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@FIBLAB @tsinghua-fib-lab

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vonfeng/README.md

Hi there 👋

I am Jie Feng, currently a postdoctoral researcher in the Department of Electronics Engineering at Tsinghua University, working in FIB Lab.

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  • 🔭 I’m currently focused on LLMs, VLMs, and their applications in spatiotemporal data mining and urban science.
  • 🌱 You can find my full publication via Google Scholar. Some of my proudest recent works:
    • CityGPT: empowering urban spatial cognition of large language models.
    • CityBench: the first systematic benchmark for evaluating the capabilities of LLMs and VLMs for diverse urban tasks.
    • AgentMove: the first agentic framwork for zero-shot mobility prediction.
  • 👯 I’m looking for collaboration opportunities
    • Topics: Spatiotemporal data mining, large language models, embodied agent, etc.
    • Location: Remote or on-site at Tsinghua University
  • 💬 Feel free to drop me an email for:
    • Any form of collaboration
    • Any issue about my works or code
    • Interesting ideas to discuss or just chatting

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  1. DeepMove DeepMove Public

    Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

    Python 143 55

  2. FIBLAB/DeepSTN FIBLAB/DeepSTN Public

    Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

    Python 65 23

  3. FIBLAB/MoveSim FIBLAB/MoveSim Public

    Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

    Python 45 7

  4. tsinghua-fib-lab/CityBench tsinghua-fib-lab/CityBench Public

    CityBench: Evaluating the Capabilities of Large Language Model as World Model

    Python 13 2

  5. tsinghua-fib-lab/AgentMove tsinghua-fib-lab/AgentMove Public

    AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework

    8

  6. tsinghua-fib-lab/CityGPT tsinghua-fib-lab/CityGPT Public

    CityGPT: Empowering Urban Spatial Cognition of Large Language Models

    3