu Zhang;Zhengxin Ma;Xing Xie

  • T-share: A large-scale dynamic taxi ridesharing service

    Shuo Ma;Yu Zheng;O. Wolfson

Frequent Co-Authors

Xing Xie
Xing Xie Microsoft Research Asia (China)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Tianrui Li
Tianrui Li Southwest Jiaotong University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Eric Chang
Eric Chang Microsoft (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Ouri Wolfson
Ouri Wolfson University of Illinois at Chicago
Wen-Chih Peng
Wen-Chih Peng National Yang Ming Chiao Tung University

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