Chuang Yang

Orcid: 0000-0002-8504-0057

Affiliations:
  • University of Tokyo, Center for Spatial Information Science, Japan


According to our database1, Chuang Yang authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity.
Proc. VLDB Endow., October, 2024

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput., May, 2024

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.
CoRR, 2024

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Taming the Long Tail in Human Mobility Prediction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge, 2024

2023
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
IEEE Trans. Vis. Comput. Graph., August, 2023

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Trans. Knowl. Data Eng., 2023

A Survey on Data-driven COVID-19 and Future Pandemic Management.
ACM Comput. Surv., 2023

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility.
CoRR, 2023

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster.
Proceedings of the ACM Web Conference 2023, 2023

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Trans. Intell. Syst. Technol., 2022

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Data-Driven In-Crisis Community Identification for Disaster Response and Management.
Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021

2020
Human mobility based individual-level epidemic simulation platform.
ACM SIGSPATIAL Special, 2020

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR, 2019

Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019


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