Yile Chen

Orcid: 0000-0002-8502-1016

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2022)


According to our database1, Yile Chen authored at least 19 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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5
10
5
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1
5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities.
CoRR, 2024

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models.
CoRR, 2024

nextlocllm: next location prediction using LLMs.
CoRR, 2024

Self-supervised Learning for Geospatial AI: A Survey.
CoRR, 2024

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.
CoRR, 2024

Road Network Representation Learning with the Third Law of Geography.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries.
Proc. ACM Manag. Data, December, 2023

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals.
Proc. VLDB Endow., November, 2023

Multivariate Time-series Imputation with Disentangled Temporal Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Towards better urban intelligence: representation learning techniques for geospatial data analytics
PhD thesis, 2022

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
Proc. VLDB Endow., 2021

Sinkhorn Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Context-aware Deep Model for Joint Mobility and Time Prediction.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020


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