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Can Rong
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2020 – today
- 2025
- [j8]Can Rong, Jingtao Ding, Yong Li:
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. ACM Comput. Surv. 57(1): 4:1-4:49 (2025) - 2024
- [j7]Huandong Wang
, Huan Yan
Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. ACM Comput. Surv. 56(12): 307:1-307:38 (2024) - [j6]Can Rong
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. ACM Trans. Knowl. Discov. Data 18(6): 150:1-150:17 (2024) - [i6]Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li:
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR abs/2405.12520 (2024) - [i5]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR abs/2407.15823 (2024) - 2023
- [j5]Can Rong, Tong Li
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35(1): 603-613 (2023) - [j4]Can Rong
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. 35(10): 10048-10057 (2023) - [i4]Can Rong, Huandong Wang, Yong Li:
Origin-Destination Network Generation via Gravity-Guided GAN. CoRR abs/2306.03390 (2023) - [i3]Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li:
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR abs/2306.04873 (2023) - [i2]Can Rong, Jingtao Ding, Yong Li:
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR abs/2306.10048 (2023) - [i1]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 abs/2306.10275 (2023) - 2022
- [j3]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): 49:1-49:21 (2022) - [c2]Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li:
Causal Learning Empowered OD Prediction for Urban Planning. CIKM 2022: 2455-2464 - 2020
- [j2]Jie Feng, Can Rong, Funing Sun, Diansheng Guo
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 10:1-10:21 (2020)
2010 – 2019
- 2019
- [j1]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): 23-27 (2019) - [c1]Can Rong, Jie Feng, Yong Li:
Deep learning models for population flow generation from aggregated mobility data. UbiComp/ISWC Adjunct 2019: 1008-1013
Coauthor Index
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