2025
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
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CoRR, January, 2025
2024
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data, April, 2024
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
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CoRR, 2024
OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents.
CoRR, 2024
TrajAgent: An Agent Framework for Unified Trajectory Modelling.
CoRR, 2024
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework.
CoRR, 2024
UrbanWorld: An Urban World Model for 3D City Generation.
CoRR, 2024
CityGPT: Empowering Urban Spatial Cognition of Large Language Models.
CoRR, 2024
CityBench: Evaluating the Capabilities of Large Language Model as World Model.
CoRR, 2024
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.
IEEE Trans. Knowl. Data Eng., October, 2023
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
ACM Trans. Knowl. Discov. Data, January, 2023
Inferring Origin-Destination Flows From Population Distribution.
IEEE Trans. Knowl. Data Eng., 2023
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.
CoRR, 2023
2022
DeepMM: Deep Learning Based Map Matching With Data Augmentation.
IEEE Trans. Mob. Comput., 2022
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data.
IEEE Trans. Knowl. Data Eng., 2022
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks.
IEEE Trans. Knowl. Data Eng., 2022
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.
ACM Trans. Knowl. Discov. Data, 2022
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network.
ACM Trans. Intell. Syst. Technol., 2022
2021
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction.
ACM Trans. Knowl. Discov. Data, 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
CoRR, 2021
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
One-shot Transfer Learning for Population Mapping.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
AttnMove: History Enhanced Trajectory Recovery via Attentional Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.
ACM Trans. Intell. Syst. Technol., 2020
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Learning to Simulate Human Mobility.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data.
ACM Trans. Spatial Algorithms Syst., 2019
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.
Proceedings of the World Wide Web Conference, 2019
Deep learning models for population flow generation from aggregated mobility data.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
DeepMM: Deep Learning Based Map Matching with Data Augmentation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Learning Phase Competition for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
DeepDPM: Dynamic Population Mapping via Deep Neural Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data.
Sensors, 2018
DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction.
IEEE Netw., 2018
Uniqueness in the City: Urban Morphology and Location Privacy.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018