Scholar
Xiuwen Yi（易修文）
Google Scholar ID: FfzTDSQAAAAJ
JD Intelligent Cities Research | JD Technology
Citations & Impact
Citations
3,597
H-index
17
i10-index
20
Publications
20
Co-authors
4
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier venues including KDD, CIKM, DASFAA, IEEE TKDE, IEEE TBD, and HCIN
- Notable publications include: 'Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction' (KDD 2024)
- 'Neural clustering and ranking approach for gas-theft suspect detection' (HCIN 2023)
- 'Multi-Memory enhanced Separation Network for Indoor Temperature Prediction' (DASFAA 2022)
- 'Gas-Theft Suspect Detection among Boiler Room Users: A Data-Driven Approach' (IEEE TKDE 2021)
- 'You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users' (CIKM 2020)
- 'Predicting Fine-Grained Air Quality Based on Deep Neural Networks' (IEEE TBD 2020)
- 'CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach' (CIKM 2020)
- Selected into the Beijing Nova Program in 2021
Research Experience
- Data Scientist, JD Intelligent Cities Research, 2021–Present
- Postdoctoral Researcher, JD & Tsinghua University, 2019–2020; Advised by Prof. Yu Zheng and 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
Background
- Currently a Data Scientist at JD Intelligent Cities Research
- Research interests include Spatio-Temporal Data Intelligence, Deep Learning, and Urban Computing
- Published 30+ peer-reviewed papers at prestigious international conferences and journals with 3,500+ citations
- Experienced in building real-world AI applications, including UrbanAir, CityTraffic, GasTheft, SmartHeat, EventCommand, ScenicBrain, and EpidemicShield
- Selected into the Beijing Nova Program (2021)
