Can Rong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Moving Objects Databases

Object Trajectories

Laplace Transform

Top Venues

ACM Trans. Knowl. Discov. Data

IEEE Trans. Knowl. Data Eng.

UbiComp/ISWC Adjunct

Publications

Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR (2024)
Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Can Rong, Jingtao Ding, Yan Liu, Yong Li
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR (2024)
Can Rong, Huandong Wang, Yong Li
Origin-Destination Network Generation via Gravity-Guided GAN. CoRR (2023)
Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. CoRR (2023)
Can Rong, Jie Feng, Jingtao Ding
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR (2023)
Can Rong, Tong Li, Jie Feng, Yong Li
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Can Rong, Jingtao Ding, Yong Li
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR (2023)
Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li
Causal Learning Empowered OD Prediction for Urban Planning. CIKM (2022)
Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Jianing Yang, Xiangsheng Huang, Zonghan Li, Can Rong, Daowei Liu
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). 计算机科学 46 (11A) (2019)
Can Rong, Jie Feng, Yong Li
Deep learning models for population flow generation from aggregated mobility data. UbiComp/ISWC Adjunct (2019)