Name：Chen Yile
Professional Title / Position：Associate Professor
Research Direction：Data Mining, Artificial Intelligence, Spatio-temporal Data Analytics, AI for Healthcare
Team：Data Science and Artificial Intelligence Laboratory
Email：chenyile@scut.edu.cn
Biography：
I am an Associate Professor at School of Computer Science and Engineering, South China University of Technology (SCUT), affiliated with Data Science and Artificial Intelligence Laboratory. I was a research fellow at the College of Computing and Data Science, Nanyang Technological University (NTU), working closely with Prof. Gao Cong and Prof. Han Yu. I obtained my Ph.D degree from School of Computer Science and Engineering at NTU, supervised by Prof. Gao Cong. Prior to NTU, I obtained my Bachelor's degree from Wuhan University.
Education：
2018.08-2022.08Nanyang Technological University, PhD
2014.09-2018.06Wuhan University, Bachelor
Work Experience：
2026.02-presentAssociate Professor, South China University of Technology
2022.08-2026.01Research Fellow, Nanyang Technological University
Publications：
Representative Publications:
1. Yile Chen, Yicheng Tao, Yue Jiang, et al. Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. KDD 2025
2. Yue Jiang, Chenxi Liu, Yile Chen*, et al. Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. WWW 2026
3. Yile Chen, Xiucheng Li, Gao Cong, et al. Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE TMC, 2025.
4. Yue Jiang, Yile Chen*, Xiucheng Li, et al. FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. ICML 2025
5. Yile Chen, Gao Cong, Cuauhetemoc Anda. TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. VLDB 2024
6. Yile Chen, Xiucheng Li, Gao Cong, et al. Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. VLDB 2022
Awards：
Pearl River Talent Program, Guangdong Province
WSDM 2022 Best Paper Runner-up Award
