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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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portfolio
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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:
Explained a service-centric, proactive mobility framework for next-generation networks; highlighted caching and naming strategies.
Optimising New Metro Station Locations in Colombia
Published:
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:
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:
Mistral Forecast is a production-ready generative transformer tailored for multi-domain time-series forecasting (retail, electricity, finance, IoT).
Milan: Multimodal AI Healthcare Assistant
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Prototype of Milan, a voice–text–vision assistant that delivers personalised health guidance.
Fine-Grained Urban-Grid Clustering of Mobile-Phone Metadata
Published:
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:
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:
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
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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:
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:
Poster outlining Voronoi-aware queueing model that won 1st place at ACM SIGSPATIAL GIS Cup 2024.
teaching
Algorithmique et Programmation (C)
Licence 3 | Intervenant, Polytech Sorbonne, Sorbonne Université, 2022
Lectured and ran lab sessions covering C fundamentals, pointers, data structures, and complexity analysis.
Designed weekly programming exercises and supervised the final practical exam.
Architecture des ordinateurs (EPU-F5-IAR)
Licence 3 | Intervenant, Polytech Sorbonne, Sorbonne Université, 2023
Gave lectures & labs on processor design, cache coherence; supervised 2 exams.
Programmation Objet JAVA (EPU-E7-IJV)
Master 1 | Responsable pédagogique, Polytech Sorbonne, Sorbonne Université, 2023
Led course, created 11 assessments; projects on design patterns & network programming.
Mise à niveau (EPU-F5-DAN)
Licence 1 | Intervenant, Polytech Sorbonne, Sorbonne Université, 2023
Bridging course covering maths & programming basics; designed 1 diagnostic test.
Outils pour l’informatique (EPU-F5-IOP)
Licence 1 | Intervenant, Polytech Sorbonne, Sorbonne Université, 2023
Introduced Git, LaTeX, and shell scripting; supervised 1 practical exam.
Algorithmique et Programmation (C) (IN101)
Pré-ingénieur | Intervenant, ENSTA Paris, 2023
Tutorial sessions & project mentoring on C language fundamentals; linked syllabus:
https://synapses.ensta-paris.fr/catalogue/2023-2024/ue/14/IN101-algorithmique-et-programmation
Deep Reinforcement Learning
Master | Lecturer, ESIEE Paris, 2024
Lectures & labs on RL theory, DQN, PPO; capstone projects using PyTorch & OpenAI Gym.
Architecture des ordinateurs (EPU-F5-IAR)
Licence 3 | Intervenant, Polytech Sorbonne, Sorbonne Université, 2024
Intervention (lecturer) in computer architecture: CPU pipeline, memory hierarchy, assembly basics.
2 practical exams supervised.
Informatique Générale (EPU-N5-IGE)
Licence 1 | Chargé d’enseignement, Polytech Sorbonne, Sorbonne Université, 2024
Introductory computing course covering algorithms, data representation, and Unix tools.
3 graded lab sessions designed and graded.
Programmation Objet JAVA (EPU-E7-IJV)
Licence 3 | Responsable pédagogique, Polytech Sorbonne, Sorbonne Université, 2024
Course coordinator: syllabus design, lectures & exams. Topics: OOP principles, GUI, multithreading, JavaFX projects.
