Yi Wang

Orcid: 0000-0002-3549-2960

Affiliations:
  • Peking University, Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Beijing, China


According to our database1, Yi Wang authored at least 15 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Hierarchical Gating Network for Cross-Domain Sequential Recommendation.
ACM Trans. Inf. Syst., July, 2025

A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction.
CoRR, June, 2025

Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources.
Neural Networks, 2025

Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers.
Neural Networks, 2025

2024
A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation.
Inf. Fusion, April, 2024

A deep multi-scale neural networks for crime hotspot mapping prediction.
Comput. Environ. Urban Syst., 2024

TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

A Transformer-Based Multimodal Model for Urban-Rural Fringe Identification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A lightweight multi-layer perceptron for efficient multivariate time series forecasting.
Knowl. Based Syst., 2024

Spatiotemporal Fusion Transformer for large-scale traffic forecasting.
Inf. Fusion, 2024

2023
Advances in spatiotemporal graph neural network prediction research.
Int. J. Digit. Earth, December, 2023

Adaptive Spatiotemporal InceptionNet for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., April, 2023

2022
Attention based spatiotemporal graph attention networks for traffic flow forecasting.
Inf. Sci., 2022

Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting.
ISPRS Int. J. Geo Inf., 2022

SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022


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