Yile Chen (陈亦乐)

Research Fellow

School of Computer Science and Engineering
Nanyang Technological University
50 Nanyang Avenue, Singapore 639798

Email: yile001 AT e.ntu.edu.sg

About Me

I am a research fellow at the School of Computer Science and Engineering, Nanyang Technological University (NTU). I obtained my Ph.D degree from School of Computer Science and Engineering, NTU, supervised by Prof. Gao Cong. Prior to NTU, I was an undergraduate student at School of Cyber Science and Engineering, Wuhan University, supervised by Prof. Chenliang Li.

I am broadly interested in data mining and data management, and their applications on spatio-temporal data analytics, smart city, and recommender systems.

Publications

(*=corresponding author)

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals
Yile Chen, Gao Cong, Cuauhtemoc Anda
Proceedings of the VLDB Endowment 2024 (VLDB 2024)
PDF

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
Preprint
PDF

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
ACM SIGMOD International Conference on Management of Data (SIGMOD 2024)
PDF

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
Tangwen Qian, Yile Chen*, Gao Cong, Yongjun Xu, Fei Wang
IEEE International Conference on Data Engineering (ICDE 2024)
PDF

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
IEEE International Conference on Data Engineering (ICDE 2024)
PDF

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
IEEE International Conference on Data Engineering (ICDE 2024)
PDF

Multivariate Time-series Imputation with Disentangled Temporal Representations
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
The 11th International Conference on Learning Representations (ICLR 2023)
PDF

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
Proceedings of the VLDB Endowment 2022 (VLDB 2022)
PDF arXiv

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?
Jin Yao Chin, Yile Chen*, Gao Cong
ACM International Conference on Web Search and Data Mining (WSDM 2022)
Best Paper Award Runner-up
PDF

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
ACM International Conference on Information & Knowledge Management (CIKM 2021)
PDF

Sinkhorn Collaborative Filtering
Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
Proceedings of the Web Conference 2021 (WWW 2021)
PDF

Context-aware Deep Model for Joint Mobility and Time Prediction
Yile Chen, Cheng Long, Gao Cong, Chenliang Li
ACM International Conference on Web Search and Data Mining (WSDM 2020)
PDF

Services

Conference Reviewer/PC

2024: KDD, CIKM, IJCAI, SDM, PAKDD
2023: KDD, CIKM, IJCAI, PAKDD, DASFAA (demo)
2022: ICDE, KDD, CIKM

Journal Reviewer

TKDE, TOIS, TKDD, TNNLS, Journal of Web Semantics, etc.

Teaching

Data Analytics & Mining (CE/CZ4032): Teaching Assistant, Fall 2021, NTU.
Introduction to Databases (CZ2007): Teaching Assistant, Spring 2021, Fall 2020, Spring 2020, Fall 2019, NTU.
Introduction to Data Science & AI (CE/CZ1015): Teaching Assistant, Spring 2019, NTU.