Can Rong

24 papers A* 1A 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History.
IEEE Trans. Knowl. Data Eng.
En Xu, Can Rong, Jingtao Ding, Yong Li
2025 J jnl
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History.
CoRR
En Xu, Can Rong, Jingtao Ding, Yong Li
2025 J jnl
A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development.
CoRR
Can Rong, Jingtao Ding, Meng Liu, Yong Li
2025 A* conf
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation.
ICLR
Can Rong, Jingtao Ding, Yan Liu, Yong Li
2025 J jnl
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques.
ACM Comput. Surv.
Can Rong, Jingtao Ding, Yong Li
2025 J jnl
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model.
CoRR
Qingyue Long, Can Rong, Huandong Wang, Shaw Rajib, Yong Li
2025 J jnl
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model.
CoRR
Qingyue Long, Can Rong, Tong Li, Yong Li
2025 J jnl
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion.
CoRR
Qingyue Long, Can Rong, Huandong Wang, Yong Li
2025 J jnl
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities.
CoRR
Can Rong, Xin Zhang, Yanxin Xi, Hongjie Sui, Jingtao Ding, Yong Li
2024 J jnl
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation.
CoRR
Can Rong, Jingtao Ding, Yan Liu, Yong Li
2024 J jnl
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information.
ACM Trans. Knowl. Discov. Data
Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li
2024 J jnl
MOSS: A Large-scale Open Microscopic Traffic Simulation System.
CoRR
Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li
2024 J jnl
Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data.
ACM Comput. Surv.
Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li
2023 J jnl
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques.
CoRR
Can Rong, Jingtao Ding, Yong Li
2023 J jnl
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model.
CoRR
Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li
2023 J jnl
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.
IEEE Trans. Knowl. Data Eng.
Can Rong, Jie Feng, Jingtao Ding
2023 J jnl
Inferring Origin-Destination Flows From Population Distribution.
IEEE Trans. Knowl. Data Eng.
Can Rong, Tong Li, Jie Feng, Yong Li
2023 J jnl
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data.
CoRR
Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li
2023 J jnl
Origin-Destination Network Generation via Gravity-Guided GAN.
CoRR
Can Rong, Huandong Wang, Yong Li
2022 A conf
Causal Learning Empowered OD Prediction for Urban Planning.
CIKM
Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li
2022 J jnl
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.
ACM Trans. Knowl. Discov. Data
Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
2020 J jnl
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
2019 — conf
Deep learning models for population flow generation from aggregated mobility data.
UbiComp/ISWC Adjunct
Can Rong, Jie Feng, Yong Li
2019 J jnl
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
Jianing Yang, Xiangsheng Huang, Zonghan Li, Can Rong, Daowei Liu