Jie Feng
Scholar

Jie Feng

Google Scholar ID: uvLx-GAAAAAJ
Tsinghua University
Spatial IntelligenceLLMAgentsHuman MobilityData Mining
Citations & Impact
All-time
Citations
4,047
 
H-index
27
 
i10-index
38
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers, including CityGPT-KDD2025, CityBench-KDD2025, UrbanLLaVA-ICCV2025, Hallucination-EMNLP2025, AgentMove-NAACL2025, TrajAgent-NeurIPS2025, PIGEON-ACL2025, AutoQual-EMNLP2025, DeepMove-WWW2018, MoveSim-KDD2020, DeepSTN+-AAAI2019, UniST-KDD2024, SCDN-KDD2024, etc. Some papers have been accepted by conferences such as EMNLP 2025 Industry Track, NeurIPS 2025, SIGSPATIAL 2025, KDD 2025, ACL 2025. Additionally, selected as an Excellent Reviewer for KDD 2025 and recognized as a 2025 Spatial Data Intelligence Rising Star and 2024 Stanford/Elsevier Top 2% Scientist.
Research Experience
  • Worked as a researcher at Meituan from 2021 to 2023, specializing in intelligent decision-making and large language models.
Education
  • Received B.S. and Ph.D. degrees in electronic engineering from Tsinghua University in 2016 and 2021, respectively, under the supervision of Prof. Yong Li.
Background
  • Currently a postdoctoral fellow in the Department of Electronic Engineering at Tsinghua University. Research interests include spatial intelligence, multi-modal large language models, human behavior modeling, urban science, and spatiotemporal data mining. Over 40 papers have been published in top-tier venues such as KDD, ICCV, ACL, WWW, EMNLP, NAACL, AAAI, UbiComp, TKDE, with more than 4000 citations on Google Scholar.
Miscellany
  • Actively seeking a faculty position. Has in-depth research in areas like spatial intelligence, multi-modal large language models, human behavior modeling, and urban science.