Deep learning models for population flow generation from aggregated mobility data. - Can Rong; Jie Feng 002; Yong Li 008 (UbiComp/ISWC Adjunct, 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)

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. - Jie Feng 002; Can Rong; Funing Sun; Diansheng Guo; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Causal Learning Empowered OD Prediction for Urban Planning. - Jinwei Zeng; Guozhen Zhang; Can Rong; Jingtao Ding; Jian Yuan; Yong Li 008 (CIKM, 2022)

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. - Jie Feng 002; Yong Li 008; Ziqian Lin; Can Rong; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2022)

Origin-Destination Network Generation via Gravity-Guided GAN. - Can Rong; Huandong Wang; Yong Li 008 (CoRR, 2023)

Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. - Can Rong; Jingtao Ding; Zhicheng Liu; Yong Li 008 (CoRR, 2023)

Inferring Origin-Destination Flows From Population Distribution. - Can Rong; Tong Li 013; Jie Feng 002; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2023)

GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. - Can Rong; Jie Feng 002; Jingtao Ding (IEEE Trans. Knowl. Data Eng., 2023)

MOSS: A Large-scale Open Microscopic Traffic Simulation System. - Jun Zhang 087; Wenxuan Ao; Junbo Yan; Can Rong; Depeng Jin; Wei Wu 021; Yong Li 008 (CoRR, 2024)

A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. - Can Rong; Jingtao Ding; Yan Liu 002; Yong Li 008 (CoRR, 2024)

Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. - Can Rong; Zhicheng Liu; Jingtao Ding; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2024)

Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. - Huandong Wang; Huan Yan; Can Rong; Yuan Yuan 032; Fenyu Jiang; Zhenyu Han; Hongjie Sui; Depeng Jin; Yong Li 008 (ACM Comput. Surv., 2024)

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. - Can Rong; Jingtao Ding; Yan Liu 002; Yong Li 008 (ICLR, 2025)

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. - En Xu; Can Rong; Jingtao Ding; Yong Li 008 (CoRR, 2025)

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion. - Qingyue Long; Can Rong; Huandong Wang; Yong Li 008 (CoRR, 2025)

An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. - Can Rong; Jingtao Ding; Yong Li 008 (ACM Comput. Surv., 2025)

DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model. - Qingyue Long; Can Rong; Huandong Wang; Shaw Rajib; Yong Li 008 (CoRR, 2025)

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities. - Can Rong; Xin Zhang 106; Yanxin Xi; Hongjie Sui; Jingtao Ding; Yong Li 008 (CoRR, 2025)

A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development. - Can Rong; Jingtao Ding; Meng Liu 006; Yong Li 008 (CoRR, 2025)