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Guoyang Qin

Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach

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Aug 30, 2024
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Channel-Aware Low-Rank Adaptation in Time Series Forecasting

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Jul 24, 2024
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Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner

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Jun 13, 2024
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ImputeFormer: Graph Transformers for Generalizable Spatiotemporal Imputation

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Dec 04, 2023
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Nexus sine qua non: Essentially connected neural networks for spatial-temporal forecasting of multivariate time series

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Jul 04, 2023
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A Macro-Micro Approach to Reconstructing Vehicle Trajectories on Multi-Lane Freeways with Lane Changing

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Jun 09, 2023
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Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network

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Mar 14, 2023
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Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns

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May 19, 2022
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