Brief Bio

Xiuwen Yi (易修文) is a Professor at the School of Computing and Artificial Intelligence, Southwest Jiaotong University. His research interests include Urban Computing, Data Mining, and Spatio-Temporal AI, with a focus on developing data-driven methods to understand urban dynamics and support intelligent decision-making. Previously, he was a data scientist at JD, a postdoctoral researcher at Tsinghua University, and a visiting scholar at Penn State University. He has published over 40 papers in leading international conferences and journals, including KDD and IEEE TKDE, with over 5,000 citations. He has led over 10 research projects and serves as a Subject Editor for IET Smart Cities and an Area Editor for the International Journal of Computational Intelligence Systems. He was selected for the Beijing Nova Program (2021) and the CAST Young Engineer Program (2025).

xiuwenyi at swjtu.edu.cn xiuwenyi at foxmail.com

Education

Ph.D. in Computer Science and Technology, Southwest Jiaotong University, 2013 – 2018

Supervised by Prof. Tianrui Li & Prof. Yu Zheng

B.S. in Software Engineering, Southwest Jiaotong University, 2009 – 2013

Mao Yisheng Honors Class

Work Experiences

  • Professor , Southwest Jiaotong University, 2026 - Present
  • Data Scientist, JD Intelligent Cities Research, 2021 - 2026
  • Postdoctoral Researcher, JD & Tsinghua University, 2019 - 2020, advised by Prof. Yu Zheng & Prof. Jie Tang
  • Visiting Scholar, Pennsylvania State University, 2017 - 2018, advised by Prof. Zhenhui Li
  • Research Intern, Urban Computing Group @ Microsoft Research Asia, 2014 – 2017
  • Development Intern, Operation Excellence Group @ Intel, 2012 – 2013
  • Research Publications

    Deployed Systems

    UrbanAir

  • Filling missing values of geo-sensory time series data
  • Inferring fine-grained air quality of arbitrary location
  • Forecasting station-level and city-level air quality over the next 7 days
  • Study the correlation between vehicular emissions and air pollutions
  • CityTraffic

  • Inferring city-wide traffic speed and volume conditions over the whole road network
  • Quantifying the Impact of Vehicle Exhaust Emissions on Air Pollution
  • Managing massive trajectories on the cloud (Azure)
  • Predicting citywide crowd flow for both regular and irregular regions
  • GasTheft

  • Detecting gas-theft suspects with gas consumption and transition data
  • Developing complementary evidence fusion methods for anomaly detection
  • Predicting daily/monthly gas usage of different end-users
  • Diagnosing fault errors of gas regulator for predictive maintenance
  • SmartHeat

  • Predicting indoor temperature for constructing data-driven environmental simulator
  • Transferring indoor temperature prediction models to new residential communities
  • Optimizing temperature in heat exchange station for improving indoor comfort
  • Scheduling Building HVAC Using Deep Reinforcement Learning
  • ScenicBrain

  • Integrated 21 operational systems to build a big data platform for scenic area management
  • Developed multidimensional indicators for monitoring and situational awareness
  • Enabled event monitoring, decision-making, and response through a interactive system
  • Developed crowd monitoring, forecasting, and evacuation support for tourist attractions
  • EventCommand

  • Intelligent routing and assignment of reported incidents
  • Duplicate incident detection and deduplication
  • Hotspot event discovery and analysis
  • Detection of professional complaint and reporting patterns in hotline work orders
  • Academic Services

    Journal Editor

  • IET Smart Cities, 2020-2025: Associate Editor; 2025-Present: Subject Editor
  • International Journal of Computational Intelligence Systems, 2025-Present: Area Editor
  • Journal Reviewer

  • IEEE TKDE、ACM TIST、IEEE TKDD、IEEE TBD、Information Fusion
  • Program Committee Member

  • KDD、CIKM、ICDM、SDM、WWW、IJCAI、AAAI、IEEE BigData
  • Honors & Awards

  • CAST Young Engineer Program, 2025
  • “Data Elements ×” Competition (Beijing Division), First Prize, 2025
  • CCF Science and Technology Award (Natural Science), Third Prize, 2024
  • Beijing Nova Program, 2021
  • Excellent Doctoral Dissertation Award of ACM Chengdu, 2020
  • Excellent Doctoral Dissertation Award of SWJTU, 2019
  • Outstanding Research Paper Award of SCF, 2018
  • China Scholarship Council Scholarships, 2017
  • National Scholarship, 2016
  • Doctoral Outstanding Innovative Talents of SWJTU, 2015