Jinmeng Rao

| 1600 Amphitheatre Parkway, Mountain View, CA 94043


I am a research scientist at Mineral, Alphabet Inc. I was a research scientist and AI resident at Google [X]. I got my PhD in Geographic Information Systems (GIS) and my MS in Computer Sciences (CS) from University of Wisconsin-Madison, working with Prof. Song Gao in the Geospatial Data Science Lab. Before that, I got my BS and MS in GIS from Wuhan University, working with Prof. Qingyun Du and Prof. Shiliang Su.

I work on machine learning, deep learning, geospatial data science, and computational agriculture. In particular, I am interested in developing and incorporating AI approaches into geospatial domains to tackle real-world challenges such as trajectory prediction and generation, location recommendation, spatial data privacy and security, food systems, etc.

Recent News  [ more... ]

Oct 2023 Our multiple papers are accepted for NeurIPS 2023 workshops as posters.
Oct 2023 Our work on multimodal LLM hallucination is accepted for Google Research Conference 2023.
Oct 2023 I served as the PC member of the SoLaR workshop at NeurIPS 2023.
Oct 2023 Our arXiv preprint on spatial-spectral super-resolution is online.
Sep 2023 Our full research paper on conditional trajectory generation is accepted for IJGIS.
Sep 2023 Our paper on private&secure GeoAI foundation models is accepted for ACM SIGSPATIAL 2023.
Sep 2023 Our arXiv preprint on agnosia of multimodal large language models is online.
Sep 2023 I served as the PC member of the GeoAI workshop at ACM SIGSPATIAL 2023.
Aug 2023 Our arXiv preprint on vision language reasoning is online and will be presented at BayLearn 2023.
May 2023 Our arXiv preprint on open-vocabulary attribute recognition is online.
May 2023 I served as the co-chair of the GeoIndustry workshop at ACM SIGSPATIAL 2023.
Apr 2023 Our full research paper on smart foodsheds is accepted for IEEE CG&A.

Selected Publications  [ more... ]


  1. psgeoai.png
    Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models
    Jinmeng Rao, Song Gao, Gengchen Mai, and Krzysztof Janowicz
    In Proceedings of the 31st International Conference on Advances in Geographic Information Systems, 2023
    Highlight: Top Conference in Geographic Information Systems; Acceptance rate 37.2%
  2. cats_framework.jpg
    CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches
    Jinmeng Rao, Song Gao, and Sijia Zhu
    International Journal of Geographical Information Science, 2023
    Highlight: Top Journal in Geographic Information Science; SCI Q1 in CS, IS and Geography; Acceptance rate 12%
  3. emma.png
    Google Research Conference
    Evaluation and Mitigation of Agnosia in Multimodal Large Language Models
    Jinmeng Rao*, Jiaying Lu*, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, and Jie Yang
    arXiv preprint arXiv:2309.04041, 2023
    Highlight: Trustworthy Multimodal Foundation Models; Multimodal Instruction Tuning; The poster version to be presented at Google Research Conference 2023
  4. immo.png
    NeurIPS SoLaR
    Tackling Vision Language Tasks Through Learning Inner Monologues
    Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, and Yi Zhang
    arXiv preprint arXiv:2308.09970, 2023
    Highlight: Multi-Agent Collaboration. To be presented at NeurIPS SoLaR workshop. The poster version was presented at BayLearn 2023


  1. geokg.png
    Measuring network resilience via geospatial knowledge graph: a case study of the us multi-commodity flow network
    Jinmeng Rao, Song Gao, Michelle Miller, and Alfonso Morales
    In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs, 2022
    Highlight: Food System; Network Resilience; Geospatial Knowledge Graphs


  1. stcl.png
    Spatiotemporal contrastive representation learning for building damage classification
    Bo Peng, Qunying Huang, and Jinmeng Rao
    In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
    Highlight: Spatiotemporal Contrastive Representation Learning; Acceptance rate 34.2%
  2. vtsv.gif
    VTSV: A privacy-preserving vehicle trajectory simulation and visualization platform using deep reinforcement learning
    Jinmeng Rao, Song Gao, and Xiaojin Zhu
    In Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021
    Highlight: Deep Reinforcement Learning; Personalized Driving Simulation [ Video Demo ]
  3. fllocrec.jpg
    A privacy-preserving framework for location recommendation using decentralized collaborative machine learning
    Jinmeng Rao, Song Gao, Mingxiao Li, and Qunying Huang
    Transactions in GIS, 2021
    Highlight: Flagship Journal in Geographic Information Systems; Recognized as the first work on Federated Learning + Spatial Data Sciences (Graser, A. et al 2022)


  1. trajgan.png
    LSTM-TrajGAN: A deep learning approach to trajectory privacy protection
    Jinmeng Rao, Song Gao, Yuhao Kang, and Qunying Huang
    In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I, 2020
    Highlight: Top Conference in Geographic Information Sciences; Acceptance rate 34%
  2. mobmap.gif
    Mapping county-level mobility pattern changes in the United States in response to COVID-19
    Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, and Jake Kruse
    SIGSpatial Special, 2020
    Highlight: The first work on social distancing mapping during COVID-19; Media Coverage NBC, FOX, ABC

Invited Talks  [ more... ]

2023 Privacy and Security Issues in Large-Language-Model-powered Geospatial Applications. Applications of ChatGPT / AI at Geography According to ChatGPT, University of California, Santa Barbara [ link ]
2023 Mapping Mobility Changes During COVID-19 Using ArcGIS Dashboards and Mobile Experience Builder, Esri Education Sessions and Activities at AAG 2023 [ link ]
2023 Privacy-Preserving Location Recommendation via Decentralized Collaborative Learning. Texas A&M Built Environment Talk Series [ link ]
2023 Deep Reinforcement Learning for Driving Trajectory Simulation. Reinforcement Learning Seminar, Anhui University
2023 Geographic Visualization and ArcGIS Dashboards, Geovisualization and Spatial Analysis Seminar, University of Arkansas
2022 Trajectory Privacy Protection with Geospatial Artificial Intelligence, UW Roundtable on the Frontiers of Geospatial Artificial Intelligence, University of Washington [ link ]

Recent Services  [ more... ]

Program Organizers

2023 PC Member, NeurIPS 2023 Workshop on Socially Responsible Language Modelling Research (SoLaR 2023)
2023 PC Member, ACM SIGSPATIAL 2023 International Workshop on on AI for Geographic Knowledge Discovery (GeoAI 2023)
2023 Chair, ACM SIGSPATIAL 2023 International Workshop on Spatial Big Data and AI for Industrial Applications (GeoIndustry 2023)
2023 Organizer, AAG 2023 GeoAI and Deep Learning Symposium: Geoprivacy and Ethics in Geospatial Data and GeoAI
2022 Chair, AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: GeoAI for Social Sensing


  • ACM Transactions on Spatial Algorithms and Systems
  • Annals of GIS
  • Applied Computing and Geosciences
  • Applied Sciences
  • BMC Public Health
  • Computers & Geosciences
  • Data & Policy
  • Earth Science Informatics
  • Habitat International
  • International Conference on Geoinformatics
  • International Journal of Data Science and Analytics
  • International Journal of Geographical Information Science
  • International Journal of Health Geographics
  • ISPRS International Journal of Geo-Information
  • Journal of Computational Social Science
  • Journal of Geovisualization and Spatial Analysis
  • Journal of Maps
  • Land Use Policy
  • NeurIPS Workshops
  • Scientific Reports
  • Spatial and Spatio-temporal Epidemiology
  • Stochastic Environmental Research and Risk Assessment
  • Transactions in GIS

Professional Appointments

2022 - 2023 Committee Member, Career Development Committee, Chinese Professionals in Geographic Information Sciences (CPGIS)
2022 - 2023 Committee Member, Media Committee, Chinese Professionals in Geographic Information Sciences (CPGIS)
2019 - 2023 Co-Founder and Director, GISphere, a non-profit org promoting GIS-related education
2021 - 2022 Student Director, American Association of Geographers Geographic Information Science and Systems Specialty Group (AAG-GISS)
2021 - 2022 Committee Member, Graduate Study Committee, Department of Geography, University of Wisconsin-Madison
2020 - 2021 Committee Member, Curriculum Committee, Department of Geography, University of Wisconsin-Madison
2017 - 2018 Network Center Assistant, School of Resource and Environmental Sciences, Wuhan University

Recent Awards  [ more... ]

2023 Peer Bonus / Spot Bonus, Google [X] / Mineral, Alphabet Inc.
2022 The SRGC Conference Presentation Award, University of Wisconsin-Madison
2022 Trewartha/Odebolt Conference Travel Award, University of Wisconsin-Madison
2019 Best Poster Paper, ACM SIGSPATIAL RAAS Workshop
2019 Welcome Award, Graduate School, University of Wisconsin-Madison
2018 Outstanding Graduate Student, Wuhan University
2018 Silver Award, China “Internet+” Innovation and Entrepreneurship Competition Hubei Final
2017 The 1st Prize, Wuhan University “Internet+” Innovation and Entrepreneurship Competition
2017 National Scholarship, Ministry of Education, China
2015 National Scholarship, Ministry of Education, China