Man Luo

Orcid: 0000-0002-7346-9024

Affiliations:
  • Alan Turing Institute, London, UK
  • University of Warwick, Department of Computer Science, Coventry, UK (PhD 2021)


According to our database1, Man Luo authored at least 18 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control.
Proceedings of the ACM Web Conference 2026, 2026

CityVerse: A Unified Data Framework for Evaluating Large Language Models in Urban Computing.
Proceedings of the ACM Web Conference 2026, 2026

TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility.
Proceedings of the ACM Web Conference 2026, 2026

2025
CityVerse: A Unified Data Platform for Multi-Task Urban Computing with Large Language Models.
CoRR, November, 2025

HiLight: A Hierarchical Reinforcement Learning Framework with Global Adversarial Guidance for Large-Scale Traffic Signal Control.
CoRR, June, 2025

Robust spatio-temporal demand prediction for bike-sharing systems with dynamic hierarchical structure.
CCF Trans. Pervasive Comput. Interact., June, 2025

BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

High-Fidelity Road Network Generation with Latent Diffusion Models.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation.
CoRR, 2024

TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model.
CoRR, 2024

2023
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023

2022
Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Deep spatio-temporal learning for dynamic urban shared mobility systems.
PhD thesis, 2021

2020
D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach.
CoRR, 2019

Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

HydraDoctor: real-time liquids intake monitoring by collaborative sensing.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019


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