Jinmeng Rao

Orcid: 0000-0003-2370-5129

According to our database1, Jinmeng Rao authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues.
CoRR, 2024

Best Practices and Lessons Learned on Synthetic Data for Language Models.
CoRR, 2024

Higher Layers Need More LoRA Experts.
CoRR, 2024

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Tackling Vision Language Tasks through Learning Inner Monologues.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches.
Int. J. Geogr. Inf. Sci., December, 2023

Choosing GIS graduate programs from afar: Chinese students' perspectives.
Trans. GIS, April, 2023

Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond.
CoRR, 2023

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.
CoRR, 2023

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models.
CoRR, 2023

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models.
CoRR, 2023

LOWA: Localize Objects in the Wild with Attributes.
CoRR, 2023

An Interactive Knowledge and Learning Environment in Smart Foodsheds.
IEEE Computer Graphics and Applications, 2023

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper).
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

2022
Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity.
Int. J. Geogr. Inf. Sci., 2022

Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network.
CoRR, 2022

2021
A privacy-preserving framework for location recommendation using decentralized collaborative machine learning.
Trans. GIS, 2021

Spatiotemporal Contrastive Representation Learning for Building Damage Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection.
Proceedings of the 11th International Conference on Geographic Information Science, 2021

VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

2020
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China.
Comput. Environ. Urban Syst., 2020

Mapping county-level mobility pattern changes in the United States in response to COVID-19.
ACM SIGSPATIAL Special, 2020

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic.
CoRR, 2020

Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic.
CoRR, 2020

2019
Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users.
J. Spatial Inf. Sci., 2019

2017
A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization.
Sensors, 2017


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