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publications

Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure

Published in ACM SIGSPATIAL 2024, 2024

Recommended citation: Chuan Li, Shunyu Zhao, Vincent Gauthier, Hassine Moungla. "Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure", ACM SIGSPATIAL 2024.
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Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data

Published in Nature Human Behaviour (under review), 2025

Recommended citation: Li C. *et al.* Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data. *Nat. Hum. Behav.* (under review).
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Distribution Shift for Spatio-Temporal Networks

Published in AAAI 2025 (ongoing), 2025

Recommended citation: Hu Z., Li C., Naima M., Gauthier V. Distribution Shift for Spatio-Temporal Networks. AAAI 2025 (in preparation).
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Nation-Scale Risk Mapping from Human Mobility Data Using Time-Decayed Line Graphs

Published in AAAI 2025 (ongoing), 2025

Recommended citation: Li C. *et al.* Nation-Scale Risk Mapping from Human Mobility Data Using Time-Decayed Line Graphs. AAAI 2025 (in preparation).
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On the Utility of Digital Contact Tracing on Empirical Contact Network

Published in NetMob 2025 (under review), 2025

Recommended citation: Li C. *et al.* On the Utility of Digital Contact Tracing on Empirical Contact Network. NetMob 2025 (under review).
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TDLG at Scale: Modeling Co-Location Events from Large-Scale Human Mobility Data

Published in NetMob 2025 (under review), 2025

Recommended citation: Li C. *et al.* TDLG at Scale: Modeling Co-Location Events from Large-Scale Human Mobility Data. NetMob 2025 (under review).
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Fusing Multi-Agent Systems for Real-Time Groundwater Early Warning

Published in AAAI 2025 (ongoing), 2025

Recommended citation: Li C. *et al.* Fusing Multi-Agent Systems for Real-Time Groundwater Early Warning. AAAI 2025 (in preparation).
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Fine-Grained Urban-Grid Clustering of Mobile-Phone Metadata with Deep Spatio-Temporal Clustering

Published in IEEE IJCNN 2025 (accepted), 2025

Recommended citation: Hu Z., Li C., Gauthier V., Moungla H. Fine-Grained Urban-Grid Clustering with Deep ST-Clustering. IEEE IJCNN 2025.
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An Applied ML Pipeline for Geospatial Groundwater-Level Classification Supporting Early Warning & Resource Planning

Published in ICML 2025 NewInML (accepted), 2025

Recommended citation: Li C., Yang R. An Applied ML Pipeline for Geospatial Groundwater-Level Classification. ICML 2025 (NewInML).
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Semi-Automatic Connection Recovery of 3D Tubular Structure Skeletons via MST and Filtered Delaunay

Published in IEEE BIBM 2025 (under review), 2025

Recommended citation: Yang R., Li C. Semi-Automatic Connection Recovery via MST & Filtered Delaunay Triangulation. IEEE BIBM 2025 (under review).
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DOVA-PATBM: An Adaptive & Scalable Framework for Optimising Large-Scale EV-Charging Infrastructure

Published in ACM SIGSPATIAL 2025 (under review), 2025

Recommended citation: Li C. *et al.* DOVA-PATBM: Adaptive, Scalable EV-Charging Optimisation. Proc. ACM SIGSPATIAL 2025 (under review).
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Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion: COVID-19 Mobility in Peru

Published in IEEE GLOBECOM 2025 (under review), 2025

Recommended citation: Li C. *et al.* Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion. IEEE GLOBECOM 2025 (under review).
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talks

Gestion proactive de la mobilité basée service dans les réseaux nouvelle génération

Published: October 15, 2022

Explained a service-centric, proactive mobility framework for next-generation networks; highlighted caching and naming strategies.

Optimising New Metro Station Locations in Colombia

Published: July 10, 2023

Presented a data-driven optimisation framework for siting future metro stations in Bogotá, combining accessibility metrics with network-flow modelling. Part of the Oxford Summer School lecture series on Economic Networks.

Data Analysis of Human Mobility during the Pandemic in Peru

Published: October 15, 2023

Poster showcasing large-scale CDR analysis to characterise mobility reduction and recovery patterns in Peru’s COVID-19 period.

Mistral Forecast: GPT-Style Transformer for Time-Series Prediction

Published: May 26, 2024

Mistral Forecast is a production-ready generative transformer tailored for multi-domain time-series forecasting (retail, electricity, finance, IoT).

Milan: Multimodal AI Healthcare Assistant

Published: October 12, 2024

Prototype of Milan, a voice–text–vision assistant that delivers personalised health guidance.

Fine-Grained Urban-Grid Clustering of Mobile-Phone Metadata

Published: October 15, 2024

Presented deep spatio-temporal clustering techniques for 100 m urban grids; preliminary results accepted at IEEE IJCNN 2025.

Predictive Risk Assessment for Railway Safety

Published: March 05, 2025

3rd-place winning presentation detailing a model that fuses incident logs, infrastructure data and real-time sensors to identify high-risk rail segments and prioritise maintenance.

Sarah’s Chronicles: AI-Driven Interactive Storytelling

Published: March 22, 2025

Two-day hackathon project that fuses Mistral AI, ElevenLabs and Hugging Face models to create an AI-narrated, user-interactive storytelling platform.

GLOOP: AI-Powered Closed-Loop Diabetes Management

Published: April 26, 2025

Team pitch of GLOOP: smart-glasses food recognition + RAG nutrition assistant seamlessly integrated with artificial-pancreas systems, enabling hands-free insulin adjustment.

Reducing Road-Traffic Noise while Improving Energy Efficiency

Published: June 30, 2025

Invited presentation on the 4EU+ “Strategic Road Noise & Energy Efficiency Challenge”. Showcased a sensor-agnostic Road-Traffic Noise Model (RTNM) and policy recommendations for optimized pavement surfaces and speed limits.

Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure

Published: October 15, 2025

Poster outlining Voronoi-aware queueing model that won 1st place at ACM SIGSPATIAL GIS Cup 2024.

Chuan Li, PhD Geospatial AI

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