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Predicting human mobility is crucial for urban planning, traffic control, and emergency response.
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Attentional Markov model for human mobility prediction
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Self-supervised human mobility learning for next location prediction and trajectory classification
Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. 2021a · 2021
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Urban flow prediction with spatial–temporal neural ODEs
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Diffusion-based time series imputation and forecasting with structured state space models
Juan Miguel Lopez Alcaraz and Nils Strodthoff. 2022 · 2022
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Modeling temporal data as continuous functions with process diffusion
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Enhancing crowd flow prediction in various spatial and temporal granularities. In Companion Proceedings of the Web Conference 2022 . 1251–1259
Marco Cardia, Massimiliano Luca, and Luca Pappalardo. 2022 · 2022
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Generative time series forecasting with diffusion, denoise, and disentanglement
Yan Li, Xinjiang Lu, Yaqing Wang, and Dejing Dou. 2022 · 2022
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Msdr: Multi-step dependency relation networks for spatial temporal forecasting. In Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining . 1042–1050
Dachuan Liu, Jin Wang, Shuo Shang, and Peng Han. 2022 · 2022
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Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang. 2023 · 2023
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Next POI recommendation with dynamic graph and explicit dependency. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 4827–4834
Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, and Peng Han. 2023 · 2023
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Learning to simulate daily activities via modeling dynamic human needs. In Proceedings of the ACM Web Conference 2023 . 906–916
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, and Yong Li. 2023b · 2023
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Spatial planning of urban communities via deep reinforcement learning
Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, and Yong Li. 2023a · 2023
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Towards generative modeling of urban flow through knowledge-enhanced denoising diffusion. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems . 1–12
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, and Yong Li. 2023 · 2023
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Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility
Sebastiano Bontorin, Simone Centellegher, Riccardo Gallotti, Luca Pappalardo, Bruno Lepri, and Massimiliano Luca. 2024 · 2024
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Simulating human mobility with a trajectory generation framework based on diffusion model
Chen Chu, Hengcai Zhang, Peixiao Wang, and Feng Lu. 2024 · 2024
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TrajAgent: An Agent Framework for Unified Trajectory Modelling
Yuwei Du, Jie Feng, Jie Zhao, and Yong Li. 2024 · 2024
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AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
Jie Feng, Yuwei Du, Jie Zhao, and Yong Li. 2024 · 2024
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Sora: A review on background, technology, limitations, and opportunities of large vision models
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, et al · 2024
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Privacy-preserving federated mobility prediction with compound data and model perturbation mechanism
Long Qingyue, Wang Huandong, Chen Huiming, Jin Depeng, Zhu Lin, Yu Li, and Li Yong. 2024 · 2024
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Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information
Can Rong, Zhicheng Liu, Jingtao Ding, and Yong Li. 2024 · 2024
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Beyond imitation: Generating human mobility from context-aware reasoning with large language models
Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, and Yong Li. 2024 · 2024
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Generating Daily Activities with Need Dynamics
Yuan Yuan, Jingtao Ding, Huandong Wang, and Depeng Jin. 2024b · 2024
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CityLight: A Universal Model Towards Real-world City-scale Traffic Signal Control Coordination
Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Jian Yuan, Yong Li, Yu Wang, and Huazhong Yang. 2024 · 2024
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Controltraj: Controllable trajectory generation with topology-constrained diffusion model
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, and Yuxuan Liang. 2024 · 2024
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