| Context-aware deep model for joint mobility and time prediction Y Chen, C Long, G Cong, C Li Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 76 | 2020 |
| Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics Y Chen, X Li, G Cong, Z Bao, C Long, Y Liu, AK Chandran, R Ellison Proceedings of the 30th ACM International Conference on Information …, 2021 | 71 | 2021 |
| The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? JY Chin, Y Chen, G Cong Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 39 | 2022 |
| Multivariate Time-series Imputation with Disentangled Temporal Representations S LIU, X Li, G Cong, Y Chen, YUE JIANG The Eleventh International Conference on Learning Representations, 2023 | 31 | 2023 |
| Points-of-interest relationship inference with spatial-enriched graph neural networks Y Chen, X Li, G Cong, C Long, Z Bao, S Liu, W Gu, F Zhang Proceedings of the VLDB Endowment 15 (3), 504-512, 2022 | 13 | 2022 |
| TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals Y Chen, G Cong, C Anda Proceedings of the VLDB Endowment 17 (3), 414-426, 2023 | 7 | 2023 |
| Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries S Mo, Y Chen, H Wang, G Cong, Z Bao Proceedings of the ACM on Management of Data 1 (4), 1-26, 2023 | 6 | 2023 |
| Sinkhorn Collaborative Filtering X Li, JY Chin, Y Chen, G Cong Proceedings of the Web Conference 2021, 582-592, 2021 | 6 | 2021 |
| Self-supervised Learning for Geospatial AI: A Survey Y Chen, W Huang, K Zhao, Y Jiang, G Cong arXiv preprint arXiv:2408.12133, 2024 | 5 | 2024 |
| UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models Y Jiang, Q Chao, Y Chen, X Li, S Liu, G Cong EMNLP 2024 Findings, 2024 | 4 | 2024 |
| Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics Y Chen, X Li, G Cong, Z Bao, C Long arXiv preprint arXiv:2403.11495, 2024 | 4 | 2024 |
| AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction T Qian, Y Chen, G Cong, Y Xu, F Wang ICDE, 2024 | 4 | 2024 |
| Road Network Representation Learning with the Third Law of Geography H Zhou, W Huang, Y Chen, T He, G Cong, YS Ong NeurIPS 2024, 2024 | 3 | 2024 |
| From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations X Hao, Y Chen, C Yang, Z Du, C Ma, C Wu, X Meng ICDE, 2024 | 3 | 2024 |
| SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting Y Jiang, X Li, Y Chen, S Liu, W Kong, AF Lentzakis, G Cong ICDE, 2024 | 1 | 2024 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities J Xiao, Y Chen, G Cong, W Nejdl, S Gottschalk arXiv preprint arXiv:2410.23160, 2024 | | 2024 |
| Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models T Qian, J Li, Y Chen, G Cong, T Sun, F Wang, Y Xu arXiv preprint arXiv:2410.13196, 2024 | | 2024 |
| nextlocllm: next location prediction using LLMs S Liu, N Cao, Y Chen, Y Jiang, G Cong arXiv preprint arXiv:2410.09129, 2024 | | 2024 |
