Self-supervised Learning for Geospatial AI: A Survey.
Published in Information Fusion, 2025
Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong.
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series.
Published in TKDE, 2025
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang.
Electron Beam Melted Heterogeneously Porous Microlattices for Metallic Bone Applications: Design and Investigations of Boundary and Edge Effects.
Published in Additive Manufacturing, 2020
Pan Wang, Xinwei Li, Yue Jiang, Mui Ling Sharon Nai, Jun Ding, Jun Wei.
Conference Papers
Next-LocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs.
Published in STIntelligence workshop in CIKM , 2025
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, George Rosario Jagadeesh, Gao Cong.
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization.
Published in KDD, 2025
Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong.
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting.
Published in ICML, 2025
Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong.
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.
Published in EMNLP, 2024
Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong.
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Published in ICDE, 2024
Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong.
Multivariate time-series imputation with disentangled temporal representations.
Published in ICLR, 2023
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang