Context-aware Deep Model for Joint Mobility and Time Prediction. - Yile Chen 001; Cheng Long 001; Gao Cong; Chenliang Li (WSDM, 2020)

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. - Yile Chen 001; Xiucheng Li; Gao Cong; Zhifeng Bao; Cheng Long 001; Yiding Liu; Arun Kumar Chandran; Richard Ellison (CIKM, 2021)

Sinkhorn Collaborative Filtering. - Xiucheng Li; Jin Yao Chin; Yile Chen 001; Gao Cong (WWW, 2021)

Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. - Yile Chen 001; Xiucheng Li; Gao Cong; Cheng Long 001; Zhifeng Bao; Shang Liu 005; Wanli Gu; Fuzheng Zhang (Proc. VLDB Endow., 2021)

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? - Jin Yao Chin; Yile Chen 001; Gao Cong (WSDM, 2022)

Towards better urban intelligence: representation learning techniques for geospatial data analytics - Yile Chen 001 (2022)

Multivariate Time-series Imputation with Disentangled Temporal Representations. - Shuai Liu 018; Xiucheng Li; Gao Cong; Yile Chen 001; Yue Jiang 005 (ICLR, 2023)

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. - Yile Chen 001; Gao Cong; Cuauhtemoc Anda (Proc. VLDB Endow., 2023)

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. - Songsong Mo; Yile Chen 001; Hao Wang 068; Gao Cong; Zhifeng Bao (Proc. ACM Manag. Data, 2023)

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. - Yue Jiang 005; Qin Chao; Yile Chen 001; Xiucheng Li; Shuai Liu 018; Gao Cong (EMNLP (Findings), 2024)

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. - Xinli Hao; Yile Chen 001; Chen Yang 009; Zhihui Du; Chaohong Ma; Chao Wu; Xiaofeng Meng 001 (ICDE, 2024)

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. - Yue Jiang 005; Xiucheng Li; Yile Chen 001; Shuai Liu 018; Weilong Kong; Antonis F. Lentzakis; Gao Cong (ICDE, 2024)

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. - Tangwen Qian; Yile Chen 001; Gao Cong; Yongjun Xu 001; Fei Wang 014 (ICDE, 2024)

Road Network Representation Learning with the Third Law of Geography. - Haicang Zhou; Weiming Huang 001; Yile Chen 001; Tiantian He 001; Gao Cong; Yew Soon Ong (NeurIPS, 2024)

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. - Yile Chen 001; Xiucheng Li; Gao Cong; Zhifeng Bao; Cheng Long 001 (CoRR, 2024)

Self-supervised Learning for Geospatial AI: A Survey. - Yile Chen 001; Weiming Huang 001; Kaiqi Zhao 001; Yue Jiang 005; Gao Cong (CoRR, 2024)

nextlocllm: next location prediction using LLMs. - Shuai Liu 018; Ning Cao; Yile Chen 001; Yue Jiang 005; Gao Cong (CoRR, 2024)

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. - Tangwen Qian; Junhe Li; Yile Chen 001; Gao Cong; Tao Sun 011; Fei Wang 014; Yongjun Xu 001 (CoRR, 2024)

FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities. - Jingge Xiao; Yile Chen 001; Gao Cong; Wolfgang Nejdl; Simon Gottschalk 001 (CoRR, 2024)

Self-supervised representation learning for geospatial objects: A survey. - Yile Chen 001; Weiming Huang 001; Kaiqi Zhao 001; Yue Jiang 005; Gao Cong (Inf. Fusion, 2025)

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction. - Shuai Liu 018; Ning Cao; Yile Chen 001; Yue Jiang 005; Gao Cong (CoRR, 2025)

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. - Yile Chen 001; Yicheng Tao 001; Yue Jiang 005; Shuai Liu 018; Han Yu; Gao Cong (CoRR, 2025)

Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series. - Shuai Liu 018; Xiucheng Li; Yile Chen 001; Yue Jiang 005; Gao Cong (IEEE Trans. Knowl. Data Eng., 2025)