We stand with Ukraine

We stand with Ukraine

Can Rong

Orcid: 0000-0002-5846-724X

According to our database¹, Can Rong authored at least 23 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

On csauthors.net:

Bibliography

2026

Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model.

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ACM Trans. Intell. Syst. Technol., June, 2026

SENSE: Satellite-based ENergy Synthesis for Sustainable Environment.

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CoRR, May, 2026

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History.

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IEEE Trans. Knowl. Data Eng., February, 2026

2025

Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model.

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CoRR, November, 2025

A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development.

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CoRR, May, 2025

DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model.

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CoRR, March, 2025

An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques.

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ACM Comput. Surv., January, 2025

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion.

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CoRR, January, 2025

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data.

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ACM Comput. Surv., December, 2024

Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information.

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ACM Trans. Knowl. Discov. Data, July, 2024

A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation.

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CoRR, 2024

MOSS: A Large-scale Open Microscopic Traffic Simulation System.

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CoRR, 2024

2023

GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.

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IEEE Trans. Knowl. Data Eng., October, 2023

Inferring Origin-Destination Flows From Population Distribution.

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IEEE Trans. Knowl. Data Eng., 2023

Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model.

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CoRR, 2023

Origin-Destination Network Generation via Gravity-Guided GAN.

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CoRR, 2023

2022

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.

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ACM Trans. Knowl. Discov. Data, 2022

Causal Learning Empowered OD Prediction for Urban Planning.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.

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Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2019

基于双层栈式长短期记忆的电网时空轨迹预测 (Spatio-temporal Trajectory Prediction of Power Grid Based on Double Layers Stacked Long Short-term Memory).

[DOI]

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Xiangsheng Huang

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计算机科学, 2019

Deep learning models for population flow generation from aggregated mobility data.

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Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

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