Yue Jiang

According to our database, Yue Jiang authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series.

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

IEEE Trans. Knowl. Data Eng., July, 2025

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization.

Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong

CoRR, June, 2025

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction.

Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong

CoRR, May, 2025

Self-supervised representation learning for geospatial objects: A survey.

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

Inf. Fusion, 2025

2024

nextlocllm: next location prediction using LLMs.

Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong

CoRR, 2024

Self-supervised Learning for Geospatial AI: A Survey.

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

CoRR, 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

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

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