Ph.D.

IEEE TKDE 2024 Spatio-temporal Trajectory Recovery

Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery

Recovering intermediate missing GPS points in a sparse trajectory with the proposed Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder (MM-STGED).

Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

Preprint

IEEE TKDE 2024 Spatio-temporal Representation

Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding

Learning general and comprehensive trajectory embeddings that are useful for a wide variety of downstream tasks with the proposed propose Maximum Multi-view Trajectory Entropy Coding (MMTEC).

Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin

Preprint Early-Access Code

ACM SIGMOD 2024 Spatio-temporal Diffusion Model ETA

Origin-Destination Travel Time Oracle for Map-based Services

Solving the Origin-Destination (OD) travel time oracle (ODT-Oracle) problem with a two-stage framework called Diffusion-based Origin-destination Travel Time Estimation (DOT).

Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin

Paper Preprint Code

KBS 2023 Spatio-temporal ST Graph

Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging

Proposing an Inductive and Adaptive Graph Convolution Networks (IAGCN) for spatio-temporal traffic data kriging in an inductive manner.

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan

Paper Code

NeurIPS 2023 Time Series

WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting

Effectively capture both long- and short-term repetitive patterns in time series with the proposed Water-wave Information Transmission and Recurrent Acceleration Network (WITRAN).

Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan

Paper Code

AAAI 2023 Spatio-temporal Check-in

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning

Representation learning of check-in sequences with the proposed contrastive pre-training model with adversarial perturbations for check-in sequence representation learning (CACSR).

Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan

Paper Code

AAAI 2021 Spatio-temporal Representation

Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction

Pre-training contextual location embeddings from spatial-temporal trajectories using the proposed Context and Time aware Location Embedding (CTLE) model.

Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

Paper Code

TKDE 2021 Spatio-temporal Representation

Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories

Pre-training location embeddings that incorporates visited time information using the proposed Time-Aware Location Embedding (TALE) model.

Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin

Paper Code

Expert Systems with Applications Time Series

Adversarial self-attentive time-variant neural networks for multi-step time series forecasting

Propose an Adversarial Truncated Cauchy Self-Attentive TimeVariant Neural Network (ASATVN) for multi-step ahead time series forecasting with time-varying mechanism.

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

Paper

Applied Intelligence Time Series

Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting

Propose a Multi-scale Adaptive attention-based Time-Variant neural Networks (MATVN) for multi-step ahead time series forecasting.

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

Paper