Yan Lin

Orcid: 0000-0002-2320-9777

Affiliations:
  • Beijing Jiaotong University, China


According to our database1, Yan Lin authored at least 25 papers between 2021 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory Generation.
IEEE Trans. Knowl. Data Eng., December, 2024

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding.
IEEE Trans. Knowl. Data Eng., December, 2024

Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery.
IEEE Trans. Knowl. Data Eng., November, 2024

Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.
Knowl. Based Syst., 2024

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.
CoRR, 2024

An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data.
CoRR, 2024

Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models.
CoRR, 2024

PTR: A Pre-trained Language Model for Trajectory Recovery.
CoRR, 2024

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability.
CoRR, 2024

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation.
CoRR, 2024

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba.
CoRR, 2024

UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings.
CoRR, 2024

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models.
CoRR, 2024

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.
CoRR, 2024

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation.
CoRR, 2024

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains.
CoRR, 2024

2023
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting.
Appl. Intell., December, 2023

Adversarial self-attentive time-variant neural networks for multi-step time series forecasting.
Expert Syst. Appl., November, 2023

Origin-Destination Travel Time Oracle for Map-based Services.
Proc. ACM Manag. Data, September, 2023

WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories.
IEEE Trans. Knowl. Data Eng., 2022

Contrastive Pre-training of Spatial-Temporal Trajectory Embeddings.
CoRR, 2022

2021
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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