Yile Chen

According to our database, Yile Chen authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-supervised Learning for Geospatial AI: A Survey.

Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong

CoRR, 2024

Road Network Representation Learning with the Third Law of Geography.

Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong

CoRR, 2024

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

Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long

CoRR, 2024

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.

Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.

Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations.

Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.

Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries.

Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao

Proc. ACM Manag. Data, December, 2023

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals.

Yile Chen, Gao Cong, Cuauhtemoc Anda

Proc. VLDB Endow., November, 2023

Multivariate Time-series Imputation with Disentangled Temporal Representations.

Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards better urban intelligence: representation learning techniques for geospatial data analytics

Yile Chen

PhD thesis, 2022

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?

Jin Yao Chin, Yile Chen, Gao Cong

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.

Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang

Proc. VLDB Endow., 2021

Sinkhorn Collaborative Filtering.

Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.

Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison

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.

Yile Chen, Cheng Long, Gao Cong, Chenliang Li

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020