Can Rong

According to our database, Can Rong authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Can Rong, Jingtao Ding, Yong Li

ACM Comput. Surv., January, 2025

2024

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

Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li

ACM Comput. Surv., December, 2024

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

Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li

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

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

Can Rong, Jingtao Ding, Yan Liu, Yong Li

CoRR, 2024

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

Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li

CoRR, 2024

2023

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

Can Rong, Jie Feng, Jingtao Ding

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

Inferring Origin-Destination Flows From Population Distribution.

Can Rong, Tong Li, Jie Feng, Yong Li

IEEE Trans. Knowl. Data Eng., 2023

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

Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li

CoRR, 2023

Origin-Destination Network Generation via Gravity-Guided GAN.

Can Rong, Huandong Wang, Yong Li

CoRR, 2023

2022

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

Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin

ACM Trans. Knowl. Discov. Data, 2022

Causal Learning Empowered OD Prediction for Urban Planning.

Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li

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

2020

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

Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li

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).

Jianing Yang, Xiangsheng Huang, Zonghan Li, Can Rong, Daowei Liu

计算机科学, 2019

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

Can Rong, Jie Feng, Yong Li

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